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Number of items: 686.
A
Aad, G;
Abbott, B;
Abbott, DC;
Abdinov, O;
Abed Abud, A;
Abeling, K;
Abhayasinghe, DK;
... Zwalinski, L; + view all
(2019)
Measurement of the inclusive isolated-photon cross section at √s = 13 TeV using fb⁻¹ of ATLAS data.
Journal of High Energy Physics
, 2019
(10)
, Article 203. 10.1007/jhep10(2019)203.
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Abtahi, P;
Gonzalez-Franco, M;
Ofek, E;
Steed, A;
(2019)
I'm a Giant: Walking in Large Virtual Environments at High Speed Gains.
In:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.
ACM (Association for Computing Machinery): New York (NY), USA.
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Adamskiy, D;
Bellotti, T;
Dzhamtyrova, R;
Kalnishkan, Y;
(2019)
Aggregating Algorithm for Prediction of Packs.
Machine Learning
10.1007/s10994-018-5769-2.
(In press).
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Adeagbo, O;
Herbst, C;
Blandford, A;
McKendry, R;
Estcourt, C;
Seeley, J;
Shahmanesh, M;
(2019)
Exploring People’s Candidacy for Mobile Health–Supported HIV Testing and Care Services in Rural KwaZulu-Natal, South Africa: Qualitative Study.
Journal of Medical Internet Research
, 21
(11)
, Article e15681. 10.2196/15681.
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Adesokan, B;
Jensen, B;
Jin, B;
Knudsen, K;
(2019)
Acousto-Electric Tomography with Total Variation Regularization.
Inverse Problems
, 35
(3)
, Article 035008. 10.1088/1361-6420/aaece5.
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Adham, Manal Tarek;
(2019)
A Decomposition-Based Ecosystem-Inspired Approach For Solving Real-World Logistics Problems.
Doctoral thesis (Ph.D), UCL (University College London).
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Agarwal, Sharad;
Oser, Pascal;
Lueders, Stefan;
(2019)
Detecting IoT Devices and How They Put Large Heterogeneous Networks at Security Risk.
Sensors
, 19
(19)
, Article 4107. 10.3390/s19194107.
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Agrawal, N;
Kusner, MJ;
Shamsabadi, AS;
Gascón, A;
(2019)
QUOTIENT: Two-party secure neural network training and prediction.
In:
Proceedings of the ACM Conference on Computer and Communications Security.
(pp. pp. 1231-1247).
ACM: New York, NY, USA.
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Agusti Juan, I;
Glass, J;
Pawar, V;
(2019)
A Balanced Scorecard for Assessing Automation in Construction.
In: Mirosław, MH and Skibniewski, J, (eds.)
Proceedings of the Creative Construction Conference 2019.
Miroslaw J. Skibniewski & Miklos Hajdu: Budapest, Hungary.
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Ahmad, OF;
Soares, AS;
Mazomenos, E;
Brandao, P;
Vega, R;
Seward, E;
Stoyanov, D;
... Lovat, LB; + view all
(2019)
Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions.
[Review].
The Lancet Gastroenterology and Hepatology
, 4
(1)
pp. 71-80.
10.1016/S2468-1253(18)30282-6.
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Ahmad, OF;
Stoyanov, D;
Lovat, LB;
(2019)
Human-machine Collaboration: Bringing Artificial Intelligence Into Colonoscopy.
Frontline Gastroenterology
, 10
(2)
pp. 198-199.
10.1136/flgastro-2018-101047.
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Akbari, M;
Cetoli, A;
Bragaglia, S;
O’Harney, AD;
Sloan, M;
Wang, J;
(2019)
Modeling user return time using inhomogeneous poisson process.
In:
ECIR 2019: Advances in Information Retrieval.
(pp. pp. 37-44).
Springer: Cologne, Germany.
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Aksman, LM;
Scelsi, MA;
Marquand, AF;
Alexander, DC;
Ourselin, S;
Altmann, A;
for ADNI, .;
(2019)
Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.
Human Brain Mapping
, 40
(13)
pp. 3982-4000.
10.1002/hbm.24682.
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Al Hajj, H;
Lamard, M;
Conze, P-H;
Roychowdhury, S;
Hu, X;
Marsalkaite, G;
Zisimopoulos, O;
... Quellec, G; + view all
(2019)
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.
Medical Image Analysis
, 52
pp. 24-41.
10.1016/j.media.2018.11.008.
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Al-Subaihin, Afnan A.;
(2019)
Software Engineering in the Age of App Stores: Feature-Based Analyses to Guide Mobile Software Engineers.
Doctoral thesis (Ph.D), UCL (University College London).
