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Number of items: 702.
A
Aarestrup, FM;
Albeyatti, A;
Armitage, WJ;
Auffray, C;
Augello, L;
Balling, R;
Benhabiles, N;
... Van Oyen, H; + view all
(2020)
Towards a European health research and innovation cloud (HRIC).
Genome Medicine
, 12
, Article 18. 10.1186/s13073-020-0713-z.
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Abah, SE;
Burté, F;
Howell, SA;
Lagunju, I;
Shokunbi, WA;
Wahlgren, M;
Sodeinde, O;
... Fernandez-Reyes, D; + view all
(2020)
Depleted circulatory complement-lysis inhibitor (CLI) in childhood cerebral malaria returns to normal with convalescence.
Malaria Journal
, 19
(1)
, Article 167. 10.1186/s12936-020-03241-5.
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Abascal, J;
Ducros, N;
Pronina, V;
Bussod, S;
Hauptmannz, A;
Arridge, S;
Douek, P;
(2020)
Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach.
In:
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops).
IEEE: Iowa City, IA, USA.
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Abbadi, M;
Spurgeon, S;
Warren, M;
Khan, N;
Kräutler, B;
(2020)
Using sliding mode observers to estimate BtuB concentration from measured vitamin B12 concentration.
IET Systems Biology
, 14
(6)
pp. 334-342.
10.1049/iet-syb.2020.0007.
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Abbadi, Mohammad Daoud Omar;
(2020)
Modelling and analysis of the control mechanisms of bacterial growth.
Doctoral thesis (Ph.D), UCL (University College London).
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Abu-Salma, R;
Livshits, B;
(2020)
Evaluating the End-User Experience of Private Browsing Mode.
In:
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20).
ACM: New York, NY, USA.
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Abu-Salma, Ruba;
(2020)
Designing User-Centered Privacy-Enhancing Technologies.
Doctoral thesis (Ph.D), UCL (University College London).
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Aceto, L;
Baeten, J;
Bouyer-Decitre, P;
Hermanns, H;
Silva, A;
(2020)
CONCUR Test-Of-Time Award 2020 Announcement.
In: Konnov, I and Kovács, L, (eds.)
31st International Conference on Concurrency Theory (CONCUR 2020).
(pp. 5:1-5:3).
Schloss Dagstuhl--Leibniz-Zentrum für Informatik: Dagstuhl, Germany.
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Adams, RA;
Bush, D;
Zheng, F;
Meyer, SS;
Kaplan, R;
Orfanos, S;
Marques, TR;
... Burgess, N; + view all
(2020)
Impaired theta phase coupling underlies frontotemporal dysconnectivity in schizophrenia.
Brain
10.1093/brain/awaa035.
(In press).
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Adams, RA;
Moutoussis, M;
Nour, MM;
Dahoun, T;
Lewis, D;
Illingworth, B;
Veronese, M;
... Roiser, JP; + view all
(2020)
Variability in Action Selection Relates to Striatal Dopamine 2/3 Receptor Availability in Humans: A PET Neuroimaging Study Using Reinforcement Learning and Active Inference Models.
Cerebral Cortex
10.1093/cercor/bhz327.
(In press).
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Ahmad, OF;
Mori, Y;
Misawa, M;
Kudo, S-E;
Anderson, JT;
Bernal, J;
Berzin, TM;
... Lovat, LB; + view all
(2020)
Establishing key research questions for the implementation of artificial intelligence in colonoscopy - a modified Delphi method.
Endoscopy
10.1055/a-1306-7590.
(In press).
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Ahmad, OF;
Stoyanov, D;
Lovat, LB;
(2020)
Barriers and Pitfalls for Artificial Intelligence in Gastroenterology: Ethical and Regulatory issues.
Techniques in Gastrointestinal Endoscopy
, 22
(2)
pp. 80-84.
10.1016/j.tgie.2019.150636.
