Browse by UCL Departments and Centres
 | Up a level |
Group by: Author | Type
Number of items: 677.
A
Abah, SE;
Burté, F;
Marquet, S;
Brown, BJ;
Akinkunmi, F;
Oyinloye, G;
Afolabi, NK;
... Fernandez-Reyes, D; + view all
(2018)
Low plasma haptoglobin is a risk factor for life-threatening childhood severe malarial anemia and not an exclusive consequence of hemolysis.
Scientific Reports
, 8
, Article 17527. 10.1038/s41598-018-35944-w.
|
 |
|
Abbadi, M;
Spurgeon, S;
(2018)
Growth Dynamics of Algal-bacterial Cocultures: A Control Engineering Perspective.
In:
2018 European Control Conference (ECC).
(pp. pp. 2344-2349).
IEEE
|
|
|
Abbadi, M;
Spurgeon, S;
Khan, N;
Warren, M;
(2018)
Understanding the control of a vitamin B12 riboswitch.
In:
2018 UKACC 12th International Conference on Control (CONTROL).
(pp. pp. 474-479).
IEEE
|
|
|
Abrahão, S;
De Marco, L;
Ferrucci, F;
Gomez, J;
Gravino, C;
Sarro, F;
(2018)
Definition and evaluation of a COSMIC measurement procedure for sizing Web applications in a model-driven development environment.
Information and Software Technology
10.1016/j.infsof.2018.07.012.
(In press).
|
|
Acs, G;
Melis, L;
Castelluccia, C;
De Cristofaro, E;
(2018)
Differentially Private Mixture of Generative Neural Networks.
IEEE Transactions on Knowledge and Data Engineering
, 31
(6)
pp. 1109-1121.
10.1109/TKDE.2018.2855136.
|
|
|
Adams, RA;
Napier, G;
Roiser, JP;
Mathys, C;
Gilleen, J;
(2018)
Attractor-like dynamics in belief updating in schizophrenia.
Journal of Neuroscience
10.1523/JNEUROSCI.3163-17.2018.
(In press).
|
|
Adeagbo, O;
Herbst, C;
Dlamini, N;
Mhlongo, T;
Sonnenberg, P;
Estcourt, C;
Blandford, A;
... Shahmanesh, M; + view all
(2018)
"If She Tests Negative, It Means I Am Also Negative": Men's Construction of HIV Testing in South Africa.
Presented at: HIV Research for Prevention Meeting 2018 (HIVR4P) - AIDS Vaccine, Microbicide and ARV-Based Prevention Science, Madrid, Spain.
|
|
|
Aguirre, A;
Barthe, G;
Hsu, J;
Silva, A;
(2018)
Almost sure productivity.
In:
Proceedings of the 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018).
(pp. 113.1-113.15).
LIPIcs , Schloss Dagstuhl - Leibniz-Zentrum für Informatik: Prague, Czech Republic.
|
|
Albert, E;
Gómez-Zamalloa, M;
Rubio, A;
Sammartino, M;
Silva, A;
(2018)
SDN-Actors: Modeling and Verification of SDN Programs.
In: Havelund, K and Peleska, J and Roscoe, B and de Vink, E, (eds.)
Proceedings of International Symposium on Formal Methods 2018.
(pp. pp. 550-567).
Springer Nature: Cham, Switzerland.
|
|
Alfaro-Almagro, F;
Jenkinson, M;
Bangerter, NK;
Andersson, JLR;
Griffanti, L;
Douaud, G;
Sotiropoulos, SN;
... Smith, SM; + view all
(2018)
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
Neuroimage
, 166
pp. 400-424.
10.1016/j.neuroimage.2017.10.034.
|
|
Alglave, J;
Maranget, L;
McKenney, PE;
Parri, A;
Stern, A;
(2018)
Frightening Small Children and Disconcerting Grown-ups: Concurrency in the Linux Kernel.
In:
ASPLOS '18 Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems.
(pp. pp. 405-418).
ACM: Williamsburg, VA, USA.
|
|
|
Allamanis, M;
Barr, ET;
Bird, C;
Devanbu, P;
Marron, M;
Sutton, C;
(2018)
Mining Semantic Loop Idioms.
IEEE Transactions on Software Engineering
, 44
(7)
pp. 651-668.
10.1109/TSE.2018.2832048.
|
|
|
Allamanis, M;
Barr, ET;
Devanbu, P;
Sutton, C;
(2018)
A survey of machine learning for big code and naturalness.
ACM Computing Surveys
, 51
(4)
, Article 81. 10.1145/3212695.
|
|
|
Allan, M;
Ourselin, S;
Hawkes, DJ;
Kelly, JD;
Stoyanov, D;
(2018)
3D Pose Estimation of Articulated Instruments in Robotic Minimally Invasive Surgery.
IEEE Transactions on Medical Imaging
, 37
(5)
10.1109/TMI.2018.2794439.
|
|
|
Almeshari, M;
Dowell, J;
Nyhan, J;
(2018)
Personalisation of digital museum guides through implicit recognition of visitor personas.
In:
Proceedings of the 2nd Workshop on Mobile Access to Cultural Heritage co-located with 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (Mobile HCI 2018).
CEUR
(In press).
|
|
|
Alsaeed, D;
Furniss, D;
Blandford, A;
Smith, F;
Orlu, M;
(2018)
Carers’ experiences of home enteral feeding: a survey exploring medicines administration challenges and strategies.
Journal of Clinical Pharmacy and Therapeutics
, 43
pp. 359-365.
10.1111/jcpt.12664.
|
|
|
Alshahwan, N;
Gao, X;
Harman, M;
Jia, Y;
Mao, K;
Mols, A;
Tei, T;
(2018)
Deploying Search Based Software Engineering with Sapienz at Facebook.
In: Colanzi, TE and McMinn, P, (eds.)
Proceedings of the 10th International Symposium on Search Based Software Engineering.
(pp. pp. 3-45).
Springer Nature: Cham, Switzerland.
|
|
|
An, VVG;
Mirza, Y;
Mazomenos, E;
Vasconcelos, F;
Stoyanov, D;
Oussedik, S;
(2018)
Arthroscopic simulation using a knee model can be used to train speed and gaze strategies in knee arthroscopy.
The Knee
, 25
(6)
pp. 1214-1221.
10.1016/j.knee.2018.05.019.
|
|
Anatürk, M;
Demnitz, N;
Ebmeier, KP;
Sexton, CE;
(2018)
A systematic review and meta-analysis of structural magnetic resonance imaging studies investigating cognitive and social activity levels in older adults.
Neuroscience & Biobehavioral Reviews
, 93
pp. 71-84.
10.1016/j.neubiorev.2018.06.012.
|
|
|
Andersson, JLR;
Graham, MS;
Drobnjak, I;
Zhang, H;
Campbell, J;
(2018)
Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data.
Neuroimage
, 171
pp. 277-295.
10.1016/j.neuroimage.2017.12.040.
|
|
|
Andrade, FM;
Severini, S;
(2018)
Unitary equivalence between the Green's function and Schrödinger approaches for quantum graphs.
Physical Review A
, 98
(6)
, Article 062107. 10.1103/PhysRevA.98.062107.
|
|
|
Andrews, Jerone Theodore Alexander;
(2018)
Representation learning for anomaly detection in computer vision.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Andriotis, P;
Stringhini, G;
Sasse, MA;
(2018)
Studying users' adaptation to Android's run-time fine-grained access control system.
Journal of Information Security and Applications
, 40
pp. 31-43.
10.1016/j.jisa.2018.02.004.
|
|
Angelini, O;
Di Matteo, T;
(2018)
Complexity of Products: The Effect of Data Regularisation.
Entropy
, 20
(11)
, Article 814. 10.3390/e20110814.
|
|
|
Antonio Gutierrez, P;
Perez-Ortiz, M;
Suarez, A;
(2018)
Class Switching Ensembles for Ordinal Regression.
In: Rojas, I and Joya, G and Catala, A, (eds.)
Advances in Computational Intelligence (Proceedings Part 1).
(pp. pp. 408-419).
Springer: Cham, Switzerland.
|
|
Araujo, A;
Ruebben, A;
Bentley, PJ;
Basanta, D;
(2018)
Testing Three Hypotheses of the Contribution of Geometry and Migration Dynamics to Intestine Crypt Evolution.
In: Ikegami, T and Virgo, N and Witkowski, O and Oka, M and Suzuki, R and Iizuka, H, (eds.)
Artificial Life Conference Proceedings.
(pp. pp. 420-427).
MIT Press
|
|
|
Arbel, M;
Gretton, AL;
(2018)
Kernel Conditional Exponential Family.
In:
Proceedings of the 21st International Conference on Artifi- cial Intelligence and Statistics (AISTATS) 2018.
(pp. pp. 1337-1346).
PMLR
|
|
|
Arbel, M;
Sutherland, DJ;
Bińkowski, M;
Gretton, A;
(2018)
On gradient regularizers for MMD GANs.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and Cesa-Bianchi, N and Garnett, R, (eds.)
Advances in Neural Information Processing Systems 31 (NIPS 2018).
NIPS Proceedings: Montreal, Canada.
|
|
Arridge, SR;
Ito, K;
Jin, B;
Zhang, C;
(2018)
Variational Gaussian approximation for Poisson data.
Inverse Problems
, 34
(2)
, Article 025005. 10.1088/1361-6420/aaa0ab.
|
|
|
Aste, T;
Divos, P;
Del Bano Rollin, S;
Bihari, Z;
(2018)
Risk-Neutral Pricing and Hedging of In-Play Football Bets.
Applied Mathematical Finance
, 25
(4)
pp. 315-335.
10.1080/1350486X.2018.1535275.
|
|
Atkinson, D;
Usman, M;
Kakkar, LS;
Arridge, SR;
(2018)
Geometry in MR Reconstruction.
Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.
|
|
Aubry, F;
Vissicchio, S;
Bonaventure, O;
Deville, Y;
(2018)
Robustly disjoint paths with segment routing.
In: Dimitropoulos, X and Dainotti, A and Vanbever, L and Benson, T, (eds.)
CoNEXT '18: Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies.
(pp. pp. 204-216).
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
Ayobi, A;
(2018)
Informing the Design of Personal Informatics Technologies for Unpredictable Chronic Conditions.
In:
Proceedings of the 2018 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '18).
ACM
(In press).
|
|
|
Ayobi, A;
Sonne, T;
Marshall, P;
Cox, AL;
(2018)
Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals.
In:
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18).
ACM: Montreal, Canada.
|
|
|
Azouvi, S;
Hicks, A;
Murdoch, SJ;
(2018)
Incentives in Security Protocols.
In: Matyáš, V and Švenda, P and Stajano, F and Christianson, B and Anderson, J, (eds.)
Security Protocols XXVI: 26th International Workshop, Cambridge, UK, March 19–21, 2018, Revised Selected Papers.
(pp. pp. 132-141).
Springer: Cham, Switzerland.
|
|
Azouvi, S;
Maller, M;
Meiklejohn, S;
(2018)
Egalitarian Society or Benevolent Dictatorship: The State of Cryptocurrency Governance.
In: Zohar, A and Eyal, I and Teague, V and Clark, J and Bracciali, A and Pintore, F and Sala, M, (eds.)
Financial Cryptography and Data Security: FC 2018 International Workshops, BITCOIN, VOTING, and WTSC, Nieuwpoort, Curaçao, March 2, 2018, Revised Selected Papers.
(pp. pp. 127-143).
Springer: Cham, Switzerland.
|
|
Azouvi, S;
Yousaf, H;
Hicks, A;
(2018)
Incentivising Privacy in Cryptocurrencies.
Presented at: OPERANDI 2018: Open Day for Privacy, Transparency and Decentralization, Barcelona, Spain.
|
|
B
|
Bailey, C;
Collins, DJ;
Tunariu, N;
Orton, MR;
Morgan, VA;
Feiweier, T;
Hawkes, DJ;
... Panagiotaki, E; + view all
(2018)
Microstructure characterization of Bone Metastases from Prostate cancer with Diffusion MRI: Preliminary Findings.
Frontiers in Oncology
, 8
, Article 26. 10.3389/fonc.2018.00026.
|
|
|
Balbastre, Y;
Brudfors, M;
Bronik, K;
Ashburner, J;
(2018)
Diffeomorphic brain shape modelling using Gauss-Newton optimisation.
In: Frangi, AF and Schnabel, JA and Davatzikos, C and Alberola-López, C, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018.
(pp. pp. 862-870).
Springer: Cham, Switzerland.
|
|
|
Balduzzi, D;
Racaniere, S;
Martens, J;
Foerster, J;
Tuyls, K;
Graepel, T;
(2018)
The Mechanics of n-Player Differentiable Games.
In: Dy, JG and Krause, A, (eds.)
Proceedings of the 35th International Conference on Machine Learning.
(pp. pp. 363-372).
JMLR.org
|
|
|
Balduzzi, D;
Tuyls, K;
Pérolat, J;
Graepel, T;
(2018)
Re-evaluating evaluation.
In: Bengio, S and Wallach, HM and Larochelle, H and Grauman, K and Cesa-Bianchi, N and Garnett, R, (eds.)
Proceedings of the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018).
(pp. pp. 3272-3283).
Neural Information Processing Systems Foundation, Inc.: Montréal, Canada.
|
|
|
Banakou, D;
Kishore, S;
Slater, M;
(2018)
Virtually being Einstein results in an improvement in cognitive task performance and a decrease in age bias.
Frontiers in Psychology
, 9
(917)
10.3389/fpsyg.2018.00917.
|
|
|
Banchi, L;
Grant, E;
Rocchetto, A;
Severini, S;
(2018)
Modelling non-markovian quantum processes with recurrent neural networks.
New Journal of Physics
, 20
, Article 123030. 10.1088/1367-2630/aaf749.
|
|
|
Bano, S;
Asad, M;
Fetit, AE;
Rekik, I;
(2018)
XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference.
In: Rekik, I and Unal, G and Adeli, E and Park, SH, (eds.)
PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings.
(pp. pp. 129-137).
Springer: Cham, Switzerland.
|
|
Bano, S;
Richter, P;
Javed, M;
Sundaresan, S;
Durumeric, Z;
Murdoch, S;
Mortier, R;
(2018)
Scanning the Internet for Liveness.
ACM SIGCOMM Computer Communication Review
, 48
(2)
pp. 2-9.
10.1145/3213232.3213234.
|
|
|
Bano, S;
Suveges, T;
Zhang, J;
McKenna, SJ;
(2018)
Multimodal Egocentric Analysis of Focused Interactions.
IEEE Access
, 6
pp. 37493-37505.
10.1109/ACCESS.2018.2850284.
|
|
Bano, Sophia;
Zhang, Jianguo;
McKenna, Stephen J.;
(2018)
Finding Time Together: Detection and Classification of Focused Interaction in Egocentric Video.
In:
Proceedings of 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
(pp. pp. 2322-2330).
IEEE: Venice, Italy.
|
|
|
Baomar, H;
Bentley, PJ;
(2018)
Autonomous navigation and landing of large jets using Artificial Neural Networks and learning by imitation.
In:
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
IEEE: Honolulu, HI, USA.
|
|
Barbareschi, G;
Cheng, TJ;
Holloway, C;
(2018)
The effect of technique and transfer board use on the performance of wheelchair transfers.
Healthcare Technology Letters
, 5
(2)
pp. 76-80.
10.1049/htl.2017.0075.
|
|
|
Barbareschi, G;
Holloway, CSM;
Berthouze, N;
Sonenblum, S;
Sprigle, S;
(2018)
Use of a Low Cost, Chest-Mounted Accelerometer to Evaluate Transfer Skills of Wheelchair Users During Everyday Activities.