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Alavi, HS;
Churchill, EF;
Wiberg, M;
Lalanne, D;
Dalsgaard, P;
Schieck, AFG;
Rogers, Y;
(2019)
Introduction to human-building interaction (HBI): Interfacing HCI with architecture and urban design.
ACM Transactions on Computer-Human Interaction
, 26
(2)
, Article 6. 10.1145/3309714.
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Allan, M;
Shvets, A;
Kurmann, T;
Zhang, Z;
Duggal, R;
Su, Y-H;
Rieke, N;
... Azizian, M; + view all
(2019)
2017 Robotic Instrument Segmentation Challenge.
ArXiv
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Allen, LA;
Harper, RM;
Guye, M;
Kumar, R;
Ogren, JA;
Vos, SB;
Ourselin, S;
... Diehl, B; + view all
(2019)
Altered brain connectivity in sudden unexpected death in epilepsy (SUDEP) revealed using resting-state fMRI.
NeuroImage: Clinical
, 24
, Article 102060. 10.1016/j.nicl.2019.102060.
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Allen, LA;
Vos, SB;
Kumar, R;
Ogren, JA;
Harper, RK;
Winston, GP;
Balestrini, S;
... Diehl, B; + view all
(2019)
Cerebellar, limbic, and midbrain volume alterations in sudden unexpected death in epilepsy.
Epilepsia
, 60
(4)
pp. 718-729.
10.1111/epi.14689.
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Almeshari, M;
Dowell, J;
Nyhan, J;
(2019)
Using Personas to Model Museum Visitors.
In:
Proceedings of UMAP'19 Adjunct.
Association for Computing Machinery (ACM): New York, NY, USA.
(In press).
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Alshahwan, N;
Ciancone, A;
Harman, M;
Jia, Y;
Mao, K;
Marginean, A;
Mols, A;
... Zorin, I; + view all
(2019)
Some challenges for software testing research (invited talk paper).
In:
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis.
(pp. pp. 1-3).
ACM: New York, NY, USA.
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Alsubaihin, A;
Sarro, F;
Black, S;
Capra, L;
(2019)
Empirical comparison of text-based mobile apps similarity measurement techniques.
Empirical Software Engineering
10.1007/s10664-019-09726-5.
(In press).
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Alsubaihin, A;
Sarro, F;
Black, S;
Capra, L;
Harman, M;
(2019)
App Store Effects on Software Engineering Practices.
IEEE Transactions on Software Engineering
10.1109/TSE.2019.2891715.
(In press).
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Altmann, A;
Mourao-Miranda, J;
(2019)
Evidence for bias of genetic ancestry in resting state functional MRI.
In: Linguraru, Marius George and Grisan, Enrico, (eds.)
Proceedings of the IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
IEEE Xplore: New York, USA.
(In press).
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Alturki, MA;
Ban Kirigin, T;
Kanovich, M;
Nigam, V;
Scedrov, A;
Talcott, C;
(2019)
A Multiset Rewriting Model for Specifying and Verifying Timing Aspects of Security Protocols.
In: Guttman, JD and Landwehr, CE and Meseguer, J and Pavlovic, D, (eds.)
Foundations of Security, Protocols, and Equational Reasoning: Essays Dedicated to Catherine A. Meadows.
(pp. pp. 192-213).
Springer: Berlin, Heidelberg.
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Alzantot, M;
Widdicombe, A;
Julier, S;
Srivastava, M;
(2019)
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning.
In:
2019 IEEE International Conference on Smart Computing (SMARTCOMP).
(pp. pp. 81-86).
IEEE: Washington, DC, USA.
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An, G;
Blot, A;
Petke, J;
Yoo, S;
(2019)
PyGGI 2.0: Language independent genetic improvement framework.
In:
Proceedings of the 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2019.
(pp. pp. 1100-1104).
ACM: New York (NY), USA.
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Anastassacos, N;
Musolesi, M;
(2019)
Towards Decentralized Reinforcement Learning Architectures for Social Dilemmas.
In:
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems.
(pp. pp. 1776-1777).
ACM: Montreal, Canada.
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Ander, M;
Olsson, J;
Shepherd, P;
Stuart-Smith, R;
Williams, C;
(2019)
A building of unlimited height.
In: Lazaro, C and Bletzinger, KU and Onate, E, (eds.)
Proceedings of IASS Annual Symposia, IASS 2019 Barcelona Symposium: Analysis and Design.
(pp. pp. 1-8).
International Association for Shell and Spatial Structures (IASS): Barcelona, Spain.