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Ahmed, SAA;
Zor, C;
Yanikoglu, BA;
Awais, M;
Kittler, J;
(2020)
Deep Convolutional Neural Network Ensembles Using ECOC.
IEEE Access
, 9
pp. 86083-86095.
10.1109/ACCESS.2021.3088717.
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Al Bassam, Mustafa;
(2020)
Securely Scaling Blockchain Base Layers.
Doctoral thesis (Ph.D), UCL (University College London).
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Alavi, HS;
Lalanne, D;
Rogers, Y;
(2020)
The five strands of living lab.
ACM Transactions on Computer-Human Interaction
, 27
(2)
, Article 10. 10.1145/3380958.
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Albert, E;
Gordillo, P;
Rubio, A;
Schett, MA;
(2020)
Synthesis of Super-Optimized Smart Contracts Using Max-SMT.
In:
Computer Aided Verification.
(pp. pp. 177-200).
Springer: Cham, Switzerland.
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Alexander, N;
Alexander, DC;
Barkhof, F;
Denaxas, S;
(2020)
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records.
Studies in Health Technology and Informatics
, 270
pp. 499-503.
10.3233/SHTI200210.
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Allamanis, M;
Barr, ET;
Ducousso, S;
Gao, Z;
(2020)
Typilus: Neural type hints.
In:
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation.
(pp. pp. 91-105).
Association for Computing Machinery (ACM)
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Allan, M;
Kondo, S;
Bodenstedt, S;
Leger, S;
Kadkhodamohammadi, R;
Luengo, I;
Fuentes, F;
... Speidel, S; + view all
(2020)
2018 Robotic Scene Segmentation Challenge.
ArXiv: Ithaca, NY, USA.
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Allen, LA;
Harper, RM;
Vos, SB;
Scott, CA;
Lacuey, N;
Vilella, L;
Winston, JS;
... Diehl, B; + view all
(2020)
Peri-ictal hypoxia is related to extent of regional brain volume loss accompanying generalized tonic-clonic seizures.
Epilepsia
10.1111/epi.16615.
(In press).
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Alles, E;
Dwyer, G;
Colchester, R;
Maneas, E;
Stoyanov, D;
Desjardins, A;
(2020)
Real-time and Freehand Multimodal Imaging: Combining White Light Endoscopy with All-Optical Ultrasound.
In:
(Proceedings) IEEE International Ultrasonics Symposium.
IEEE
(In press).
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Alliez, P;
Cosmo, RD;
Guedj, B;
Girault, A;
Hacid, M-S;
Legrand, A;
Rougier, NP;
(2020)
Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria.
Computing in Science and Engineering
, 22
(1)
pp. 39-52.
10.1109/MCSE.2019.2949413.
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Almeshari, M;
Dowell, J;
Nyhan, J;
(2020)
Museum Mobile Guide Preferences of Different Visitor Personas.
Journal on Computing and Cultural Heritage
, 14
(1)
, Article 9. 10.1145/3423186.
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Alqaraawi, A;
Schuessler, M;
Weiß, P;
Costanza, E;
Berthouze, N;
(2020)
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study.
In:
IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces.
(pp. pp. 275-285).
ACM: Cagliari, Italy.
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Ammanabrolu, P;
Urbanek, J;
Li, M;
Szlam, A;
Rocktäschel, T;
Weston, J;
(2020)
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds.
CoRR
(In press).
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Anastassacos, N;
Hailes, S;
Musolesi, M;
(2020)
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning.
In:
(Proceedings) Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20).
Advancement of Artificial Intelligence (AAAI)
(In press).
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Anatürk, M;
Kaufmann, T;
Cole, JH;
Suri, S;
Griffanti, L;
Zsoldos, E;
Filippini, N;
... De Lange, A-MG; + view all
(2020)
Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging.
Human Brain Mapping
10.1002/hbm.25316.
(In press).