JMIR Rehabilitation and Assistive Technologies
, 5
(2)
, Article e11748. 10.2196/11748.
|
|
Barbareschi, Giulia;
(2018)
YouTransfer, YouDesign: A participatory approach to design assistive technology for wheelchair transfers.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Barker, M;
Dombrowski, SU;
Colbourn, T;
Fall, CHD;
Kriznik, NM;
Lawrence, WT;
Norris, SA;
... Stephenson, J; + view all
(2018)
Intervention strategies to improve nutrition and health behaviours before conception.
The Lancet
, 391
(10132)
pp. 1853-1864.
10.1016/S0140-6736(18)30313-1.
|
|
Barnett, J;
Treleaven, P;
(2018)
Algorithmic Dispute Resolution-The Automation of Professional Dispute Resolution Using AI and Blockchain Technologies.
The Computer Journal
, 61
(3)
pp. 399-408.
10.1093/comjnl/bxx103.
|
|
Barucca, P;
Caldarelli, G;
Squartini, T;
(2018)
Tackling Information Asymmetry in Networks: A New Entropy-Based Ranking Index.
Journal of Statistical Physics
, 173
(3-4)
pp. 1028-1044.
10.1007/s10955-018-2076-z.
|
|
Barucca, P;
Lillo, F;
(2018)
The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market.
Computational Management Science
, 15
(1)
pp. 33-53.
10.1007/s10287-017-0293-6.
|
|
Barucca, P;
Lillo, F;
Mazzarisi, P;
Tantari, D;
(2018)
Disentangling group and link persistence in dynamic stochastic block models.
Journal of Statistical Mechanics: Theory and Experiment
, 2018
, Article 123407. 10.1088/1742-5468/aaeb44.
|
|
Barucca, P;
Mazzarisi, P;
Tantari, D;
Lillo, F;
(2018)
A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market.
In:
Proceedings of CCS2018.
Complex Systems Society: Thessaloniki, Greece.
|
|
Basios, M;
Li, L;
Wu, F;
Kanthan, L;
Barr, E;
(2018)
Darwinian Data Structure Selection.
In: Leavens, Gary T., (ed.)
Proceedings of ESEC/FSE '18 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
ACM: FL, USA.
|
|
|
Batalle, D;
O'Muircheartaigh, J;
Makropoulos, A;
Kelly, CJ;
Dimitrova, R;
Hughes, EJ;
Hajnal, JV;
... Counsell, SJ; + view all
(2018)
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo.
Neuroimage
10.1016/j.neuroimage.2018.05.046.
|
|
|
Batrinca, B;
Hesse, CW;
Treleaven, PC;
(2018)
European Trading Volumes on Cross-market Holidays.
International Journal of Finance and Economics
, 23
(4)
pp. 675-704.
10.1002/ijfe.1643.
|
|
|
Batrinca, B;
Hesse, CW;
Treleaven, PC;
(2018)
Examining drivers of trading volume in European markets.
International Journal of Finance and Economics
, 23
(2)
pp. 134-154.
10.1002/ijfe.1608.
|
|
|
Battiston, M;
Grussu, F;
Ianus, A;
Schneider, T;
Prados, F;
Fairney, J;
Ourselin, S;
... Samson, R; + view all
(2018)
An optimized framework for quantitative Magnetization Transfer imaging of the cervical spinal cord in vivo.
Magnetic Resonance in Medicine
, 79
(5)
pp. 2576-2588.
10.1002/mrm.26909.
|
|
|
Batz, K;
Kaminski, BL;
Katoen, JP;
Matheja, C;
(2018)
How long, O Bayesian network, will I sample thee?: A program analysis perspective on expected sampling times.
In: Ahmed, A, (ed.)
Proceedings of Programming Languages and Systems. ESOP 2018.
(pp. pp. 186-213).
Springer: Cham.
|
|
Baum, C;
Bootle, J;
Cerulli, A;
del Pino, R;
Groth, J;
Lyubashevsky, V;
(2018)
Sub-linear lattice-based zero-knowledge arguments for arithmetic circuits.
In: Shacham, H and Boldyreva, A, (eds.)
Advances in Cryptology – CRYPTO 2018: 38th Annual International Cryptology Conference, Proceedings, Part II.
(pp. pp. 669-699).
Springer: Cham, Switzerland.
|
|
Bausch, J;
Cubitt, TS;
Lucia, A;
Perez-Garcia, D;
Wolf, MM;
(2018)
Size-driven quantum phase transitions.
Proceedings of the National Academy of Sciences of the United States of America
, 115
(1)
pp. 19-23.
10.1073/pnas.1705042114.
|
|
Becker, I;
Parkin, S;
Sasse, MA;
(2018)
The Rewards and Costs of Stronger Passwords in a University: Linking Password Lifetime to Strength.
In:
27th USENIX Security Symposium.
(pp. pp. 239-253).
USENIX Association
|
|
|
Bekhti, Y;
Lucka, F;
Salmon, J;
Gramfort, A;
(2018)
A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging.
Inverse Problems
, 34
(8)
, Article 085010. 10.1088/1361-6420/aac9b3.
|
|
|
Bella, A;
Shaw, M;
De Santis, E;
Ryadnov, MG;
(2018)
Imaging Protein Fibers at the Nanoscale and In Situ.
Methods in Molecular Biology
, 1777
pp. 83-100.
10.1007/978-1-4939-7811-3_4.
|
|
Benrimoh, D;
Parr, T;
Vincent, P;
Adams, RA;
Friston, K;
(2018)
Active Inference and Auditory Hallucinations.
Computational Psychiatry
, 2
pp. 183-204.
10.1162/cpsy_a_00022.
|
|
|
Beohar, H;
König, B;
Küpper, S;
Silva, A;
(2018)
Conditional transition systems with upgrades.
In:
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering (TASE) 2017.
(pp. pp. 1-8).
IEEE: Danvers (MA), USA.
|
|
Beohar, H;
König, B;
Küpper, S;
Silva, A;
Wissmann, T;
(2018)
A coalgebraic treatment of conditional transition systems with upgrades.
Logical Methods in Computer Science
, 14
(1)
10.23638/LMCS-14(1:19)2018.
|
|
|
Bermudez Villalva, D;
Onaolapo, J;
Stringhini, G;
Musolesi, M;
(2018)
Under and over the surface: a comparison of the use of leaked account credentials in the Dark and Surface Web.
Crime Science
, 7
, Article 17. 10.1186/s40163-018-0092-6.
|
|
|
Bernard-Jones, E;
Onaolapo, J;
Stringhini, G;
(2018)
BABELTOWER: How Language Affects Criminal Activity in Stolen Webmail Accounts.
In:
(Proceedings) The Web Conference.
ACM
|
|
|
Besel, C;
Echeverria, J;
Zhou, S;
(2018)
Full Cycle Analysis of a Large-scale Botnet Attack on Twitter.
In: Brandes, U and Reddy, C and Tagarelli, A, (eds.)
Proceedings of 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
(pp. pp. 170-177).
IEEE: Barcelona, Spain.
|
|
|
Bińkowski, M;
Sutherland, DJ;
Arbel, M;
Gretton, A;
(2018)
Demystifying MMD GANs.
In: Bengio, Yoshua and LeCun, Yann, (eds.)
Proceedings of ICLR 2018 : International Conference on Learning Representations.
ICLR: Vancouver, BC, Canada,.
|
|
|
Blackshear, S;
Gorogiannis, N;
O'Hearn, P;
Sergey, I;
(2018)
RacerD: compositional static race detection.
Proceedings of the ACM on Programming Languages
, 2
, Article 144. 10.1145/3276514.
|
|
|
Blandford, A;
Gibbs, JL;
Newhouse, N;
Perski, O;
Singh, A;
Murray, E;
(2018)
Seven Lessons for interdisciplinary research on interactive digital health.
Digital Health
, 4
pp. 1-13.
10.1177/2055207618770325.
|
|
|
Blot, A;
Hoos, HH;
Kessaci, M-E;
Jourdan, L;
(2018)
Automatic Configuration of Bi-objective Optimisation Algorithms: Impact of Correlation between Objectives.
In:
30th IEEE International Conference on Tools with Artificial Intelligence Proceedings.
(pp. pp. 571-578).
IEEE
|
|
|
Blot, A;
Kessaci, MÉ;
Jourdan, L;
(2018)
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation.
Journal of Heuristics
, 24
(6)
pp. 853-877.
10.1007/s10732-018-9381-1.
|
|
Blot, A;
Kessaci, MÉ;
Jourdan, L;
De Causmaecker, P;
(2018)
Adaptive multi-objective local search algorithms for the permutation flowshop scheduling problem.
In:
International Conference on Learning and Intelligent Optimization.
(pp. pp. 241-256).
Springer: Cham, Switzerland.
|
|
Blot, A;
López-Ibáñez, M;
Kessaci, MÉ;
Jourdan, L;
(2018)
New initialisation techniques for multi-objective local search: Application to the bi-objective permutation flowshop.
In:
Parallel Problem Solving from Nature – PPSN XV.
(pp. pp. 323-334).
Springer: Cham, Switzerland.
|
|
Blumberg, SB;
Tanno, R;
Kokkinos, I;
Alexander, DC;
(2018)
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images.
In: Frangi, AF and Schnabel, JA and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Proceedings, Part I.
(pp. pp. 118-125).
Springer: Cham, Switzerland.
|
|
Bodenstedt, S;
Allan, M;
Agustinos, A;
Du, X;
García-Peraza-Herrera, LC;
Kenngott, H;
Kurmann, T;
... Speidel, S; + view all
(2018)
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery.
arXiv
, Article 1805.02475.
(In press).
|
|
Boeing, P;
Leon, M;
Nesbeth, DN;
Finkelstein, A;
Barnes, C;
(2018)
Towards an Aspect-Oriented Design and Modelling Framework for Synthetic Biology.
Processes
, 6
(9)
, Article 167. 10.3390/pr6090167.
|
|
|
Bonchi, F;
Gadducci, F;
Kissinger, A;
Sobocinski, P;
Zanasi, F;
(2018)
Rewriting with Frobenius.
In: Dawar, A and Grädel, E, (eds.)
Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science.
(pp. pp. 165-174).
ACM: Oxford, United Kingdom.
|
|
|
Bonchi, F;
Sobocinski, P;
Zanasi, F;
(2018)
Deconstructing Lawvere with distributive laws.
Journal of Logical and Algebraic Methods in Programming
, 95
pp. 128-146.
10.1016/j.jlamp.2017.12.002.
|
|
Bonet-Carne, E;
Daducci, A;
Johnston, E;
Jacobs, J;
Freeman, A;
Atkinson, D;
Hawkes, D;
... panagiotaki, E; + view all
(2018)
VERDICT prostate parameter estimation with AMICO.
In: Kaden, E and Grussu, F and Ning, L and Tax, CMW and Veraart, J, (eds.)
Computational Diffusion MRI.
(pp. pp. 229-241).
Springer: Cham, Switzerland.
|
|
Bonet-Carne, E;
Tariq, M;
Pye, H;
Appayya, MB;
Haider, A;
Bayley, C;
Jacobs, J;
... Panagiotaki, E; + view all
(2018)
Histological Validation of in-vivo VERDICT MRI for Prostate using 3D Personalised Moulds.
In:
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018.
International Society for Magnetic Resonance in Medicine (ISMRM)
(In press).
|
|
Bootle, J;
Groth, J;
(2018)
Efficient Batch Zero-Knowledge Arguments for Low Degree Polynomials.
In:
PKC 2018: Public-Key Cryptography – PKC 2018.
(pp. pp. 561-588).
Springer Verlag
|
|
|
Borghini, G;
Candini, M;
Filannino, C;
Hussain, M;
Walsh, V;
Romei, V;
Zokaei, N;
(2018)
Alpha oscillations are causally linked to inhibitory abilities in ageing.
The Journal of Neuroscience
, 38
(18)
pp. 4418-4429.
10.1523/JNEUROSCI.1285-17.2018.
|
|
Borghini, G;
Hazan, VL;
(2018)
Listening Effort During Sentence Processing Is Increased for Non-native Listeners: A Pupillometry Study.
Frontiers in Neuroscience
, 12
, Article 152. 10.3389/fnins.2018.00152.
|
|
|
Bouazizi, K;
Rahhal, A;
Kusmia, S;
Evin, M;
Defrance, C;
Cluzel, P;
Berthet, M;
... Redheuil, A; + view all
(2018)
Differentiation and quantification of fibrosis, fat and fatty fibrosis in human left atrial myocardium using ex vivo MRI.
PLOS One
, 13
(10)
, Article e0205104. 10.1371/journal.pone.0205104.
|
|
|
Bouremoum, Sami;
(2018)
Quantifying Texture Scale in Accordance With Human Perception.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Bradbury, Gwyneth Anne;
(2018)
Interactive Generation of User-Editable Virtual Landscapes: From Image-Guided to Model-Based Approaches.
Doctoral thesis (Eng.D), UCL (University College London).
|
|
|
Bragman, FJS;
Tanno, R;
Eaton-Rosen, Z;
Li, W;
Hawkes, DJ;
Ourselin, S;
Alexander, DC;
... Cardoso, MJ; + view all
(2018)
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
In: Frangi, AF and Schnabel, JA and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention: Proceedings, Part IV.
(pp. pp. 3-11).
Springer: Cham, Switzerland.
|
|
Brandao, P;
Zisimopoulos, O;
Mazomenos, EB;
Ciuti, G;
Bernal, J;
Scarzanella, MV;
Menciassi, A;
... Stoyanov, D; + view all
(2018)
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks.
Journal of Medical Robotics Research
, 3
(2)
, Article 1840002. 10.1142/S2424905X18400020.
|
|
|
Brizmohun, M;
Johnston, E;
Latifoltojar, A;
O'Callaghan, J;
Bonet-Carne, E;
Ferizi, U;
Yvernault, B;
... Punwani, S; + view all
(2018)
The intracellular component of VERDICT (Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumors) MRI distinguishes Gleason 4 pattern better than Apparent Diffusion Coefficient.
Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, Paris Expo Porte de Versailles, Paris, France.
|
|
Broad, RJ;
Gabel, MC;
Dowell, NG;
Schwartzman, DJ;
Seth, AK;
Zhang, H;
Alexander, DC;
... Leigh, PN; + view all
(2018)
Neurite orientation and dispersion density imaging (NODDI) detects cortical and corticospinal tract degeneration in ALS.
Journal of Neurology, Neurosurgery & Psychiatry
10.1136/jnnp-2018-318830.
(In press).
|
|
|
Broekhoven-Fiene, H;
Matthews, BC;
Harvey, P;
Kirk, H;
Chen, M;
Currie, MJ;
Pattle, K;
... Zhu, M; + view all
(2018)
The JCMT Gould Belt Survey: A First Look at the Auriga-California Molecular Cloud with SCUBA-2.
Astrophysical Journal
, 852
, Article 73. 10.3847/1538-4357/aa911f.
|
|
|
Brotherston, J;
Kanovich, M;
(2018)
On the Complexity of Pointer Arithmetic in Separation Logic.
In:
Programming Languages and Systems.
(pp. pp. 329-349).
Springer: Cham, Switzerland.
|
|
|
Bruce, Bobby R.;
(2018)
The Blind Software Engineer: Improving the Non-Functional Properties of Software by Means of Genetic Improvement.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Brudy, FM;
Budiman, JK;
Houben, S;
Marquardt, N;
(2018)
Investigating Practices When Using an Overview Device in Collaborative Multi-Surface Trip-Planning.