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Anderson, R;
Barton, C;
Bohme, R;
Clayton, R;
Gañán, C;
Grasso, T;
Levi, M;
... Vasek, M; + view all
(2019)
Measuring the changing cost of cybercrime.
In:
Proceedings of the 2019 Workshop on the Economics of Information Security.
Boston College
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Antoine, A;
Malacria, S;
Marquardt, N;
Casiez, G;
(2019)
Esquisse: Using 3D models staging to facilitate the creation of vector-based trace figures.
In:
IFIP Conference on Human-Computer Interaction.
(pp. pp. 496-516).
Springer: Cham, Switzerland.
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Araujo, A;
Zhang, H;
Rübben, A;
Bentley, PJ;
(2019)
Investigating the Origins of Cancer in the Intestinal Crypt with a Gene Network Agent Based Hybrid Model.
In: Fellermann, H and Bacardit, J and Goñi-Moreno, Á and Füchslin, RM, (eds.)
ALIFE 2019: The 2019 Conference on Artificial Life.
(pp. pp. 195-202).
The MIT Press: Newcastle, UK.
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Arbel, M;
Korba, A;
Salim, A;
Gretton, A;
(2019)
Maximum Mean Discrepancy Gradient Flow.
In: Wallach, H and Larochelle, H and Beygelzimer, A and d'Alché-Buc, F and Fox, E and Garnett, R, (eds.)
Advances in Neural Information Processing Systems 32 (NIPS 2019).
NIPS Proceedingsβ: Vancouver, Canada.
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Archetti, D;
Ingala, S;
Venkatraghavan, V;
Wottschel, V;
Young, AL;
Bellio, M;
Bron, EE;
... for EuroPOND Consortium, .; + view all
(2019)
Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease.
Neuroimage Clinical
, 24
, Article 101954. 10.1016/j.nicl.2019.101954.
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Arridge, S;
Hauptmann, A;
(2019)
Networks for Nonlinear Diffusion Problems in Imaging.
Journal of Mathematical Imaging and Vision
10.1007/s10851-019-00901-3.
(In press).
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Arridge, S;
Maass, P;
Öktem, O;
Schönlieb, CB;
(2019)
Solving inverse problems using data-driven models.
Acta Numerica
, 28
pp. 1-174.
10.1017/S0962492919000059.
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Asghar, HJ;
De Cristofaro, E;
Jourjon, G;
Kaafar, MA;
Mathy, L;
Melis, L;
Russell, C;
(2019)
Fast privacy-preserving network function outsourcing.
Computer Networks
, 163
10.1016/j.comnet.2019.106893.
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Aste, T;
(2019)
Cryptocurrency market structure: connecting emotions and economics.
Digital Finance
, 1
pp. 5-21.
10.1007/s42521-019-00008-9.
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Atserias, A;
Kolaitis, PG;
Severini, S;
(2019)
Generalized satisfiability problems via operator assignments.
Journal of Computer and System Sciences
, 105
pp. 171-198.
10.1016/j.jcss.2019.05.003.
(In press).
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Atserias, A;
Mančinska, L;
Roberson, DE;
Šámal, R;
Severini, S;
Varvitsiotis, A;
(2019)
Quantum and non-signalling graph isomorphisms.
Journal of Combinatorial Theory, Series B
, 136
pp. 289-328.
10.1016/j.jctb.2018.11.002.
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Austin, V;
Holloway, C;
(2019)
Overcoming systematic global barriers to AT: a new methodology and quickstart testing through a £20m programme.
In: Bandukda, M, (ed.)
GReAT Summit Summary.
Global Disability Innovation Hub: Geneva, Switzerland.
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Azimbagirad, Mehran;
Ayres de Souza Luccas, Vivian;
C Cabrelli, Luciana;
Zeferino Pavan, Theo;
Otavio Murta Jr, Luiz;
Adilton O. Carneiro, Antonio;
(2019)
Prototype of a low-cost 3D breast ultrasound imaging system.
In:
Proceedings of the XII SYMPOSIUM ON BIOMEDICAL ENGINEERING.
Zenodo
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B
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Backes, J;
Bolignano, P;
Cook, B;
Dodge, C;
Gacek, A;
Luckow, K;
Rungta, N;
... Varming, C; + view all
(2019)
Semantic-based Automated Reasoning for AWS Access Policies using SMT.
In:
Proceedings of 2018 Formal Methods in Computer Aided Design (FMCAD).
(pp. pp. 206-214).
IEEE: Austin, TX, USA.
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Bafatakis, N;
Boecker, N;
Boon, W;
Cabello Salazar, M;
Krinke, J;
Oznacar, G;
White, R;
(2019)
Python Coding Style Compliance on Stack Overflow.