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Anatürk, M;
Suri, S;
Zsoldos, E;
Filippini, N;
Mahmood, A;
Singh-Manoux, A;
Kivimäki, M;
... Sexton, CE; + view all
(2020)
Associations Between Longitudinal Trajectories of Cognitive and Social Activities and Brain Health in Old Age.
JAMA Network Open
, 3
(8)
, Article e2013793. 10.1001/jamanetworkopen.2020.13793.
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Andrews, JTA;
Zhang, Y;
Griffin, LD;
(2020)
Conditional Adversarial Camera Model Anonymization.
In:
Proceedings of the Computer Vision – ECCV 2020 Workshops 2020.
(pp. pp. 217-235).
Springer Nature: Cham, Switzerland.
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Anthony, TW;
Eccles, T;
Tacchetti, A;
Kramár, J;
Gemp, IM;
Hudson, TC;
Porcel, N;
... Bachrach, Y; + view all
(2020)
Learning to Play No-Press Diplomacy with Best Response Policy Iteration.
In:
Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020).
NeurIPS
(In press).
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Antoniol, G;
Sarro, F;
(2020)
Guest editorial: Special section on Search-based Software Engineering track at GECCO 2018.
Information and Software Technology
, 118
, Article 106223. 10.1016/j.infsof.2019.106223.
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Arjas, A;
Hauptmann, A;
Sillanpää, MJ;
(2020)
Estimation of dynamic SNP-heritability with Bayesian Gaussian process models.
Bioinformatics
, 36
(12)
pp. 3795-3802.
10.1093/bioinformatics/btaa199.
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Arjas, A;
Roininen, L;
Sillanpaa, MJ;
Hauptmann, A;
(2020)
Blind Hierarchical Deconvolution.
In:
Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).
IEEE: Espoo, Finland.
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Aspromallis, Christodoulos;
(2020)
Automated manipulation of musical grammars to support episodic interactive experiences.
Doctoral thesis (Ph.D), UCL (University College London).
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Ayobi, A;
Marshall, P;
Cox, AL;
(2020)
Trackly: A Customisable and Pictorial Self-Tracking App to Support Agency in Multiple Sclerosis Self-Care.
In:
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems.
ACM, New York, NY, USA: Honolulu, HI, USA.
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Ayobi, Amid;
(2020)
Self-Tracking by People Living with Multiple Sclerosis: Supporting Experiences of Agency in a Chronic Neurological Condition.
Doctoral thesis (Ph.D), UCL (University College London).
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B
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Bachrach, Y;
Everett, R;
Hughes, E;
Lazaridou, A;
Leibo, JZ;
Lanctot, M;
Johanson, M;
... Graepel, T; + view all
(2020)
Negotiating team formation using deep reinforcement learning.
Artificial Intelligence
, 288
, Article 103356. 10.1016/j.artint.2020.103356.
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Backes, J;
Berrueco, U;
Bray, T;
Brim, D;
Cook, B;
Gacek, A;
Jhala, R;
... Viswanathan, D; + view all
(2020)
Stratified Abstraction of Access Control Policies.
In:
International Conference on Computer Aided Verification CAV 2020: Computer Aided Verification.
(pp. pp. 165-176).
Springer, Cham
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Bainiaksinaite, Julija;
(2020)
Machine Learning and Alternative Data Analytics for Fashion Finance.
Doctoral thesis (Ph.D), UCL (University College London).
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Balatti, P;
Kanoulas, D;
Tsagarakis, N;
Ajoudani, A;
(2020)
A Method for Autonomous Robotic Manipulation through Exploratory Interactions with Uncertain Environments.
Autonomous Robots
, 44
pp. 1395-1410.
10.1007/s10514-020-09933-w.
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Balduzzi, D;
Czarnecki, WM;
Anthony, T;
Gemp, IM;
Hughes, E;
Leibo, JZ;
Piliouras, G;
(2020)
Smooth markets: A basic mechanism for organizing gradient-based learners.
In:
Proceedings of the 8th International Conference on Learning Representations, ICLR 2020.