In:
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
(pp. p. 130).
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
Brudy, FM;
Suwanwatcharachat, S;
Zhang, W;
Houben, S;
Marquardt, N;
(2018)
EagleView: A Video Analysis Tool for Visualising and Querying Spatial Interactions of People and Devices.
In:
Proceedings of the ACM International Conference on Interactive Surfaces and Spaces:ACM ISS 2018.
(pp. pp. 61-72).
ACM: New York, NY, USA.
|
|
Brusaferri, L;
Bousse, A;
Efthimiou, N;
Emond, E;
Atkinson, D;
Ourselin, S;
Hutton, BF;
... Thielemans, K; + view all
(2018)
Potential benefits of incorporating energy information when estimating attenuation from PET data.
In:
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE Xplore: New York, NY, USA.
|
|
Bulgarelli, C;
Blasi, A;
Arridge, S;
Powell, S;
de Klerk, C;
Southgate, V;
Brigadoi, S;
... Hamilton, A; + view all
(2018)
Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset.
NeuroImage
, 175
pp. 413-424.
10.1016/j.neuroimage.2018.04.022.
|
|
|
Byrne, LM;
Brogueira Rodrigues, F;
Johnson, E;
Wijeratne, P;
De Vita, E;
Alexander, D;
Palermo, G;
... Wild, E; + view all
(2018)
Evaluation of mutant huntingtin and neurofilament proteins as potential markers in Huntington’s disease.
Science Translational Medicine
, 10
(458)
, Article eaat7108. 10.1126/scitranslmed.aat7108.
|
C
|
Caccioli, F;
Kondor, I;
Papp, G;
(2018)
Portfolio optimization under Expected Shortfall: contour maps of estimation error.
Quantitative Finance
, 18
(8)
pp. 1295-1313.
10.1080/14697688.2017.1390245.
|
|
Cai, H;
Chen, T;
Zhang, W;
Yu, Y;
Wang, J;
(2018)
Efficient architecture search by network transformation.
In:
(Proceedings) 32nd AAAI Conference on Artificial Intelligence, AAAI 2018.
(pp. pp. 2787-2794).
AAAI: New Orleans, LA, USA.
|
|
|
Calleja, A;
Martín, A;
Menéndez, HD;
Tapiador, J;
Clark, D;
(2018)
Picking on the family: Disrupting android malware triage by forcing misclassification.
Expert Systems with Applications
, 95
pp. 113-126.
10.1016/j.eswa.2017.11.032.
|
|
|
Camburu, OM;
Rocktäschel, T;
Lukasiewicz, T;
Blunsom, P;
(2018)
E-SNLI: Natural language inference with natural language explanations.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and Cesa-Bianchi, N and Garnett, R, (eds.)
Advances in Neural Information Processing Systems 31.
(pp. pp. 9539-9549).
NIPS Proceedings: Montréal, Canada.
|
|
Caravelli, F;
Barucca, P;
(2018)
A mean-field model of memristive circuit interaction.
EPL
, 122
(4)
, Article 40008. 10.1209/0295-5075/122/40008.
|
|
Catling, F;
Spithourakis, GP;
Riedel, S;
(2018)
Towards automated clinical coding.
International Journal of Medical Informatics
, 120
pp. 50-61.
10.1016/j.ijmedinf.2018.09.021.
|
|
Cavallo, A;
Romeo, L;
Ansuini, C;
Podda, J;
Battaglia, F;
Veneselli, E;
Pontil, M;
(2018)
Prospective motor control obeys to idiosyncratic strategies in autism.
Scientific Reports
, 8
, Article 13717. 10.1038/s41598-018-31479-2.
|
|
|
Cecchinato, Marta E.;
(2018)
Communicating in a Multi-Role, Multi- Device, Multi-Channel World: How Knowledge Workers Manage Work- Home Boundaries.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Cerulli, A;
De Cristofaro, E;
Soriente, C;
(2018)
Nothing Refreshes Like a RePSI: Reactive Private Set Intersection.
In: Preneel, B and Vercauteren, F, (eds.)
Applied Cryptography and Network Security.
(pp. pp. 280-300).
Springer: Cham, Switzerland.
|
|
Chalaguine, LA;
Hamilton, FL;
Hunter, A;
Potts, HWW;
(2018)
Argument harvesting using chatbots.
Frontiers in Artificial Intelligence and Applications
, 305
pp. 149-160.
10.3233/978-1-61499-906-5-149.
|
|
|
Chalaguine, LA;
Hunter, A;
(2018)
Chatbot Design for Argument Harvesting.
In: Modgil, Sanjay and Budzynska, Katarzyna and Lawrence, John, (eds.)
Computational Models of Argument. Proceedings of COMMA 2018.
(pp. pp. 457-458).
IOS Press: Amsterdam, Netherlands.
|
|
|
Chamberlain, BP;
Levy-Kramer, J;
Humby, C;
Deisenroth, MP;
(2018)
Real-time community detection in full social networks on a laptop.
PLoS ONE
, 13
(1)
10.1371/journal.pone.0188702.
|
|
|
Chand, M;
Ramachandran, N;
Stoyanov, D;
Lovat, L;
(2018)
Robotics, artificial intelligence and distributed ledgers in surgery: data is key!
Techniques in Coloproctology
10.1007/s10151-018-1847-5.
(In press).
|
|
Chandra, S;
Couprie, C;
Kokkinos, I;
(2018)
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation.
In:
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Proceedings.
(pp. pp. 8915-8924).
IEEE: Salt Lake City, UT, USA.
|
|
|
Chen, Z;
Heckman, C;
Julier, S;
Ahmed, N;
(2018)
Weak in the NEES?: Auto-Tuning Kalman Filters with Bayesian Optimization.
In:
Proceedings of the 21st International Conference on Information Fusion (FUSION) 2018.
(pp. pp. 1072-1079).
IEEE: Cambridge, UK.
|
|
|
Cheng, T-J;
Yang, B;
Holloway, C;
Tyler, N;
(2018)
Effect of Environmental Factors on How Older Pedestrians Detect an Upcoming Step.
Lighting Research and Technology
, 50
(3)
pp. 405-415.
10.1177/1477153516669968.
|
|
|
Chiou, E;
Giganti, F;
Bonet-Carne, E;
Punwani, S;
Kokkinos, I;
Panagiotaki, E;
(2018)
Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks.
In: Shi, Y and Suk, H-I and Liu, M, (eds.)
Machine Learning in Medical Imaging. MLMI 2018. Lecture Notes in Computer Science, vol 11046.
(pp. pp. 319-327).
Springer: Cham.
|
|
Chistikov, D;
Haase, C;
Halfon, S;
(2018)
Context-free commutative grammars with integer counters and resets.
Theoretical Computer Science
, 735
pp. 147-161.
10.1016/j.tcs.2016.06.017.
|
|
|
Cho, Y;
(2018)
Automated mental stress recognition through mobile thermal imaging.
In:
Proceedings of the 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).
(pp. pp. 596-600).
IEEE: San Antonio, TX, USA.
|
|
Cho, Y;
Berthouze, N;
Julier, S;
(2018)
DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings.
In:
Proceedings of the 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).
(pp. pp. 456-463).
IEEE: San Antonio, TX, USA.
|
|
Cho, Y;
Berthouze, N;
Julier, S;
Marquardt, N;
(2018)
ThermSense: Smartphone-based Breathing Sensing Platform using Noncontact Low-Cost Thermal Camera.
In:
Proceedings of the 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).
(pp. pp. 83-84).
IEEE: San Antonio, TX, USA.
|
|
Cho, Y;
Berthouze, N;
Marquardt, N;
Julier, S;
(2018)
Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns.
In: Mandryk, R and Hancock, M and Perry, M and Cox, A, (eds.)
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
Christensen, AP;
Kenett, YN;
Aste, T;
Silvia, PJ;
Kwapil, TR;
(2018)
Network structure of the Wisconsin Schizotypy Scales–Short Forms: Examining psychometric network filtering approaches.
Behavior Research Methods
, 50
(6)
pp. 2531-2550.
10.3758/s13428-018-1032-9.
|
|
Chudnov, A;
Collins, N;
Cook, B;
Dodds, J;
Huffman, B;
MacCárthaigh, C;
Magill, S;
... Westbrook, E; + view all
(2018)
Continuous formal verification of amazon s2n.
In: Chockler, H and Weissenbacher, G, (eds.)
Proceedings of International Conference on Computer Aided Verification CAV 2018.
(pp. pp. 430-446).
Springer: Cham.
|
|
|
Ciliberto, C;
Herbster, M;
Ialongo, AD;
Pontil, M;
Rocchetto, A;
Severini, S;
Wossnig, L;
(2018)
Quantum machine learning: a classical perspective.
Proceedings Of The Royal Society A: Mathematical, Physical and Engineering Sciences
, 474
(2209)
, Article 20170551. 10.1098/rspa.2017.0551.
|
|
|
Clack, C;
(2018)
A Blockchain Grand Challenge: Smart Financial Derivatives.
Frontiers in Blockchain
, 1
(1)
pp. 1-3.
10.3389/fbloc.2018.00001.
|
|
|
Clack, C;
(2018)
Design discussion on the ISDA Common Domain Model.
Journal of Digital Banking
, 3
(2)
pp. 165-187.
|
|
Clack, C;
(2018)
Smart Contract Templates: legal semantics and code validation.
Journal of Digital Banking
, 2
(4)
pp. 338-352.
|
|
Clack, CD;
Vanca, G;
(2018)
Temporal aspects of smart contracts for financial derivatives.
In: Margaria, T and Steffen, B, (eds.)
Leveraging Applications of Formal Methods, Verification and Validation. Industrial Practice: 8th International Symposium, ISoLA 2018, Limassol, Cyprus, November 5-9, 2018, Proceedings, Part IV.
(pp. pp. 339-355).
Springer: Cham, Switzerland.
|
|
Clancy, NT;
Gurusamy, K;
Jones, G;
Davidson, B;
Clarkson, M;
Hawkes, D;
Stoyanov, D;
(2018)
Spectral imaging of thermal damage induced during microwave ablation in the liver.
In:
(Proceedings) 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 17-21 July 2018, Honolulu, Hawaii, USA.
IEEE
(In press).
|
|
|
Cole, JH;
Caan, MWA;
Underwood, J;
De Francesco, D;
van Zoest, RA;
Wit, FWNM;
Mutsaerts, HJMM;
... COBRA collaboration, ; + view all
(2018)
No evidence for accelerated ageing-related brain pathology in treated HIV: longitudinal neuroimaging results from the Comorbidity in Relation to AIDS (COBRA) project.
Clinical Infectious Diseases
, 66
(12)
pp. 1899-1909.
10.1093/cid/cix1124.
|
|
Cole, JH;
Ritchie, SJ;
Bastin, ME;
Hernandez, MCV;
Maniega, SM;
Royle, N;
Corley, J;
... Deary, IJ; + view all
(2018)
Brain age predicts mortality.
Molecular Psychiatry
, 23
(5)
pp. 1385-1392.
10.1038/mp.2017.62.
|
|
|
Coleman, S;
Pothong, K;
Weston, S;
(2018)
Dramatizing deliberation: A method for encouraging young people to think about their rights.
Journal of Public Deliberation
, 14
(1)
, Article 2.
|
|
Congdon, BJ;
Wang, T;
Steed, A;
(2018)
Merging Environments for Shared Spaces in Mixed Reality.
In: Spencer, SN, (ed.)
VRST '18 Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology.
ACM: New York, NY, USA.
|
|
|
Conrad, J;
Chamberland, C;
Breuckmann, NP;
Terhal, BM;
(2018)
The small stellated dodecahedron code and friends.
Philosophical Transactions of The Royal Society A - Mathematical, Physical and Engineering Sciences
, 376
(2123)
, Article 20170323. 10.1098/rsta.2017.0323.
|
|
|
Constantinides, M;
Germanakos, P;
Samaras, G;
Dowell, J;
(2018)
Your Digital News Reading Habits Reflect Your Personality.
In:
(Proceedings) 26th Conference on User Modeling, Adaptation and Personalization.
(pp. pp. 45-48).
Association for Computing Machinery (ACM): New York, USA.
|
|
|
Constantinides, Marios;
(2018)
Interaction-driven User Interface Personalisation for Mobile News Systems.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Cook, B;
(2018)
Formal reasoning about the security of amazon web services.
In: Chockler, H and Weissenbacher, G, (eds.)
Proceedings of International Conference on Computer Aided Verification CAV 2018.
(pp. pp. 38-47).
Springer: Cham.
|
|
|
Cook, B;
Khazem, K;
Kroening, D;
Tasiran, S;
Tautschnig, M;
Tuttle, MR;
(2018)
Model checking boot code from AWS data centers.
In: Chockler, H and Weissenbacher, G, (eds.)
Proceedings of International Conference on Computer Aided VerificationComputer Aided Verification - CAV 2018.
(pp. pp. 467-486).
Springer: Cham.
|
|
|
Corbett, AD;
Shaw, M;
Yacoot, A;
Jefferson, A;
Schermelleh, L;
Wilson, T;
Booth, M;
(2018)
Microscope calibration using laser written fluorescence.
Optics Express
, 26
(17)
pp. 21887-21899.
10.1364/OE.26.021887.
|
|
|
Costa Molero, E;
Vissicchio, S;
Vanbever, L;
(2018)
Hardware-Accelerated Network Control Planes.
In:
HotNets '18 Proceedings of the 17th ACM Workshop on Hot Topics in Networks.
(pp. pp. 120-126).
ACM: New York, NY, USA.
|
|
Courtois, NT;
Oprisanu, M-B;
(2018)
Ciphertext-only attacks and weak long-term keys in T-310.
Cryptologia
, 42
(4)
pp. 316-336.
10.1080/01611194.2017.1362065.
|
|
|
Coy, RH;
Evans, OR;
Phillips, JB;
Shipley, RJ;
(2018)
An integrated theoretical-experimental approach to accelerate translational tissue engineering.
Journal of Tissue Engineering and Regenerative Medicine
, 12
(1)
e53-e59.
10.1002/term.2346.
|
|
Craven, GB;
Affron, DP;
Allen, CE;
Matthies, S;
Greener, JG;
Morgan, RML;
Tate, EW;
... Mann, DJ; + view all
(2018)
High-Throughput Kinetic Analysis for Target-Directed Covalent Ligand Discovery.
Angewandte Chemie - International Edition
, 57
(19)
pp. 5257-5261.
10.1002/anie.201711825.
|
|
|
Cubitt, TS;
Montanaro, A;
Piddock, S;
(2018)
Universal quantum Hamiltonians.
Proceedings of the National Academy of Sciences of the United States of America
, 115
(38)
pp. 9497-9502.
10.1073/pnas.1804949115.
|
|
|
Cubitt, TS;
Perez-Garcia, D;
Wolf, M;
(2018)
The Un(solv)able Problem.
Scientific American
, 319
(4)
pp. 29-37.
10.1038/scientificamerican1018-28.
|
D
|
D'Ettorre, C;
Dwyer, G;
Du, X;
Chadebecq, F;
Vasconcelos, F;
De Momi, E;
Stoyanov, D;
(2018)
Automated pick-up of suturing needles for robotic surgical assistance.
In: Zelinsky, A and Corke, P, (eds.)
2018 IEEE International Conference on Robotics and Automation (ICRA).
(pp. pp. 1370-1377).
IEEE
|
|
|
D'Silva, K;
Noulas, A;
Musolesi, M;
Mascolo, C;
Sklar, M;
(2018)
Predicting the temporal activity patterns of new venues.