In:
Proceedings of the 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR).
(pp. pp. 210-214).
IEEE: Montreal, Canada.
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Bagnato, F;
Franco, G;
Li, H;
Kaden, E;
Ye, F;
Fan, R;
Chen, A;
... Xu, J; + view all
(2019)
Probing axons using multi-compartmental diffusion in multiple sclerosis.
Annals of Clinical and Translational Neurology
, 6
(9)
pp. 1595-1605.
10.1002/acn3.50836.
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Bailey, C;
Bourne, RM;
Siow, B;
Johnston, EW;
Brizmohun Appayya, M;
Pye, H;
Heavey, S;
... Panagiotaki, E; + view all
(2019)
VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment.
NMR in Biomedicine
, Article e4073. 10.1002/nbm.4073.
(In press).
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Balduzzi, D;
Garnelo, M;
Bachrach, Y;
Czarnecki, W;
Pérolat, J;
Jaderberg, M;
Graepel, T;
(2019)
Open-ended learning in symmetric zero-sum games.
In: Chaudhuri, K and Salakhutdinov, R, (eds.)
Proceedings of the 36th International Conference on Machine Learning.
(pp. pp. 434-443).
PMLR
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Balkir, Esma;
Naslidnyk, Masha;
Palfrey, Dave;
Mittal, Arpit;
(2019)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets.
In:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations.
(pp. pp. 3591-3596).
Association for Computational Linguistics: Hong Kong, China.
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Banarse, D;
Bachrach, Y;
Liu, S;
Lever, G;
Heess, N;
Fernando, C;
Kohli, P;
(2019)
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution.
In: Elkind, Edith and Veloso, Manuela, (eds.)
Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019).
(pp. pp. 1134-1142).
IFAAMAS (International Foundation of Autonomous Agents and MultiAgent Systems): Montreal, Canada.
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Bandukda, Maryam;
(2019)
Technology-mediated engagement of people with visual impairments with nature.
Presented at: The 21st International ACM SIGACCESS Conference on Computers and Accessibility, Pittsburgh, PA, USA.
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Bandukda, M;
Singh, A;
Berthouze, N;
Holloway, C;
(2019)
Understanding Experiences of Blind Individuals in Outdoor Nature.
In: Brewster, S and Fitzpatrick, G and Cox, A and Kostakos, V, (eds.)
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems.
Association for Computing Machinery (ACM): New York, NY, USA.
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Banerji, CRS;
Panamarova, M;
Pruller, J;
Figeac, N;
Hebaishi, H;
Fidanis, E;
Saxena, A;
... Zammit, PS; + view all
(2019)
Dynamic transcriptomic analysis reveals suppression of PGC1α/ERRα drives perturbed myogenesis in facioscapulohumeral muscular dystrophy.
Human Molecular Genetics
, 28
(8)
pp. 1244-1259.
10.1093/hmg/ddy405.
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Bano, S;
Sonnino, A;
Al-Bassam, M;
Azouvi, S;
McCorry, P;
Meiklejohn, S;
Danezis, G;
(2019)
SoK: Consensus in the Age of Blockchains.
In:
AFT '19: Proceedings of the 1st ACM Conference on Advances in Financial Technologies.
(pp. pp. 183-198).
ACM: Association for Computing Machinery: New York, NY, USA.
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Bano, S;
Vasconcelos, F;
Amo, MT;
Dwyer, G;
Gruijthuijsen, C;
Deprest, J;
Ourselin, S;
... Stoyanov, D; + view all
(2019)
Deep Sequential Mosaicking of Fetoscopic Videos.
In:
Proceedings of the MICCAI 2019: 22nd International Conference on Medical Image Computing and Computer Assisted Intervention.
(pp. pp. 311-319).
Springer: Shenzhen, China.
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Barbareschi, G;
Aranda Jan, C;
Nique, M;
Ramos Barajas, F;
Holloway, C;
(2019)
Mobile Phones as Assistive Technologies: Gaps and Opportunities.
In: MacLachlan, M and Berman-Bieler, R, (eds.)
Proceedings of the GReAT Summit 2019.
WHO: Geneva, Switzerland.
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Barbareschi, G;
Holloway, C;
(2019)
An investigation of factors affecting the performance of wheelchair transfers.
Disability and Rehabilitation: Assistive Technology
, 14
(5)
pp. 479-488.
10.1080/17483107.2018.1463402.
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Barbareschi, G;
Holloway, C;
(2019)
Understanding independent wheelchair transfers. Perspectives from stakeholders.
Disability and Rehabilitation: Assistive Technology
, 15
(5)
pp. 545-552.