(pp. pp. 1-18).
ICLR
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Bandukda, M;
Holloway, C;
(2020)
Audio AR to support nature connectedness in people with visual disabilities.
In: Tentori, M and Weibel, N and Van Laerhoven, K and Abowd, G and Salim, F, (eds.)
UbiComp-ISWC '20: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers.
(pp. pp. 204-207).
Association for Computing Machinery (ACM): New York, NY, USA.
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Bandukda, M;
Holloway, C;
Singh, A;
Berthouze, N;
(2020)
PLACES: A Framework for Supporting Blind and Partially Sighted People in Outdoor Leisure Activities.
In:
ASSETS '20: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility.
ACM (Association for Computing Machinery)
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Banino, Andrea;
(2020)
Investigating memory: an intersection of neuroscience and artificial intelligence.
Doctoral thesis (Ph.D), UCL (University College London).
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Bano, S;
Vasconcelos, F;
Shepherd, LM;
Vander Poorten, E;
Vercauteren, T;
Ourselin, S;
David, AL;
... Stoyanov, D; + view all
(2020)
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking.
In: Martel, A and Abolmaesumi, P and Stoyanov, D and Mateus, D and Zuluaga, M and Zhou, SK and Racoceanu, D and Joskowicz, L, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 763-773).
Springer: Lima, Peru.
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Bano, S;
Vasconcelos, F;
Tella-Amo, M;
Dwyer, G;
Gruijthuijsen, C;
Vander Poorten, E;
Vercauteren, T;
... Stoyanov, D; + view all
(2020)
Deep learning-based fetoscopic mosaicking for field-of-view expansion.
International Journal of Computer Assisted Radiology and Surgery
10.1007/s11548-020-02242-8.
(In press).
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Bano, S;
Vasconcelos, F;
Vander Poorten, E;
Vercauteren, T;
Ourselin, S;
Deprest, J;
Stoyanov, D;
(2020)
FetNet: A Recurrent Convolutional Network for Occlusion Identification in Fetoscopic Videos.
International Journal of Computer Assisted Radiology and Surgery
10.1007/s11548-020-02169-0.
(In press).
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Baomar, Haitham Ahmed Omer;
(2020)
Using learning from demonstration to enable automated flight control comparable with experienced human pilots.
Doctoral thesis (Ph.D), UCL (University College London).
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Barbano, R;
Zhang, C;
Arridge, SR;
Jin, B;
(2020)
Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent.
In:
Proceedings of the 25th International Conference on Pattern Recognition (ICPR).
(pp. pp. 1392-1399).
IEEE: Milan, Italy.
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Barbano, R;
Kereta, Z;
Zhang, C;
Hauptmann, A;
Arridge, SR;
Jin, B;
(2020)
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction.
In:
Proceedings of the NeurIPS 2020 Workshop on Deep Learning and Inverse Problems.
(pp. pp. 1-13).
NeurIPS
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Barbareschi, G;
Sonenblum, S;
Holloway, C;
Sprigle, S;
(2020)
Does the setting matter? Observing wheelchair transfers across different environmental conditions.
Assistive Technology
10.1080/10400435.2020.1818328.
(In press).
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Barbareschi, G;
Costanza, E;
Holloway, C;
(2020)
TIP-Toy: a tactile, open-source computational toolkit to support learning across visual abilities.
In:
ASSETS '20: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility.
ACM
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Barbareschi, G;
Daymond, S;
Honeywill, J;
Noble, D;
Mbugua, N;
Harris, I;
Holloway, C;
(2020)
Uncovering unexpected impacts: the case of digital manufacturing of wheelchairs in Kenya.
In:
RESNA 2020 Virtual Conference - GAATO/RESNA Assistive Technology Outcomes/Impact Summit.
RESNA
(In press).
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Barbareschi, G;
Daymond, S;
Honeywill, J;
Singh, A;
Noble, D;
Mbugua, N;
Harris, I;
... Holloway, C; + view all
(2020)
Value beyond function: Analyzing the perception of wheelchair innovations in Kenya.