EPJ Data Science
, 7
, Article 13. 10.1140/epjds/s13688-018-0142-z.
|
|
|
Dahlqvist, F;
Parlant, L;
Silva, A;
(2018)
Layer by Layer – Combining Monads.
In: Fischer, B and Uustalu, T, (eds.)
Theoretical Aspects of Computing – ICTAC 2018. ICTAC 2018. Lecture Notes in Computer Science.
(pp. pp. 153-172).
Springer: Cham.
|
|
Dash, SK;
Allamanis, M;
Barr, ET;
(2018)
RefiNym: using names to refine types.
In: Leavens, GT and Garcia, A and Păsăreanu, CS, (eds.)
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
(pp. pp. 107-117).
ACM
|
|
Davis, SPX;
Wisniewski, L;
Kumar, S;
Correia, T;
Arridge, SR;
Frankel, P;
McGinty, J;
(2018)
Slice-illuminated optical projection tomography.
Optics Letters
, 43
(22)
pp. 5555-5558.
10.1364/OL.43.005555.
|
|
|
De Bona, G;
Grant, J;
Hunter, A;
Konieczny, S;
(2018)
Towards a Unified Framework for Syntactic Inconsistency Measures.
In:
Proceedings of the 32nd AAAI Conference on Artificial Intelligence.
(pp. pp. 1803-1810).
Association for the Advancement of Artificial Intelligence (AAAI): New Orleans, LA, USA.
|
|
De Ceuster, F;
Yates, J;
Boyle, P;
Decin, L;
Hetherington, J;
(2018)
MAGRITTE: a new multidimensional accelerated general-purpose radiative transfer code.
Proceedings of the International Astronomical Union
, 14
(S343)
pp. 381-382.
10.1017/S1743921318005392.
|
|
De Francesco, D;
Wit, FW;
Cole, JH;
Kootstra, NA;
Winston, A;
Sabin, CA;
Underwood, J;
... COmorBidity in Relation to AIDS (COBRA) collaboration, ; + view all
(2018)
The 'COmorBidity in Relation to AIDS' (COBRA) cohort: Design, methods and participant characteristics.
PLoS One
, 13
(3)
, Article e0191791. 10.1371/journal.pone.0191791.
|
|
|
Deans, C;
Griffin, LD;
Marmugi, L;
Renzoni, F;
(2018)
Machine Learning Based Localization and Classification with Atomic Magnetometers.
Physical Review Letters
, 120
(3)
, Article 033204. 10.1103/PhysRevLett.120.033204.
|
|
|
Dee, Ryan Joseph;
(2018)
The examination of a biodegradable nanocomposite polymer and decellularised blood vessels as scaffold materials for tissue engineered vascular grafts in the paediatric patient.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Delpiano, J;
Pizarro, L;
Peddie, CJ;
Jones, ML;
Griffin, LD;
Collinson, LM;
(2018)
Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy.
Journal of Microscopy
, 271
(1)
pp. 109-119.
10.1111/jmi.12700.
|
|
|
Demjaha, A;
Spring, J;
Becker, IF;
Parkin, S;
Sasse, MA;
(2018)
Metaphors considered harmful? An exploratory study of the effectiveness of functional metaphors for end-to-end encryption.
[Dataset].
UCL Jill Dando Institute of Security and Crime Science: London, UK.
|
 |
|
Demjaha, A;
Spring, JM;
Becker, I;
Parkin, S;
Sasse, MA;
(2018)
Metaphors considered harmful? An exploratory study of the effectiveness of functional metaphors for end-to-end encryption.
In: Acar, Y and Patil, S, (eds.)
Proceedings of the NDSS Symposium 2018.
Internet Society: San Diego, CA, USA.
|
|
Denevi, G;
Ciliberto, C;
Stamos, D;
Pontil, M;
(2018)
Learning To Learn Around A Common Mean.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.)
Advances in Neural Information Processing Systems 31.
NIPS Proceedings: Montréal, Canada.
|
|
|
Denevi, G;
Ciliberto, C;
Stamos, D;
Pontil, M;
(2018)
Incremental learning-to-learn with statistical guarantees.
In: Globerson, Amir and Silva, Ricardo, (eds.)
Proceedings of the Thirty-Fourth Conference (2018), Uncertainty in Artificial Intelligence.
(pp. pp. 457-466).
AUAI: California, USA.
|
|
Dettmers, T;
Minervini, P;
Stenetorp, P;
Riedel, S;
(2018)
Convolutional 2D knowledge graph embeddings.
In: Zilberstein, Shlomo and McIlraith, Sheila and Weinberger, Kilian, (eds.)
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18).
(pp. pp. 1811-1818).
AAI Publications: Palo Alto, CA, USA.
|
|
|
Devine, W;
Giganti, F;
Johnston, E;
Panagiotaki, E;
Punwani, S;
Alexander, D;
Atkinson, D;
(2018)
Multi-echo T2 modelling to predict PIRADS 2.0 score.
Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.
(In press).
|
|
Devine, W;
Giganti, F;
Johnston, E;
Panagiotaki, E;
Punwani, S;
Alexander, DC;
Atkinson, D;
(2018)
Two compartment fitting for Luminal Water Imaging: multi-echo T2 in Prostate Cancer.
Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.
(In press).
|
|
Devine, W;
Giganti, F;
Johnston, EW;
Sidhu, HS;
Panagiotaki, E;
Punwani, S;
Alexander, DC;
(2018)
Simplified Luminal Water Imaging for the Detection of Prostate Cancer From Multiecho T2 MR Images.
Journal of Magnetic Resonance Imaging
10.1002/jmri.26608.
(In press).
|
|
|
Dmitrenko, D;
Maggioni, E;
Obrist, M;
(2018)
I Smell Trouble: Using Multiple Scents To Convey Driving-Relevant Information.
In: D'Mello, SK and Georgiou, P and Scherer, S and Provost, EM and Soleymani, M and Worsley, M, (eds.)
ICMI '18: Proceedings of the 20th ACM International Conference on Multimodal Interaction.
(pp. pp. 234-238).
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
|
Doboš, J;
Fan, C;
Friston, S;
Wong, C;
(2018)
Screen space 3D diff: A fast and reliable method for real-time 3D differencing on the web.
In:
Proceedings of the 23rd International ACM Conference on 3D Web Technology.
(pp. p. 9).
ACM: Association for Computing Machinery: New York, NY, USA.
|
|
Docherty, S;
Pym, D;
(2018)
Intuitionistic Layered Graph Logic: Semantics and Proof Theory.
Logical Methods in Computer Science (LMCS)
, 14
(4)
, Article 11. 10.23638/LMCS-14(4:11)2018.
|
|
|
Docherty, S;
Pym, D;
(2018)
A Stone-type Duality Theorem for Separation Logic Via its Underlying Bunched Logics.
Electronic Notes in Theoretical Computer Science
, 336
pp. 101-118.
10.1016/j.entcs.2018.03.018.
|
|
|
Docherty, S;
Pym, D;
(2018)
Modular Tableaux Calculi for Separation Theories.
In: Baier, C and Dal Lago, U, (eds.)
(Proceedings) FoSSaCS 2018, 21st International Conference on Foundations of Software Science and Computation Structures, 14-20 April 2018, Thessaloniki, Greece.
Springer
|
|
|
Dolores Ayllón, M;
Ciria, R;
Cruz-Ramirez, M;
Perez-Ortiz, M;
Gómez, I;
Valente, R;
O'Grady, J;
... Briceño, J; + view all
(2018)
Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation.
Liver Transplantation
, 24
(2)
pp. 192-203.
10.1002/lt.24870.
|
|
|
Donini, M;
Oneto, L;
Ben-David, S;
Shawe-Taylor, J;
Pontil, M;
(2018)
Empirical Risk Minimization Under Fairness Constraints.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.)
Proceedings of the 32nd Conference on Neural Information Processing Systems.
Neural Information Processing Systems (NIPS): Montreal, Canada.
|
|
|
Dorta, G;
Vicente, S;
Agapito, L;
Campbell, NDF;
Simpson, I;
(2018)
Structured Uncertainty Prediction Networks.
In:
(Proceedings) 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(pp. pp. 5477-5485).
IEEE: Salt Lake City, UT, USA.
|
|
|
Dowell, J;
Constantinides, M;
(2018)
A Framework for Interaction-driven User Modeling of Mobile News Reading Behaviour.
In:
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization UMAP '18.
ACM: Singapore.
|
|
|
Du, X;
Kurmann, T;
Chang, PL;
Allan, M;
Ourselin, S;
Sznitman, R;
Kelly, J;
(2018)
Articulated Multi-Instrument 2D Pose Estimation Using Fully Convolutional Networks.
IEEE Transactions on Medical Imaging
, 37
(5)
pp. 1276-1287.
10.1109/TMI.2017.2787672.
|
|
|
Dutordoir, V;
Salimbeni, H;
Deisenroth, MP;
Hensman, J;
(2018)
Gaussian Process Conditional Density Estimation.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.)
Proceedings of the 32nd Conference on Neural Information Processing Systems (NIPS 2018).
Neural Information Processing Systems (NIPS): Montreal, QC, Canada.
|
|
|
dos Santos, RP;
Werner, C;
Finkelstein, A;
(2018)
Ecosystems Effects on Software-Consuming Organizations: an experience report on two observational studies.
In:
Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings.
(pp. Art. no 23-Art. no 23).
ACM: New York, NY, USA.
|
|
E
|
Echeverria Guzman, J;
De Cristofaro, E;
Kourtellis, N;
Leontiadis, I;
Stringhini, G;
Zhou, S;
(2018)
LOBO: Evaluation of Generalization Deficiencies in Twitter Bot Classifiers.
In:
ACSAC '18 Proceedings of the 34th Annual Computer Security Applications Conference.
(pp. pp. 137-146).
ACM
|
|
Edwards, M;
Suarez-Tangil, G;
Peersman, C;
Stringhini, G;
Rashid, A;
Whitty, M;
(2018)
The Geography of Online Dating Fraud.
In:
(Proceedings) Workshop on Technology and Consumer Protection.
IEEE: San Francisco, CA, USA.
(In press).
|
|
Endrullis, J;
Hansen, HH;
Hendriks, D;
Polonsky, A;
Silva, A;
(2018)
Coinductive foundations of infinitary rewriting and infinitary equational logic.
Logical Methods in Computer Science
, 14
(1)
10.23638/LMCS-14(1:3)2018.
|
|
|
Engin, Z;
Treleaven, P;
(2018)
Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies.
The Computer Journal
10.1093/comjnl/bxy082.
(In press).
|
|
Escovedo, T;
Koshiyama, A;
da Cruz, AA;
Vellasco, M;
(2018)
DetectA: abrupt concept drift detection in non-stationary environments.
Applied Soft Computing
, 62
pp. 119-133.
10.1016/j.asoc.2017.10.031.
|
|
|
Eshaghi, A;
Marinescu, RV;
Young, AL;
Firth, NC;
Prados Carrasco, F;
Cardoso, MJ;
Tur Gomez, C;
... MAGNIMS Study Group, .; + view all
(2018)
Progression of regional grey matter atrophy in multiple sclerosis.
Brain
, 141
(6)
pp. 1665-1677.
10.1093/brain/awy088.
|
|
Eshaghi, A;
Prados Carrasco, F;
Brownlee, W;
Altmann, DR;
Tur Gomez, C;
Cardoso, MJ;
de Angelis, F;
... Ciccarelli, O; + view all
(2018)
Deep grey matter volume loss drives disability worsening in multiple sclerosis.
Annals of Neurology
, 83
(2)
pp. 210-222.
10.1002/ana.25145.
|
|
Essmann, C;
Freeman, A;
Pawar, V;
Stoyanov, D;
(2018)
Atomic Force Stiffness Imaging: Capturing differences in mechanical properties to identify and localize areas of prostate cancer tissue.
In:
Proceedings of Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.
(pp. 105761M).
SPIE: Houston, TX, USA.
|
|
|
Essmann, CL;
Ryan, KR;
Elmr, M;
Bryon-Dodd, K;
Porter, A;
Vaughan, A;
McMullan, R;
(2018)
Activation of RHO-1 in cholinergic motor neurons competes with dopamine signalling to control locomotion.
PLoS One
, 13
(9)
, Article e0204057. 10.1371/journal.pone.0204057.
|
|
|
Evans, C;
(2018)
It’s Me or the Video: can videos substitute for lectures in the flipped classroom?
In:
Proceedings of the 2018 international conference on advanced visual interfaces (AVI 2018).
Università degli Studi di Roma "La Sapienza": Rome, Italy.
|
|
Evans, V;
Torrealdea, F;
Rega, M;
Kim, M;
Brizmohun, M;
Latifoltojar, A;
Punwani, S;
... Atkinson, D; + view all
(2018)
Chemical Exchange Saturation Transfer imaging of prostate cancer at 3T: Repeatability, and initial results of an acquisition and multi-pool analysis protocol.
Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.
(In press).
|
F
|
Fa, R;
Cozzetto, D;
Wan, C;
Jones, D;
(2018)
Predicting human protein function with multi-task deep neural networks.
PLoS ONE
, 13
(6)
, Article e0198216. 10.1371/journal.pone.0198216.
|
|
|
Fabelo, H;
Ortega, S;
Lazcano, R;
Madroñal, D;
Callicó, GM;
Juárez, E;
Salvador, R;
... Sarmiento, R; + view all
(2018)
An intraoperative visualization system using hyperspectral imaging to aid in brain tumor delineation.
Sensors
, 18
(2)
, Article 430. 10.3390/s18020430.
|
|
|
Fabelo, H;
Ortega, S;
Ravi, D;
Kiran, BR;
Sosa, C;
Bulters, D;
Callicó, GM;
... Sarmiento, R; + view all
(2018)
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.
PLoS ONE
, 13
(3)
, Article e0193721. 10.1371/journal.pone.0193721.
|
|
|
Fairbrass, A;
Firman, M;
Williams, C;
Brostow, G;
Titheridge, H;
Jones, KE;
(2018)
CityNet - Deep Learning Tools for Urban Ecoacoustic Assessment.
BioRxiv: Cold Spring Harbor, Long Island, NY, USA.
|
|
|
Faisal, T;
Courtois, N;
Serguieva, A;
(2018)
The Evolution of Embedding Metadata in Blockchain Transactions.
In:
2018 International Joint Conference on Neural Networks (IJCNN).
IEEE: Rio de Janeiro, Brazil.
|
|
|
Farina, A;
Betcke, M;
Bassi, A;
Valentini, G;
Arridge, S;
D'Andrea, C;
(2018)
Time-resolved diffuse optical tomography system based on adaptive structured light illumination and compressive sensing detection.
In: Fournier, C and Georges, MP and Popescu, G, (eds.)
Unconventional Optical Imaging.
(pp. 106770D).
Society of Photo-Optical Instrumentation Engineers (SPIE)
|
|
|
Farquhar, G;
Rocktäschel, T;
Igl, M;
Whiteson, S;
(2018)
TreeqN and ATreEC: Differentiable tree-structured models for deep reinforcement learning.
In:
Proceedings of 6th International Conference on Learning Representations (ICLR 2018).
ICLR: Vancouver, BC, Canada.
|
|
Ferreira, FS;
Rosa, MJ;
Moutoussis, M;
Dolan, R;
Shawe-Taylor, J;
Ashburner, J;
Mourao-Miranda, J;
(2018)
Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships.
In:
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).
IEEE
|
|
|
Ferrucci, F;
Salza, P;
Sarro, F;
(2018)
Using Hadoop MapReduce for parallel genetic algorithms: A comparison of the global, grid and island models.