10.1080/17483107.2019.1594407.
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Bardoscia, M;
Barucca, P;
Codd, AB;
Hill, J;
(2019)
Forward-looking solvency contagion.
Journal of Economic Dynamics and Control
, 108
, Article 103755. 10.1016/j.jedc.2019.103755.
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Barlocco, S;
Kupke, C;
Rot, J;
(2019)
Coalgebra Learning via Duality.
In: Bojanczyk, M and Simpson, A, (eds.)
Coalgebra Learning via Duality.
(pp. pp. 62-79).
Springer: Cham, Switzerland.
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Batz, K;
Kaminski, BL;
Katoen, J-P;
Matheja, C;
Noll, T;
(2019)
Quantitative Separation Logic - A Logic for Reasoning about Probabilistic Programs.
Proceedings of the ACM on Programming Languages
, 3
, Article 34. 10.1145/3290347.
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Bedder, RL;
Bush, D;
Banakou, D;
Peck, T;
Slater, M;
Burgess, N;
(2019)
A mechanistic account of bodily resonance and implicit bias.
Cognition
, 184
10.1016/j.cognition.2018.11.010.
(In press).
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Begone, G;
Deisenroth, MP;
Kim, JS;
Liem, S;
de Austri, RR;
Welling, M;
(2019)
Accelerating the BSM interpretation of LHC data with machine learning.
Physics of the Dark Universe
, 24
, Article 100293. 10.1016/j.dark.2019.100293.
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Beirl, D;
Rogers, Y;
Yuill, N;
(2019)
Using voice assistant skills in family life.
In:
Proceedings of the 13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019.
(pp. pp. 96-103).
International Society of the Learning Sciences, Inc.: Lyon, France.
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Benedetti, M;
Grant, E;
Wossnig, L;
Severini, S;
(2019)
Adversarial quantum circuit learning for pure state approximation.
New Journal Of Physics
, 21
, Article 043023. 10.1088/1367-2630/ab14b5.
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Benrimoh, D;
Parr, T;
Adams, RA;
Friston, K;
(2019)
Hallucinations both in and out of context: An active inference account.
PLoS One
, 14
(8)
, Article e0212379. 10.1371/journal.pone.0212379.
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Bentham, RB;
Bryson, K;
Szabadkai, G;
(2019)
Biclustering Analysis of Co-regulation Patterns in Nuclear-Encoded Mitochondrial Genes and Metabolic Pathways.
Cancer Metabolism
, 1928
pp. 469-478.
10.1007/978-1-4939-9027-6_24.
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Berman, M;
Jégou, H;
Vedaldi, A;
Kokkinos, I;
Douze, M;
(2019)
MultiGrain: a unified image embedding for classes and instances.
ArXiv: Ithaca, NY, USA.
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Bhatnagar, T;
CHO, Y;
Marquardt, N;
Holloway, C;
(2019)
Expressive haptics for enhanced usability of mobile interfaces in situations of impairments.
In:
Proceedings of the CHI'19 Workshop: Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile Interaction.
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Bianchi, F;
Masaracchia, A;
Barjuei, ES;
Menciassi, A;
Arezzo, A;
Koulaouzidis, A;
Stoyanov, D;
... Ciuti, G; + view all
(2019)
Localization strategies for robotic endoscopic capsules: a review.
[Review].
Expert Review of Medical Devices
, 16
(5)
pp. 381-403.
10.1080/17434440.2019.1608182.
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Binetti, N;
Cheng, T;
Mareschal, I;
Brumby, D;
Julier, S;
Bianchi-Berthouze, N;
(2019)
Assumptions about the positioning of virtual stimuli affect gaze direction estimates during Augmented Reality based interactions.
Scientific Reports
, 9
(1)
, Article 2566. 10.1038/s41598-019-39311-1.
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Binkley, D;
Gold, NE;
Islam, S;
Krinke, J;
Yoo, S;
(2019)
A comparison of tree- and line-oriented observational slicing.
Empirical Software Engineering
, 24
(5)
pp. 3077-3113.
10.1007/s10664-018-9675-9.
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Biondi, Y;
Righi, S;
(2019)
Inequality, mobility and the financial accumulation process: a computational economic analysis.
Journal of Economic Interaction and Coordination
, 14
(1)
pp. 93-119.
10.1007/s11403-019-00236-7.
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Blandford, A;
(2019)
HCI for health and wellbeing: challenges and opportunities.
International Journal of Human-Computer Studies
, 131
pp. 41-51.
10.1016/j.ijhcs.2019.06.007.
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Blandford, A;
(2019)
Lessons from working with researchers and practitioners in healthcare.
Interactions
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