Evolutionary Computation
, 26
(4)
pp. 535-567.
10.1162/EVCO_a_00213.
|
|
|
Fertleman, C;
Aubugeau-Williams, P;
Sher, C;
Lim, A-N;
Lumley, S;
Delacroix, S;
Pan, X;
(2018)
A Discussion of Virtual Reality As a New Tool for Training Healthcare Professionals.
Frontiers in Public Health
, 6
, Article 44. 10.3389/fpubh.2018.00044.
|
|
|
Figini, M;
Riva, M;
Graham, M;
Castelli, GM;
Fernandes, B;
Grimaldi, M;
Baselli, G;
... Bizzi, A; + view all
(2018)
Prediction of Isocitrate Dehydrogenase Genotype in Brain Gliomas with MRI: Single-Shell versus Multishell Diffusion Models.
Radiology
, 289
(3)
pp. 788-796.
10.1148/radiol.2018180054.
|
|
|
Figini, M;
Wang, X;
Lyu, T;
Su, Z;
Wang, B;
Sun, C;
Shangguan, J;
... Zhang, Z; + view all
(2018)
Diffusion Mri Biomarkers Predict the Outcome O Irreversible Electroporation in a Pancreatic Tumor Mouse Model.
American Journal of Cancer Research
, 8
(8)
pp. 1615-1623.
|
|
Firman, M;
Campbell, NDF;
Agapito, L;
Brostow, GJ;
(2018)
DiverseNet: When One Right Answer is not Enough.
In:
Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
(pp. pp. 5598-5607).
IEEE: Salt Late City, UT, USA.
|
|
|
Firth, N;
Oxtoby, N;
Primativo, S;
Brotherhood, E;
Young, A;
Yong, KXX;
Crutch, S;
(2018)
Non-Parametric Mixture Modelling and its Application to Disease Progression Modelling.
BioRxiv
|
|
|
Firth, NC;
Startin, CM;
Hithersay, R;
Hamburg, S;
Wijeratne, PA;
Mok, KY;
Hardy, J;
... Strydom, A; + view all
(2018)
Aging related cognitive changes associated with Alzheimer's disease in Down syndrome.
Annals of Clinical and Translational Neurology
, 5
(6)
pp. 741-751.
10.1002/acn3.571.
|
|
|
Flouty, E;
Zisimopoulos, O;
Stoyanov, D;
(2018)
FaceOff: Anonymizing videos in the operating rooms.
In: Stoyanov, D and Taylor, Z and Sarikaya, D and McLeod, J and González Ballester, MA and Codella, NCF and Martell, A and Maier-Hein, L and Malpani, A and Zenati, MA and De Ribaupierre, S and Xiongbiao, L and Collins, T and Reichl, T and Drechsler, K and Erdt, M and Linguraru, MG and Oyarzun Laura, C and Shekhar, R and Wesarg, S and Emre Celebi, M and Dana, K and Halpern, A, (eds.)
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis (CARE 2018, CLIP 2018, OR 2.0 2018, ISIC 2018): Proceedings.
(pp. pp. 30-38).
Springer: Cham, Switzerland.
|
|
Foerster, J;
Farquhar, G;
Al-Shedivat, M;
Rocktäschel, T;
Xing, EP;
Whiteson, S;
(2018)
DiCE: The Infinitely Differentiable Monte-Carlo Estimator.
In: Dy, Jennifer and Krause, Andreas, (eds.)
Proceedings of the 35th International Conference on Machine Learning.
Proceedings of Machine Learning Research: Stockholm Sweden.
|
|
|
Fong, B;
Zanasi, F;
(2018)
Universal Constructions for (Co)Relations: categories, monoidal categories, and props.
Logical Methods in Computer Science
, 14
(3)
10.23638/LMCS-14(3:14)2018.
|
|
|
Franceschi, L;
Frasconi, P;
Salzo, S;
Grazzi, R;
Pontil, M;
(2018)
Bilevel Programming for Hyperparameter Optimization and Meta-Learning.
In: Dy, JG and Krause, A, (eds.)
Proceedings of the 25th International Conference on Machine Learning (2018).
(pp. pp. 1563-1572).
PMLR (Proceedings of Machine Learning Research): Stockholm.
|
|
|
Friston, SJ;
Elias, G;
Swapp, D;
Marshall, A;
Steed, A;
(2018)
Profiling Distributed Virtual Environments by Tracing Causality.
In:
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).
(pp. pp. 238-245).
IEEE: Reutlingen, Germany.
|
|
|
Fu, X;
Yu, R;
Zhang, W;
Wu, J;
Shao, S;
(2018)
Delving Deep into Multiscale Pedestrian Detection via Single Scale Feature Maps.
Sensors
, 18
(4)
, Article 1063. 10.3390/s18041063.
|
|
|
Fukutomi, H;
Glasser, MF;
Zhang, H;
Autio, JA;
Coalson, TS;
Okada, T;
Togashi, K;
... Hayashi, T; + view all
(2018)
Neurite imaging reveals microstructural variations in human cerebral cortical gray matter.
Neuroimage
, 182
pp. 488-499.
10.1016/j.neuroimage.2018.02.017.
|
|
|
Furniss, D;
Lyons, I;
Franklin, B;
Mayer, A;
Chumbley, G;
Wei, L;
Cox, A;
... Blandford, A; + view all
(2018)
Procedural and documentation variations in intravenous infusion administration: a mixed methods study of policy and practice across 16 hospital trusts in England.
BMC Health Services Research
, 18
, Article 270. 10.1186/s12913-018-3025-x.
|
G
|
Garcéa-Peraza-Herrera, LC;
Everson, M;
Li, W;
Luengo, I;
Berger, L;
Ahmad, O;
Lovat, LB;
... Ourselin, S; + view all
(2018)
Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia.
arXiv
, Article 1805.00632.
(In press).
|
|
Garfield, S;
Furniss, D;
Husson, F;
Turley, M;
Franklin, BD;
(2018)
Use of patient-held information about medication (PHIMed) to support medicines optimisation: protocol for a mixed-methods descriptive study.
BMJ Open
, 8
(6)
, Article e021764. 10.1136/bmjopen-2018-021764.
|
|
|
Gaudelet, T;
Malod-Dognin, N;
Przulj, N;
(2018)
Higher-order molecular organization as a source of biological function.
Bioinformatics
, 34
(17)
i944-i953.
10.1093/bioinformatics/bty570.
|
|
Georgiadis, K;
Young, AL;
Hütel, M;
Razi, A;
Semedo, C;
Schott, J;
Ourselin, S;
... Modat, M; + view all
(2018)
Computational modelling of pathogenic protein behaviour-governing mechanisms in the brain.
In: Frangi, AF and Schnabel, JA and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, 21st International Conference: Proceedings, Part III.
(pp. pp. 532-539).
Springer: Cham, Switzerland.
|
|
Georgiou, S;
Kechagia, M;
Louridas, P;
Spinellis, D;
(2018)
What Are Your Programming Language's Energy-Delay Implications?
In:
(Proceedings) ACM/IEEE 15th International Conference on Mining Software Repositories (MSR).
(pp. pp. 303-313).
ACM
|
|
|
Georgoulis, S;
Rematas, K;
Ritschel, T;
Gavves, E;
Fritz, M;
Van Gool, L;
Tuytelaars, T;
(2018)
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 40
(8)
pp. 1932-1947.
10.1109/TPAMI.2017.2742999.
|
|
Gerasimou, S;
Kechagia, M;
Kolovos, D;
Paige, R;
Gousios, G;
(2018)
On Software Modernisation due to Library Obsolescence.
In:
(Proceedings) 2nd ACM/IEEE International Workshop on API Usage and Evolution (WAPI).
(pp. pp. 6-9).
ACM: New York, NY, USA.
|
|
|
Gibbs, J;
Clifton, S;
Sonnenberg, P;
Blandford, A;
Johnson, AM;
Estcourt, CS;
(2018)
Legislation and regulation in the era of online sexual health: how do we ensure provision of safe, high-quality care?
[Editorial comment].
Sexually Transmitted Infections
, 94
(8)
pp. 550-551.
10.1136/sextrans-2018-053679.
|
|
|
Giunchi, D;
James, S;
Steed, A;
(2018)
3D Sketching for Interactive Model Retrieval in Virtual Reality.
In:
Expressive '18: Proceedings of the Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering.
(pp. Art. 1).
Association for Computing Machinery (ACM)
|
|
|
Giunchi, D;
James, S;
Steed, A;
(2018)
Model Retrieval by 3D Sketching in Immersive Virtual Reality.
Presented at: 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Reutlingen, Germany.
|
|
|
Godard, Clément;
(2018)
Indirect 3D Reconstruction Through Appearance Prediction.
Doctoral thesis (Eng.D), UCL (University College London).
|
|
Gold, N;
Himonides, E;
(2018)
Can Software Engineering be Taught by Making (and) Music? a proposed empirical study.
In: Himonides, E and King, A and Cuadrado, F, (eds.)
Proceedings of Researching Music - Education - Technology (MET 2018).
(pp. pp. 169-172).
International Music Education (iMerc) Press: London, UK.
|
|
Gonzalez-Franco, M;
Slater, M;
Birney, ME;
Swapp, D;
Haslam, SA;
Reicher, SD;
(2018)
Participant concerns for the Learner in a Virtual Reality replication of the Milgram obedience study.
PLoS One
, 13
(12)
, Article e0209704. 10.1371/journal.pone.0209704.
|
|
|
Graham, MS;
Drobnjak, I;
Zhang, H;
(2018)
A supervised learning approach for diffusion MRI quality control with minimal training data.
Neuroimage
, 178
pp. 668-676.
10.1016/j.neuroimage.2018.05.077.
|
|
|
Graham, Mark;
(2018)
The development and application of a simulation system for diffusion-weighted MRI.
Doctoral thesis (Ph.D), UCL (university College London).
|
|
|
Grainger, MJ;
Aramyan, L;
Logatcheva, K;
Piras, S;
Righi, S;
Setti, M;
Vittuari, M;
(2018)
The use of systems models to identify food waste drivers.
Global Food Security
, 16
pp. 1-8.
10.1016/j.gfs.2017.12.005.
|
|
Grainger, MJ;
Aramyan, L;
Piras, S;
Quested, TE;
Righi, S;
Setti, M;
Vittuari, M;
(2018)
Model selection and averaging in the assessment of the drivers of household food waste to reduce the probability of false positives.
PLoS One
, 13
(2)
, Article e0192075. 10.1371/journal.pone.0192075.
|
|
|
Granados, A;
Mancini, M;
Vos, SB;
Lucena, O;
Vakharia, V;
Rodionov, R;
Miserocchi, A;
... Ourselin, S; + view all
(2018)
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery.
In: Frangi, AF and Schnabel, JA and Davatzikos, Ch and Alberola-López, C and Fichtinger, G, (eds.)
Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention 2018.
(pp. pp. 238-246).
Springer Nature: Cham, Switzerland.
|
|
Granados, A;
Vakharia, V;
Rodionov, R;
Schweiger, M;
Vos, SB;
O'Keeffe, AG;
Li, K;
... Ourselin, S; + view all
(2018)
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.
International Journal of Computer Assisted Radiology and Surgery
, 13
(6)
pp. 935-946.
10.1007/s11548-018-1740-8.
|
|
|
Grant, E;
Benedetti, M;
Cao, S;
Hallam, A;
Lockhart, J;
Stojevic, V;
Green, AG;
(2018)
Hierarchical quantum classifiers.
npj Quantum Information
, 4
, Article 65. 10.1038/s41534-018-0116-9.
|
|
|
Green, HK;
Edeghere, O;
Elliot, AJ;
Cox, IJ;
Morbey, R;
Pebody, R;
Bone, A;
... Smith, GE; + view all
(2018)
Google search patterns monitoring the daily health impact of heatwaves in England: How do the findings compare to established syndromic surveillance systems from 2013 to 2017?
Environmental Research
, 166
pp. 707-712.
10.1016/j.envres.2018.04.002.
|
|
Greener, JG;
Moffat, L;
Jones, DT;
(2018)
Design of metalloproteins and novel protein folds using variational autoencoders.
Scientific Reports
, 8
, Article 16189. 10.1038/s41598-018-34533-1.
|
|
|
Greener, JG;
Sternberg, MJE;
(2018)
Structure-based prediction of protein allostery.
Current Opinion in Structural Biology
, 50
pp. 1-8.
10.1016/j.sbi.2017.10.002.
|
|
|
Greifeneder, E;
Pontis, S;
Blandford, AE;
Attalla, H;
Neal, D;
Schlebbe, K;
(2018)
Researchers' attitudes towards the use of social networking sites.
Journal of Documentation
, 74
(1)
pp. 119-136.
10.1108/JD-04-2017-0051.
|
|
Griber, YA;
Mylonas, D;
Paramei, GV;
(2018)
Objects as culture-specific referents of color terms in Russian.
Color Research and Application
, 43
(6)
10.1002/col.22280.
|
|
|
Grigat, Daniel;
(2018)
On the Impact of Network Topology on Systemic Risk: Network Reconstruction, Stress Testing and Control.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Groen, D;
Richardson, RA;
Coy, R;
Schiller, UD;
Chandrashekar, H;
Robertson, F;
Coveney, PV;
(2018)
Validation of Patient-Specific Cerebral Blood Flow Simulation Using Transcranial Doppler Measurements.
Frontiers in Physiology
, 9
, Article 721. 10.3389/fphys.2018.00721.
|
|
|
Groth, J;
Kohlweiss, M;
Maller, M;
Meiklejohn, S;
Miers, I;
(2018)
Updatable and universal common reference strings with applications to zk-SNARKs.
In: Shacham, H and Boldyreva, A, (eds.)
Advances in Cryptology – CRYPTO 2018. CRYPTO 2018. Lecture Notes in Computer Science, vol 10993.
(pp. pp. 698-728).
Springer: Cham.
|
|
Gruijthuijsen, C;
Colchester, R;
Devreker, A;
Javaux, A;
Maneas, E;
Noimark, S;
Xia, W;
... Poorten, EV; + view all
(2018)
Haptic Guidance Based on All-Optical Ultrasound Distance Sensing for Safer Minimally Invasive Fetal Surgery.
Journal of Medical Robotics Research
10.1142/S2424905X18410015.
|
|
|
Grussu, F;
Ianus, A;
Tur Gomez, C;
Prados Carrasco, F;
Schneider, T;
Kaden, E;
Ourselin, S;
... Wheeler-Kingshott, C; + view all
(2018)
Relevance of time-dependence for clinically viable diffusion imaging of the spinal cord.
Magnetic Resonance in Medicine
10.1002/mrm.27463.
|
|
|
Guedj, B;
Desikan, BS;
(2018)
Pycobra: A python toolbox for ensemble learning and visualisation.
Journal of Machine Learning Research
, 18
(190)
pp. 1-5.
|
|
|
Guedj, B;
Robbiano, S;
(2018)
PAC-Bayesian high dimensional bipartite ranking.
Journal of Statistical Planning and Inference
, 196
pp. 70-86.
10.1016/j.jspi.2017.10.010.
|
|
|
Guerreri, M;
Szczepankiewicz, F;
Lampinen, B;
Nilsson, M;
Palombo, M;
Capuani, S;
Zhang, H;
(2018)
Revised NODDI model for diffusion MRI data with multiple b-tensor encodings.
In:
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB.
International Society for Magnetic Resonance in Medicine
|
|
Guerrero, P;
Kleiman, Y;
Ovsjanikov, M;
Mitra, NJ;
(2018)
PCPNet Learning Local Shape Properties from Raw Point Clouds.
Computer Graphics Forum
, 37
(2)
pp. 75-85.
10.1111/cgf.13343.
|
|
Guizzo, G;
Vergilio, SR;
(2018)
A pattern-driven solution for designing multi-objective evolutionary algorithms.
Natural Computing
10.1007/s11047-018-9677-y.
(In press).
|
|
Guo, J;
Lu, S;
Cai, H;
Zhang, W;
Yu, Y;
Wang, J;
(2018)
Long text generation via adversarial training with leaked information.
In:
(Proceedings) 32nd AAAI Conference on Artificial Intelligence, AAAI 2018.
(pp. pp. 5141-5148).
AAAI: New Orleans, LA, USA.
|
|
|
Gvozdiev, N;
Vissicchio, S;
Karp, BN;
Handley, M;
(2018)
On low-latency-capable topologies, and their impact on the design of intra-domain routing.
In: Gorinsky, S and Tapolcai, J, (eds.)
SIGCOMM '18: Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication.
(pp. pp. 88-102).
Association for Computing Machinery
|
|
|
Güler, RA;
Neverova, N;
Kokkinos, I;
(2018)
DensePose: Dense Human Pose Estimation in the Wild.
In:
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Proceedings.
(pp. pp. 7297-7306).
IEEE: Salt Lake City, UT, USA.
|
|
H
|
Hadoux, E;
Hunter, A;
(2018)
Learning and Updating User Models for Subpopulations in Persuasive Argumentation Using Beta Distribution.
In: Andre, E and Koenig, S and Dastani, M and Sukthankar, G, (eds.)
AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems.
(pp. pp. 1141-1149).
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
Hadoux, E;
Hunter, A;
Corrégé, J-B;
(2018)
Strategic Dialogical Argumentation using Multi-Criteria Decision Making with Application to Epistemic and Emotional Aspects of Arguments.
In: Ferrarotti, F and Woltran, S, (eds.)
Foundations of Information and Knowledge Systems.
(pp. pp. 207-224).
Springer: Cham, Switzerland.
|
|
Hadoux, E;
Hunter, A;
Polberg, S;
(2018)
Biparty Decision Theory for Dialogical Argumentation.
In: Modgil, Sanjay and Budzynska, Katarzyna and Lawrence, John, (eds.)
Computational Models of Argument. Proceedings of COMMA 2018.
(pp. pp. 233-240).
IOS Press: Amsterdam, Netherlands.
|
|
|
Hallam, A;
Grant, E;
Stojevic, V;
Severini, S;
Green, AG;
(2018)
Compact neural networks based on the multiscale entanglement renormalization Ansatz.
In:
British Machine Vision Conference 2018, BMVC 2018.
BMVC: Newcastle-upon-Tyne, UK.
|
|
|
Hamilton, SJ;
Hauptmann, A;
(2018)
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks.
IEEE Transactions on Medical Imaging
, 37
(10)
pp. 2367-2377.
10.1109/TMI.2018.2828303.
|
|
Hamilton-Giachritsis, C;
Banakou, D;
Garcia Quiroga, M;
Giachritsis, C;
Slater, M;
(2018)
Reducing risk and improving maternal perspective-taking and empathy using virtual embodiment.
Scientific Reports
, 8
, Article 2975. 10.1038/s41598-018-21036-2.
|
|
|
Handley, MJ;
(2018)
Delay is Not an Option: Low Latency Routing in Space.
In:
HotNets '18 Proceedings of the 17th ACM Workshop on Hot Topics in Networks.
(pp. pp. 85-91).
ACM: New York, NY, USA.
|
|
|
Hansen, ND;
Cox, IJ;
Mølbak, K;
Lioma, C;
(2018)
Predicting antimicrobial drug consumption using web search data.
In: Kostkova, P and Grasso, F and Castillo, C and Mejova, Y and Bosman, A and Edelstein, M, (eds.)
DH '18: Proceedings of the 2018 International Conference on Digital Health.
(pp. pp. 133-142).
Association for Computing Machinery (ACM): New York, USA.
|
|
|
Harman, M;
(2018)
We Need a Testability Transformation Semantics.
In: Johnsen, EB and Schaefer, I, (eds.)
Software Engineering and Formal Methods.
(pp. pp. 3-17).
Springer: Cham, Switzerland.
|
|
Harman, M;
O'Hearn, P;
(2018)
From start-ups to scale-ups: Opportunities and open problems for static and dynamic program analysis.
In:
2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM).
(pp. pp. 1-23).
IEEE
|
|
|
Harrison, IF;
Siow, B;
Akilo, AB;
Evans, PG;
Ismail, O;
Ohene, Y;
Nahavandi, P;
... Wells, JA; + view all
(2018)
Non-invasive imaging of CSF-mediated brain clearance pathways via assessment of perivascular fluid movement with DTI MRI.
eLife
, 7
, Article e34028. 10.7554/eLife.34028.
|
|
Hauptmann, A;
Arridge, SR;
Lucka, F;
Muthurangu, V;
Steeden, JA;
(2018)
Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease.
Magnetic Resonance in Medicine
10.1002/mrm.27480.
(In press).
|
|
|
Hauptmann, A;
Cox, B;
Lucka, F;
Huynh, N;
Betcke, M;
Beard, P;
Arridge, S;
(2018)
Approximate k-space models and deep learning for fast photoacoustic reconstruction.
In:
MLMIR 2018: Machine Learning for Medical Image Reconstruction.
(pp. pp. 103-111).
Springer: Cham, Switzerland.
|
|
Hauptmann, A;
Lucka, F;
Betcke, M;
Huynh, N;
Adler, J;
Cox, B;
Beard, P;
... Arridge, S; + view all
(2018)
Model based learning for accelerated, limited-view 3D photoacoustic tomography.
IEEE Transactions on Medical Imaging
, 37
(6)
pp. 1382-1393.
10.1109/TMI.2018.2820382.
|
|
Hayes, J;
Danezis, G;
(2018)
Learning Universal Adversarial Perturbations with Generative Models.
In:
Proceedings of the Security and Privacy Workshops (SPW) 2018 IEEE.
(pp. pp. 43-49).
IEEE: San Francisco (CA), USA.
|
|
|
Hedman, P;
Philip, J;
Price, T;
Frahm, J-M;
Drettakis, G;
Brostow, G;
(2018)
Deep Blending for Free-Viewpoint Image-Based Rendering.
ACM Transactions on Graphics
, 37
, Article 6. 10.1145/3272127.3275084.
|
|
|
Hellendoorn, VJ;
Bird, C;
Barr, ET;
Allamanis, M;
(2018)
Deep learning type inference.
In: Leavens, GT and Garcia, A and Păsăreanu, CS, (eds.)
ESEC/FSE 2018: Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
(pp. pp. 152-162).
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
|
Hennessey, James W.;
(2018)
Assistive visual content creation tools via multimodal correlation analysis.
Doctoral thesis (Eng.D), UCL (University College London).
|
|
|
Henzler, P;
Rasche, V;
Ropinski, T;
Ritschel, T;
(2018)
Single‐image Tomography: 3D Volumes from 2D Cranial X‐Rays.
Computer Graphics Forum
, 37
(2)
pp. 377-388.
10.1111/cgf.13369.
|
|
|
Hermosilla, P;
Ritschel, T;
Vázquez, P-P;
Vinacua, A;
Ropinski, T;
(2018)
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds.
ACM Transactions on Graphics
, 37
(6)
, Article 235. 10.1145/3272127.3275110.
|
|
|
Herrera, RR;
Heravi, BM;
Barbareschi, G;
Carlson, T;
Holloway, C;
(2018)
Towards a Wearable Wheelchair Monitor: Classification of push style based on inertial sensors at multiple upper limb locations.
In:
(Proceedings) IEEE International Conference on Systems, Man, and Cybernetics (SMC).
(pp. pp. 1535-1540).
IEEE
|
|
|
Hill, I;
Palombo, M;
Santin, MD;
Branzoli, F;
Philippe, A-C;
Wassermann, D;
Aigrot, M-S;
... Drobnjak, I; + view all
(2018)
Deep neural network based framework for in-vivo axonal permeability estimation.
In: Miller, KL and Port, JD, (eds.)
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018.
ISMRM (International Society for Magnetic Resonance in Medicine): Concord, CA, USA.
|
|
Hirsch, R;
(2018)
Decidability of equational theories for subsignatures of relation algebra.
In:
Relational and Algebraic Methods in Computer Science. RAMiCS 2018. Lecture Notes in Computer Science, vol 11194.
(pp. pp. 87-96).
Springer: Cham.
|
|
Hirsch, R;
McLean, B;
(2018)
The temporal logic of two-dimensional Minkowski spacetime with slower-than-light accessibility is decidable.
In: Bezhanishvili, G and D'Agostino, G and Metcalfe, G and Studer, T, (eds.)
Advances in Modal Logic, Volume 12.
(pp. pp. 347-366).
AiML: Bern, Switzerland.
|
|
Hirsch, R;
Reynolds, M;
(2018)
The temporal logic of two dimensional Minkowski spacetime is decidable.
Journal of Symbolic Logic
, 83
(3)
pp. 829-867.
10.1017/jsl.2017.79.
|
|
Hodgson, Julian;
(2018)
Editing Fluid Simulations with Jet Particles.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Holdship, J;
Jeffrey, N;
Makrymallis, A;
Viti, S;
Yates, J;
(2018)
Bayesian Inference of the Rates of Surface Reactions in Icy Mantles.
Astrophysical Journal
, 866
(2)
10.3847/1538-4357/aae1fa.
|
|
|
Hong, Y;
MacQuarrie, A;
Steed, A;
(2018)
The Effect of Chair Type on Users’ Viewing Experience for 360-degree Video.
In: Spencer, Stephen N and Itoh, Yuichi and Shiratori, Takaaki and Yue, Yonghao and Lindeman, Rob, (eds.)
Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology (VRST '18).
ACM: New York, NY, USA.
|
|
|
Hortensius, R;
Neyret, S;
Slater, M;
de Gelder, B;
(2018)
The relation between bystanders' behavioral reactivity to distress and later helping behavior during a violent conflict in virtual reality.
PLoS One
, 13
(4)
, Article e0196074. 10.1371/journal.pone.0196074.
|
 |
|
Huber, F;
Severini, S;
(2018)
Some Ulam's reconstruction problems for quantum states.
Journal of Physics A: Mathematical and Theoretical
, 51
(43)
10.1088/1751-8121/aadd1e.
|
|
Hueting, M;
Reddy, P;
Kim, V;
Yumer, E;
Carr, N;
Mitra, NJ;
(2018)
SEETHROUGH: Finding Objects in Heavily Occluded Indoor Scene Images.
In:
(Proceedings) 6th International Conference on 3D Vision (3DV).
(pp. pp. 267-276).
IEEE: Verona, Italy.
|
|
|
Hueting, Moos;
(2018)
Cross-dimensional Analysis for Improved Scene Understanding.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Hughes, E;
Leibo, JZ;
Phillips, M;
Tuyls, K;
Duenez-Guzman, E;
Castaneda, AG;
Dunning, I;
... Graepel, T; + view all
(2018)
Inequity aversion improves cooperation in intertemporal social dilemmas.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.)
Advances in Neural Information Processing Systems 31 (NIPS 2018).
(pp. pp. 1-11).
Neural Information Processing Systems Foundation, Inc.
|
|
Hunter, A;
(2018)
Towards a framework for computational persuasion with applications in behaviour change.
Argument and Computation
, 9
(1)
pp. 15-40.
10.3233/AAC-170032.
|
|
|
Hunter, A;
(2018)
Invited talk: Computational persuasion with applications in behaviour change.
Presented at: JSAI-isAI Workshops 2017: JSAI International Symposium on Artificial Intelligence, Tsukuba, Tokyo.
|
|
Hunter, A;
Polberg, S;
Potyka, N;
(2018)
Updating Belief in Arguments in Epistemic Graphs.
In:
Proceedings of the Sixteenth International Conference on Principles of Knowledge Representation and Reasoning (KR 2018).
(pp. pp. 138-147).
Association for the Advancement of Artificial Intelligence: Tempe, AZ, USA.
|
|
|
Hutter, J;
Christiaens, DJ;
Schneider, T;
Cordero-Grande, L;
Slator, P;
Deprez, M;
Price, AN;
... Hajnal, JV; + view all
(2018)
Slice-level diffusion encoding for motion and distortion correction.
Medical Image Analysis
, 48
pp. 214-229.
10.1016/j.media.2018.06.008.
|
 |
|
Hutter, J;
Slator, P;
Christiaens, D;
Teixeira, RPAG;
Roberts, T;
Jackson, L;
Price, AN;
... Hajnal, JV; + view all
(2018)
Integrated and Efficient Diffusion-relaxometry Using ZEBRA.
Scientific Reports
, 8
, Article 15138. 10.1038/s41598-018-33463-2.
|
|
|
Hänninen, N;
Pulkkinen, A;
Tarvainen, T;
(2018)
Image Reconstruction with Reliability Assessment in Quantitative Photoacoustic Tomography.
Journal of Imaging
, 4
(12)
, Article 148. 10.3390/jimaging4120148.
|
|
I
|
Ianuş, A;
Jespersen, SN;
Duarte, TS;
Alexander, DC;
Drobnjak, I;
Shemesh, N;
(2018)
Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain.
NeuroImage
, 183
pp. 934-949.
10.1016/j.neuroimage.2018.08.034.
(In press).
|
|
Ibosiola, D;
Steer, B;
Garcia-Recuero, A;
Stringhini, G;
Uhlig, S;
Tyson, G;
(2018)
Movie Pirates of the Caribbean: Exploring Illegal Streaming Cyberlockers.
In:
Proceedings of the Twelfth International Conference on Web And Social Media.
(pp. pp. 131-140).
Association for the Advancement of Artificial Intelligence (AAAI): Stanford, CA, USA.
|
|
Ilisescu, Corneliu;
(2018)
Analysis and Synthesis of Interactive Video Sprites.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Innamorati, C;
Ritschel, T;
Weyrich, T;
Mitra, N;
(2018)
Learning on the Edge: Explicit Boundary Handling in CNNs.
Proceedings of the British Machine Vision Conference (BMVC)
|
|
|
Innes, M;
Karpinski, S;
Shah, V;
Barber, D;
Saito Stenetorp, PLEPS;
Besard, T;
Bradbury, J;
... Yuret, D; + view all
(2018)
On Machine Learning and Programming Languages.
In:
(Proceedings) SysML 2018.
Association for Computing Machinery (ACM)
(In press).
|
|
|
Intharah, T;
Brostow, GJ;
(2018)
Deeplogger: Extracting user input logs from 2D gameplay videos.
In:
Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play.
(pp. pp. 221-230).
ACM: New York, NY, USA.
|
|
|
Intharah, T;
Firman, M;
Brostow, GJ;
(2018)
RecurBot: Learn to auto-complete GUI tasks from human demonstrations.
In:
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems.
(pp. LBW595-LBW595).
ACM: New York, NY, USA.
|
|
|
Intharah, Thanapong;
(2018)
Learn to automate GUI tasks from demonstration.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Ioannou, A;
Blackburn, J;
Stringhini, G;
De Cristofaro, E;
Kourtellis, N;
Sirivianos, M;
(2018)
From risk factors to detection and intervention: a practical proposal for future work on cyberbullying.
Behaviour and Information Technology
, 37
(3)
pp. 258-266.
10.1080/0144929X.2018.1432688.
|
|
Ivan Sanchez Carmona, V;
Mitchell, J;
Riedel, S;
(2018)
Behavior analysis of NLI models: Uncovering the influence of three factors on robustness.
In: Walker, M and Ji, H and Stent, A, (eds.)
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers).
(pp. pp. 1975-1985).
Association for Computational Linguistics (ACL): New Orleans, LA, USA.
|
|
J
|
Jaccard, N;
Rogers, TW;
Morton, EJ;
Griffin, LD;
(2018)
Automated detection of smuggled high-risk security threats using Deep Learning.
In:
Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016).
IEEE: Madrid, Spain.
|
|
|
Jahangirova, G;
Clark, D;
Harman, M;
Tonella, P;
(2018)
OASIs: Oracle assessment and improvement tool.
In:
Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis.
(pp. pp. 368-371).
ACM: New York, NY, USA.
|
|
|
Janatka, MP;
Sridhar, A;
Kelly, J;
Stoyanov, D;
(2018)
Higher Order of Motion Magnification for Vessel Identification in Surgical Video.
In:
Proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention:MICCAI 2018.
(pp. pp. 307-314).
Springer, Cham: Granada, Spain.
|
|
|
Janssen, RJ;
Mourão-Miranda, J;
Schnack, HG;
(2018)
Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning.
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
, 3
(9)
pp. 798-808.
10.1016/j.bpsc.2018.04.004.
|
|
Janz, D;
Van Der Westhuizen, J;
Paige, B;
Kusner, MJ;
Hernández-Lobato, JM;
(2018)
Learning a generative model for validity in complex discrete structures.
In:
Proceedings of the Sixth International Conference on Learning Representations (ICLR 2018).
International Conference on Learning Representations (ICLR): Vancouver, Canada.
|
|
Javaux, A;
Bouget, D;
Gruijthuijsen, C;
Stoyanov, D;
Vercauteren, T;
Ourselin, S;
Deprest, J;
... Vander Poorten, E; + view all
(2018)
A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery.
International Journal of Computer Assisted Radiology and Surgery
10.1007/s11548-018-1822-7.
|
|
|
Javer, A;
Brown, AEX;
Kokkinos, I;
Rittscher, J;
(2018)
Identification of C. elegans strains using a fully convolutional neural network on behavioural dynamics.
In: Leal-Taixé, L and Roth, S, (eds.)
Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018, Proceedings, Part VI.
(pp. pp. 455-464).
Springer Nature: Cham, Switzerland.
|
|
Javornik, A;
Kostopoulou, E;
Rogers, Y;
Fatah gen Schieck, A;
Koutsolampros, P;
Moutinho, AM;
Julier, S;
(2018)
An experimental study on the role of augmented reality content type in an outdoor site exploration.
Behaviour and Information Technology
, 38
(1)
pp. 9-27.
10.1080/0144929X.2018.1505950.
|
|
Jha, AK;
Zhu, Y;
Arridge, S;
Wong, DF;
Rahmim, A;
(2018)
Incorporating reflection boundary conditions in the Neumann series radiative transport equation: application to photon propagation and reconstruction in diffuse optical imaging.
Biomedical Optics Express
, 9
(4)
pp. 1389-1407.
10.1364/BOE.9.001389.
|
|
|
Jimenez, M;
Checkam, TT;
Cordy, M;
Papadakis, M;
Kintis, M;
Le Traon, Y;
Harman, M;
(2018)
Are mutants really natural? A study on how "naturalness" helps mutant selection.
In:
International Symposium on Empirical Software Engineering and Measurement.
(pp. pp. 1-10).
ACM: Oulu, Finland.
|
|
|
Jin, B;
Duan, B;
Lazarov, R;
Pasciak, J;
Zhou, Z;
(2018)
Space-Time Petrov–Galerkin FEM for Fractional Diffusion Problems.
Computational Methods in Applied Mathematics
, 18
(1)
pp. 1-20.
10.1515/cmam-2017-0026.
|
|
|
Jin, B;
Li, B;
Zhou, Z;
(2018)
Numerical analysis of nonlinear subdiffusion equations.
SIAM Journal on Numerical Analysis
, 56
(1)
pp. 1-23.
10.1137/16M1089320.
|
|
Jin, B;
Li, B;
Zhou, Z;
(2018)
Pointwise-in-time error estimates for an optimal control problem with subdiffusion constraint.
IMA Journal of Numerical Analysis
, 40
(1)
pp. 377-404.
10.1093/imanum/dry064.
|
|
Jin, B;
Li, B;
Zhou, Z;
(2018)
An analysis of the Crank-Nicolson method for subdiffusion.
IMA Journal of Numerical Analysis
, 38
(1)
pp. 518-541.
10.1093/imanum/drx019.
|
|
Jin, J;
Song, C;
Li, H;
Gai, K;
Wang, J;
Zhang, W;
(2018)
Real-time bidding with multi-agent reinforcement learning in display advertising.
In:
(Proceedings) CIKM 2018.
(pp. pp. 2193-2202).
ArXiv
|
|
|
Jitkrittum, W;
Sangkloy, P;
Schölkopf, B;
Kanagawa, H;
Hays, J;
Gretton, A;
(2018)
Informative features for model comparison.
In:
Advances in Neural Information Processing Systems 31 (NIPS 2018).
(pp. pp. 808-819).
Neural Information Processing Systems Foundation, Inc.: Montréal, Canada.
|
|
|
Jones, DK;
Alexander, DC;
Bowtell, R;
Cercignani, M;
Dell'Acqua, F;
McHugh, DJ;
Miller, KL;
... Tax, CMW; + view all
(2018)
Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI.
NeuroImage
, 182
pp. 8-38.
10.1016/j.neuroimage.2018.05.047.
|
|
Jones, DT;
Kandathil, SM;
(2018)
High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features.
Bioinformatics
, 34
(19)
pp. 3308-3315.
10.1093/bioinformatics/bty341.
|
|
Jung, W;
Lee, J;
Shin, H-G;
Nam, Y;
Zhang, H;
Oh, S-H;
Lee, J;
(2018)
Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI).
NeuroImage
, 182
pp. 379-388.
10.1016/j.neuroimage.2017.09.053.
|
|
K
|
Kakkar, L;
Bennett, O;
Siow, B;
Quick, T;
Richardson, S;
Kaden, E;
Atkinson, D;
... Drobnjak, I; + view all
(2018)
Low frequency oscillating gradient spin-echo sequences improve sensitivity to axon diameter: An experimental study in viable nerve tissue.
NeuroImage
, 182
pp. 314-328.
10.1016/j.neuroimage.2017.07.060.
|
|
|
Kaminski, BL;
Katoen, J-P;
Matheja, C;
Olmedo, F;
(2018)
Weakest Precondition Reasoning for Expected Runtimes of Randomized Algorithms.
Journal of the ACM (JACM)
, 65
(5)
, Article 30. 10.1145/3208102.
|
|
|
Kamthe, S;
Deisenroth, MP;
(2018)
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control.
In: Storkey, AJ and Pérez-Cruz, F, (eds.)
Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018).
(pp. pp. 1701-1710).
Proceedings of Machine Learning (PMLR): Lanzarote, Canary Islands, Spain.
|
|
|
Kanazawa, M;
Kappé, T;
(2018)
Decision problems for Clark-congruential languages.
In:
Proceedings of The 14th International Conference on Grammatical Inference.
Proceedings of Machine Learning Research
|
|
|
Kandathil, SM;
Garza-Fabre, M;
Handl, J;
Lovell, SC;
(2018)
Improved fragment-based protein structure prediction by redesign of search heuristics.
Scientific Reports
, 8
, Article 13694. 10.1038/s41598-018-31891-8.
|
|
|
Kaninsky, M;
Gallacher, S;
Rogers, Y;
(2018)
Confronting people's fears about bats: Combining multimodal and environmentally sensed data to promote curiosity and discovery.
In:
DIS '18 Proceedings of the 2018 Designing Interactive Systems Conference.
(pp. pp. 931-944).
ACM: New York, NY, USA.
|
|
|
Kappos, G;
Yousaf, H;
Maller, M;
Meiklejohn, S;
(2018)
An Empirical Analysis of Anonymity in Zcash.
CoRR
(In press).
|
|
Kappos, G;
Yousaf, H;
Maller, M;
Meiklejohn, S;
(2018)
An Empirical Analysis of Anonymity in Zcash.
In: Enck, W and Felt, AP, (eds.)
Proceedings of USENIX Security '18.
(pp. pp. 463-477).
USENIX Association: Baltimore, MD, USA.
|
|
|
Kappé, T;
Brunet, P;
Silva, A;
Zanasi, F;
(2018)
Concurrent Kleene Algebra: Free Model and Completeness.
In: Ahmed, A, (ed.)
Programming Languages and Systems.
(pp. pp. 856-882).
Springer: Thessaloniki, Greece.
|
|
|
Kavanagh, JL;
Burns, AJ;
Hilmi Hazim, S;
Wood, EP;
Martin, SA;
Hignett, S;
Dennis, DJC;
(2018)
Challenging dyke ascent models using novel laboratory experiments: Implications for reinterpreting evidence of magma ascent and volcanism.
Journal of Volcanology and Geothermal Research
, 354
pp. 87-101.
10.1016/j.jvolgeores.2018.01.002.
|
|
|
Kechagia, M;
Fragkoulis, M;
Louridas, P;
Spinellis, D;
(2018)
The exception handling riddle: An empirical study on the Android API.
Journal of Systems and Software
, 142
pp. 248-270.
10.1016/j.jss.2018.04.034.
|
|
|
Kelly, T;
Guerrero, P;
Steed, A;
Wonka, P;
Mitra, NJ;
(2018)
FrankenGAN: Guided Detail Synthesis for Building Mass Models Using Style-Synchonized GANs.
ACM Transactions on Graphics (TOG)
, 37
(6)
10.1145/3272127.3275065.
|
|
|
Kempinska, K;
Longley, P;
Shawe-Taylor, J;
(2018)
Interactional regions in cities: making sense of flows across networked systems.
International Journal of Geographical Information Science
, 32
(7)
pp. 1348-1367.
10.1080/13658816.2017.1418878.
|
|
Khazem, K;
Barr, ET;
Hosek, P;
(2018)
Making data-driven porting decisions with Tuscan.
In:
ISSTA 2018 Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis.
(pp. pp. 276-286).
ACM: New York, NY, USA.
|
|
|
Khlaaf, Heidy;
(2018)
The Past, Present, and Future(s): Verifying Temporal Software Properties.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Khoury, Pascal;
(2018)
Traditional and Swarm Intelligence Based Algorithms for Stock Selection and Risk Modelling in Emerging Markets.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Kilbertus, N;
Gascon, A;
Kusner, M;
Veale, M;
Gummadi, K;
Weller, A;
(2018)
Blind Justice: Fairness with Encrypted Sensitive Attributes.
In: Dy, J and Krause, A, (eds.)
Proceedings of the 35th International Conference on Machine Learning.
(pp. pp. 2635-2644).
International Machine Learning Society (IMLS).: Stockholm, Sweden.
|
|
|
Kintis, M;
Papadakis, M;
Jia, Y;
Malevris, N;
Le Traon, Y;
Harman, M;
(2018)
Detecting Trivial Mutant Equivalences via Compiler Optimisations.
IEEE Transactions on Software Engineering
, 44
(4)
pp. 308-333.
10.1109/TSE.2017.2684805.
|
|
Kirsch, L;
Kunze, J;
Barber, D;
(2018)
Modular Networks: Learning to Decompose Neural Computation.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and Cesa-Bianchi, N and Garnett, R, (eds.)
Advances in Neural Information Processing Systems 31 (NIPS 2018).
NIPS Proceedings: Montreal, Canada.
|
|
Kirstein, P;
(2018)
Use of templates and the handle for large-scale provision of security and IoT in the built environment.
In:
Proceedings of Living in the Internet of Things: Cybersecurity of the IoT (2018).
IEEE: New York, USA.
|
|
|
Kishore, S;
Navarro, X;
Dominguez, E;
De La Pena, N;
Slater, M;
(2018)
Beaming into the News: A System for and Case Study of Tele-Immersive Journalism.
IEEE Computer Graphics and Applications
, 38
(2)
pp. 89-101.
10.1109/MCG.2017.2801407.
|
|
Kittler, J;
Zor, C;
Kaloskampis, I;
Hicks, Y;
Wang, W;
(2018)
Error sensitivity analysis of Delta divergence - a novel measure for classifier incongruence detection.
Pattern Recognition
, 77
pp. 30-44.
10.1016/j.patcog.2017.11.031.
|
|
|
Kluth, T;
Jin, B;
Li, G;
(2018)
On the degree of ill-posedness of multi-dimensional magnetic particle imaging.
Inverse Problems
, 34
(9)
, Article 095006. 10.1088/1361-6420/aad015.
|
|
Kokoris-Kogias, E;
Jovanovic, P;
Gasser, L;
Gailly, N;
Syta, E;
Ford, B;
(2018)
OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding.
In:
Proceedings of the 2018 IEEE Symposium on Security and Privacy (SP).
(pp. pp. 583-598).
IEEE: San Francisco, CA, USA.
|
|
|
Koshiyama, A;
Firoozye, N;
Treleaven, P;
(2018)
Mid-Curve Recommendation System: A Stacking Approach Through Neural Networks.
In: Vellasco, Marley and Estevez, Pablo, (eds.)
Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN).
IEEE: Piscataway, NJ, USA.
|
|
|
Kostopoulou, E;
Javornik, A;
Koutsolampros, P;
Julier, S;
Fatah gen. Schieck, A;
(2018)
Mediated Spatial Narratives: Experiencing Archival Material and Shared Memories in Urban Space.
In:
MAB18 Proceedings of the 4th Media Architecture Biennale Conference.
(pp. pp. 118-127).
ACM: New York, NY, USA.
|
|
Kotonya, N;
Cristofaro, PD;
Cristofaro, ED;
(2018)
Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network.
In:
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
(pp. pp. 387-392).
IEEE
|
|
Koul, A;
Cavallo, A;
Cauda, F;
Costa, T;
Diano, M;
Pontil, M;
Becchio, C;
(2018)
Action Observation Areas Represent Intentions From Subtle Kinematic Features.
Cerebral Cortex
, 28
(7)
pp. 2647-2654.
10.1093/cercor/bhy098.
|
|
|
Koulaouzidis, A;
Iakovidis, DK;
Yung, DE;
Mazomenos, E;
Bianchi, F;
Karagyris, A;
Dimas, G;
... Ciuti, G; + view all
(2018)
Novel experimental and software methods for image reconstruction and localization in capsule endoscopy.
Endoscopy International Open
, 6
(2)
E205-E210.
10.1055/s-0043-121882.
|
|
|
Kozdon, K;
Bentley, P;
(2018)
Wide learning: Using an ensemble of biologically-plausible spiking neural networks for unsupervised parallel classification of spatio-temporal patterns.
In: Bonissone, PP and Fogel, D, (eds.)
2017 IEEE Symposium Series on Computational Intelligence (SSCI).
(pp. pp. 3183-3190).
IEEE
|
|
|
Kozdon, KW;
Bentley, P;
(2018)
The Evolution of Training Parameters for Spiking Neural Networks with Hebbian Learning.
In: Ikegami, T and Virgo, N and Witkowski, O and Oka, M and Suzuki, R and Iizuka, H, (eds.)
ALIFE 2018: The 2018 Conference on Artificial Life.
(pp. pp. 276-283).
MIT Press
|
|
|
Kreitmayer, S;
Rogers, Y;
Yilmaz, E;
Shawe-Taylor, J;
(2018)
Design in the Wild: Interfacing the OER learning journey.
In:
Proceedings of British HCI 2018. Belfast, UK.
(pp. p. 164).
ACM: Association for Computing Machinery: Belfast, UK.
|
|
|
Kucyi, A;
Schrouff, J;
Bickel, S;
Foster, BL;
Shine, JM;
Parvizi, J;
(2018)
Intracranial Electrophysiology Reveals Reproducible Intrinsic Functional Connectivity within Human Brain Networks.
Journal of Neuroscience
, 38
(17)
pp. 4230-4242.
10.1523/JNEUROSCI.0217-18.2018.
|
|
Kulynych, B;
Lueks, W;
Isaakidis, M;
Danezis, G;
Troncoso, C;
(2018)
ClaimChain: Improving the security and privacy of in-band key distribution for messaging.
In:
Proceeding of Workshop on Privacy in the Electronic Society 2018 (WPES'18).
(pp. pp. 86-103).
ACM: Toronto, Canada.
|
|
|
Kuzhagaliyev, T;
Clancy, NT;
Janatka, M;
Tchaka, K;
Vasconcelos, F;
Clarkson, MJ;
Gurusamy, KS;
... Stoyanov, D; + view all
(2018)
Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas.
In:
Proceedings of SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.
(pp. p. 1057613).
SPIE: Houston, Texas, United States.
|
|
L
|
Langdon, WB;
Petke, J;
(2018)
Evolving better software parameters.
In: Colanzi, T and McMinn, P, (eds.)
Search-Based Software Engineering. SSBSE 2018. Lecture Notes in Computer Science.
(pp. pp. 363-369).
Springer: Cham.
|
|
Langdon, WB;
Petke, J;
Lorenz, R;
(2018)
Evolving better RNAfold structure prediction.
In:
Genetic Programming. EuroGP 2018.
(pp. pp. 220-236).
Springer International Publishing: Cham, Switzerland.
|
|
|
Le, TP;
Donati, L;
Severini, S;
Caruso, F;
(2018)
How to suppress dark states in quantum networks and bio-engineered structures.
Journal of Physics A: Mathematical and Theoretical
, 51
(36)
, Article 365306. 10.1088/1751-8121/aad3e6.
|
|
|
Le Blond, S;
Cuevas, A;
Troncoso-Pastoriza, JR;
Jovanovic, P;
Ford, B;
Hubaux, J-P;
(2018)
On Enforcing the Digital Immunity of a Large Humanitarian Organization.
In:
Proceedings of the 2018 IEEE Symposium on Security and Privacy (SP).
(pp. pp. 424-440).
IEEE: San Francisco, CA, USA.
|
|
|
Lechelt, Z;
Rogers, Y;
Yuill, N;
Nagl, L;
Ragone, G;
Marquardt, N;
(2018)
Inclusive Computing in Special Needs Classrooms: Designing for All.
In: Mandryk, R and Hancock, M and Perry, M and Cox, A, (eds.)
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
Ledo, D;
Houben, S;
Vermeulen, J;
Marquardt, N;
Oehlberg, L;
Greenberg, S;
(2018)
Evaluation strategies for HCI Toolkit research.
In: Mandryk, R and Hancock, M and Perry, M and Cox, A, (eds.)
CHI '18, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
(pp. 36:1-36:17).
ACM: New York, USA.
|
|
|
Lee, S;
Binkley, D;
Gold, NE;
Islam, S;
Krinke, J;
Yoo, S;
(2018)
MOBS: Multi-operator Observation-Based Slicing using lexical approximation of program dependence.
In:
Proceedings of 40th International Conference on Software Engineering.
IEEE
(In press).
|
|
|
Leimkuehler, T;
Kellnhofer, P;
Ritschel, T;
Myszkowski, K;
Seidel, H-P;
(2018)
Perceptual Real-Time 2D-to-3D Conversion Using Cue Fusion.
IEEE Transactions on Visualization and Computer Graphics
, 24
(6)
pp. 2037-2050.
10.1109/TVCG.2017.2703612.
|
|
|
Leimkühler, T;
Seidel, H-P;
Ritschel, T;
(2018)
Laplacian kernel splatting for efficient depth-of-field and motion blur synthesis or reconstruction.
ACM Transactions on Graphics
, 37
(4)
, Article 55. 10.1145/3197517.3201379.
|
|
Letizia, E;
Barucca, P;
Lillo, F;
(2018)
Resolution of ranking hierarchies in directed networks.
PLoS One
, 13
(2)
, Article e0191604. 10.1371/journal.pone.0191604.
|
|
|
Levin, EA;
Morgan, RM;
Griffin, LD;
Jones, VJ;
(2018)
A Comparison of Thresholding Methods for Forensic Reconstruction Studies Using Fluorescent Powder Proxies for Trace Materials.
Journal of Forensic Sciences
10.1111/1556-4029.13938.
|
|
|
Lewis, M;
Sturdee, M;
Marquardt, N;
(2018)
Applied sketching in HCI: Hands-on course of sketching techniques.
In: Mandryk, R and Hancock, M and Perry, M and Cox, A, (eds.)
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18).
(pp. C08).
Association for Computing Machinery (ACM): New York, USA.
|
|
|
Lewis, M;
Sturdee, M;
Marquardt, N;
Hoang, T;
(2018)
SketCHI:: Hands-on special interest group on sketching in HCI.
In: Mandryk, R and Hancock, M and Perry, M and Cox, A, (eds.)
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18).
(pp. SIG09).
Association for Computing Machinery (ACM): New York, USA.
|
|
|
Li, L;
Guedj, B;
Loustau, S;
(2018)
A quasi-Bayesian perspective to online clustering.
Electronic Journal of Statistics
, 12
(2)
pp. 3071-3113.
10.1214/18-EJS1479.
|
|
|
Li, SYW;
Cox, AL;
Or, C;
Blandford, A;
(2018)
Effects of monetary reward and punishment on information checking behaviour: An eye-tracking study.
Applied Ergonomics
, 70
pp. 110-117.
10.1016/j.apergo.2018.02.014.
|
|
Li, T;
Hailes, S;
Julier, S;
Liu, M;
(2018)
UAV-based SLAM and 3D reconstruction system.
In:
(Proceedings) 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).
(pp. pp. 2496-2501).
IEEE
|
|
|
Lim, SL;
Bentley, PJ;
(2018)
Coping with Uncertainty: Modelling Personality when Collaborating on Noisy Problems.
In:
ALIFE 2018: Proceedings of the Artificial Life Conference.
(pp. pp. 566-573).
MIT Press
|
|
|
Lim, YS;
Gorse, D;
(2018)
Reinforcement learning for high-frequency market making.
In:
ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
(pp. pp. 521-526).
ESANN: Bruges, Belgium.
|
|
Lin, H;
Azuma, T;
Unlu, MB;
Takagi, S;
(2018)
Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors.
In: Frangi, A and Schnabel, J and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention – MICCAI 2018.
Springer: Cham.
|
|
|
Lin, J;
Clancy, NT;
Qi, J;
Hu, Y;
Tatla, T;
Stoyanov, D;
Maier-Hein, L;
(2018)
Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks.
Medical Image Analysis
, 48
pp. 162-176.
10.1016/j.media.2018.06.004.
|
|
Lin, M;
Shao, T;
Zheng, Y;
Mitra, N;
Zhou, K;
(2018)
Recovering Functional Mechanical Assemblies from Raw Scans.
IEEE Transactions on Visualization and Computer Graphics
, 24
(3)
pp. 1354-1367.
10.1109/TVCG.2017.2662238.
|
|
|
Liu, C;
Bengler, B;
Di Cuia, D;
Seaborn, K;
Nunes Vilaza, G;
Gallacher, S;
Capra, L;
(2018)
Pinsight: A Novel Way of Creating and Sharing Digital Content through 'Things' in the Wild.
In: Koskinen, I and Lim, YK and Cerratto-Pargman, T and Chow, K and Odom, W, (eds.)
DIS '18: Proceedings of the 2018 Designing Interactive Systems Conference.
(pp. pp. 1169-1181).
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
Liu, L;
Chen, N;
Ceylan, D;
Theobalt, C;
Wang, W;
Mitra, NJ;
(2018)
CURVEFUSION: Reconstructing Thin Structures from RGBD Sequences.
ACM Transactions on Graphics (TOG)
, 37
(6)
, Article 218. 10.1145/3272127.3275097.
|
|
|
Lockhart, J;
Guehne, O;
Severini, S;
(2018)
Entanglement properties of quantum grid states.
Physical Review A
, 97
(6)
, Article 062340. 10.1103/PhysRevA.97.062340.
|
|
|
Longatti, A;
Schindler, C;
Collinson, A;
Jenkinson, L;
Matthews, C;
Fitzpatrick, L;
Blundy, M;
... Tigue, N; + view all
(2018)
High affinity single-chain variable fragments are specific and versatile targeting motifs for extracellular vesicles.
Nanoscale
, 10
(29)
pp. 14234-14244.
10.1039/c8nr03970d.
|
|
Lopez, FA;
Barucca, P;
Fekom, M;
Coolen, ACC;
(2018)
Exactly solvable random graph ensemble with extensively many short cycles.
Journal of Physics A: Mathematical and Theoretical
, 51
(8)
, Article 085101. 10.1088/1751-8121/aaa555.
|
|
Lopez Tovar, H;
Dowell, J;
(2018)
Visual recognition of gestures in a meeting to detect when documents being talked about are missing.
In: Novais, P and Jung, JJ and Villarrubia González, G and Fernández-Caballero, A and Navarro, E and González, P and Carneiro, D and Pinto, A and Campbell, AT and Durães, D, (eds.)
Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence.
(pp. pp. 73-85).
Springer: Cham, Switzerland.
|
|
Lorenzi, M;
Altmann, A;
Gutman, B;
Wray, S;
Arber, C;
Hibar, D;
Jahanshad, N;
... Ourselin, S; + view all
(2018)
Susceptibility of brain atrophy to TRIB3 in Alzheimer’s disease: evidence from functional prioritization in imaging-genetics.
Proceedings of the National Academy of Sciences of the United States of America
, 115
(12)
pp. 3162-3167.
10.1073/pnas.1706100115.
|
|
Lucka, F;
Nam, H;
Betcke, M;
Zhang, E;
Beards, P;
Cox, B;
Arridge, S;
(2018)
Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation.
SIAM Journal on Imaging Sciences
, 11
(4)
pp. 2224-2253.
10.1137/18M1170066.
|
|
|
Lucka, F;
Proksch, T;
Brune, C;
Bissantz, N;
Burger, M;
Dette, H;
Wubbeeling, F;
(2018)
Risk estimators for choosing regularization parameters in ill-posed problems - properties and limitations.
Inverse Problems and Imaging
, 12
(5)
pp. 1121-1155.
10.3934/ipi.2018047.
|
|
Luengo, I;
Flouty, E;
Giataganas, P;
Wisanuvej, P;
Nehme, J;
Stoyanov, D;
(2018)
Surreal: Enhancing Surgical simulation Realism using style transfer.
In:
Proceedings of the British Machine Vision Conference 2018, BMVC 2018.
(pp. pp. 1-12).
BMVA: Newcastle, UK.
|
|
|
Luise, G;
Rudi, A;
Pontil, M;
Ciliberto, C;
(2018)
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.)
Advances in Neural Information Processing Systems 31 (NIPS 2018).
Neural Information Processing Systems Foundation, Inc.: Montréal, Canada.
|
|
Luo, R;
Wang, J;
Yang, Y;
Zhu, Z;
Wang, J;
(2018)
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.)
Advances In Neural Information Processing Systems 31 (Nips 2018).
Neural Information Processing Systems Foundation, Inc.: Montreal, Canada.
|
|
|
Lyons, I;
Blandford, AE;
(2018)
Safer healthcare at home: Detecting, correcting and learning from incidents involving infusion devices.
Applied Ergonomics
, 67
pp. 104-114.
10.1016/j.apergo.2017.09.010.
|
|
|
Lyons, I;
Furniss, D;
Blandford, A;
Chumbley, G;
Iacovides, I;
Wei, L;
Cox, A;
... Franklin, BD; + view all
(2018)
Errors and discrepancies in the administration of intravenous infusions: a mixed methods multihospital observational study.
BMJ Quality and Safety
10.1136/bmjqs-2017-007476.
(In press).
|
|
M
|
Mac Aodha, O;
Gibb, R;
Barlow, KE;
Browning, E;
Firman, M;
Freeman, R;
Harder, B;
... Jones, KE; + view all
(2018)
Bat Detective - Deep learning tools for bat acoustic signal detection.
PLoS Computational Biology
, 14
(3)
, Article e1005995. 10.1371/journal.pcbi.1005995.
|
|
|
MacLachlan, M;
McVeigh, J;
Cooke, M;
Ferri, D;
Holloway, C;
Austin, V;
Javadi, D;
(2018)
Intersections Between Systems Thinking and Market Shaping for Assistive Technology: The SMART (Systems-Market for Assistive and Related Technologies) Thinking Matrix.
International Journal of Environmental Research and Public Health
, 15
(12)
, Article 2627. 10.3390/ijerph15122627.
|
|
|
Macquarrie, A;
Steed, A;
(2018)
The Effect of Transition Type in Multi-View 360° Media.
IEEE Transactions on Visualization and Computer Graphics
, 24
(4)
pp. 1564-1573.
10.1109/TVCG.2018.2793561.
|
|
Macquarrie, Andrew;
(2018)
Evaluating 360° media experiences.
Doctoral thesis (Eng.D), UCL (University College London).
|
|
|
Maestre, JF;
Eikey, EV;
Warner, M;
Yarosh, S;
Pater, J;
Jacobs, M;
Marcu, G;
(2018)
Conducting Research with Stigmatized Populations: Practices, Challenges, and Lessons Learned.
In:
Proceeding of the CSCW '18: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing.
(pp. pp. 385-392).
ACM: Jersey City, NJ, USA.
|
|
|
Maier-Hein, L;
Eisenmann, M;
Reinke, A;
Onogur, S;
Stankovic, M;
Scholz, P;
Arbel, T;
... Kopp-Schneider, A; + view all
(2018)
Why rankings of biomedical image analysis competitions should be interpreted with care.
Nature Communications
, 9
, Article 5217. 10.1038/s41467-018-07619-7.
|
|
|
Malod-Dognin, N;
Petschnigg, J;
Pržulj, N;
(2018)
Precision medicine ― A promising, yet challenging road lies ahead.
Current Opinion in Systems Biology
, 7
pp. 1-7.
10.1016/j.coisb.2017.10.003.
|
|
Manber, R;
Thielemans, K;
Hutton, BF;
Wan, S;
Fraioli, F;
Barnes, A;
Ourselin, S;
... Atkinson, D; + view all
(2018)
Clinical Impact of Respiratory Motion Correction in Simultaneous PET/MR with a Joint PET/MR Predictive Motion Model.
The Journal of Nuclear Medicine
, 59
(9)
pp. 1467-1473.
10.2967/jnumed.117.191460.
|
|
Mannhardt, F;
Bovo, R;
Oliveira, MF;
Julier, S;
(2018)
A taxonomy for combining activity recognition and process discovery in industrial environments.
In:
19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I.
(pp. pp. 84-93).
Springer: Madrid, Spain.
|
|
Mariconti, E;
Suarez-Tangil, G;
Blackburn, J;
Cristofaro, ED;
Kourtellis, N;
Leontiadis, I;
Serrano, JL;
(2018)
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks.
In: Gilbert, Eric and Karahalios, Karrie, (eds.)
Proceedings of the 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW’19).
(pp. p. 207).
ACM (Association for Computing Machinery): New York, NY, USA.
|
|
| Marquardt, N; |