In:
ASSETS '20: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility.
ACM
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Barbareschi, G;
Holloway, C;
Arnold, K;
Magomere, G;
Ambeyi Wetende, W;
Ngare, G;
Olenja, J;
(2020)
The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, Kenya.
In:
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems.
(pp. pp. 1-15).
ACM
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Barbareschi, G;
Morgado Ramirez, D;
(2020)
Individuality over function: the role of technology in disability identity.
In:
(Proceedings) ACM CHI Conference on Human Factors in Computing Systems.
ACM: Honoluu, HI, USA.
(In press).
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Barbareschi, G;
Morgado Ramirez, D;
(2020)
Supporting the Voice of People with Disabilities in Kenya, Uganda and Jordan.
In:
Proceedings of the 2020 ACM CHI Conference on Human Factors in Computing Systems.
Association for Computing Machinery (ACM): Honolulu, HI, USA.
(In press).
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Barbareschi, G;
Oldfrey, B;
Long, X;
Magomere, G;
Wetende, W;
Wanjira, C;
Olenja, J;
... Holloway, C; + view all
(2020)
Bridging the Divide: Exploring the use of digital and physical technology to aid mobility impaired people living in an informal settlement.
In:
ASSETS '20: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility.
(pp. p. 50).
ACM
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Baron, B;
Musolesi, M;
(2020)
Interpretable Machine Learning for Privacy-Preserving Pervasive Systems.
IEEE Pervasive Computing
, 19
(1)
pp. 73-82.
10.1109/MPRV.2019.2918540.
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Baron, B;
Musolesi, M;
(2020)
Where You Go Matters: A Study on the Privacy Implications of Continuous Location Tracking.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
, 4
(4)
, Article 169. 10.1145/3432699.
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Barrett, G;
Hall, JA;
Howden, B;
Patel, D;
Shawe, J;
Stephenson, J;
(2020)
Evaluation of the Psychometric Properties of a Version of the London Measure of Unplanned Pregnancy for Women’s Partners.
International Journal of Men's Social and Community Health
, 3
(1)
e65-e77.
10.22374/ijmsch.v3i1.20.
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Bartlam-Brooks, H;
Wilshin, S;
Hubel, T;
Hailes, S;
Bennitt, E;
Wilson, AM;
(2020)
There and back again – a zebra's tale.
Journal of Experimental Biology
, 223
(23)
, Article jeb232140. 10.1242/jeb.232140.
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Bartolo, M;
Roberts, A;
Welbl, J;
Riedel, S;
Stenetorp, P;
(2020)
Beat the ai: Investigating adversarial human annotation for reading comprehension.
Transactions of the Association for Computational Linguistics
, 8
pp. 662-678.
10.1162/tacl_a_00338.
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Bartolucci, S;
Caccioli, F;
Vivo, P;
(2020)
A percolation model for the emergence of the Bitcoin Lightning Network.
Scientific Reports
, 10
(1)
, Article 4488. 10.1038/s41598-020-61137-5.
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Bartolucci, S;
Destefanis, G;
Ortu, M;
Uras, N;
Marchesi, M;
Tonelli, R;
(2020)
The Butterfly "Affect": impact of development practices on cryptocurrency prices.
EPJ Data Science
, 9
, Article 21. 10.1140/epjds/s13688-020-00239-6.
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Bartolucci, S;
Kirilenko, A;
(2020)
A model of the optimal selection of crypto assets.
Royal Society Open Science
, 7
(8)
, Article 191863. 10.1098/rsos.191863.
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Barucca, P;
(2020)
A Fair Governance: On Inequality, Power and Democracy.
Topoi
10.1007/s11245-020-09697-z.
(In press).
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Barucca, P;
(2020)
Spectral density of equitable core-periphery graphs.
Physica A: Statistical Mechanics and its Applications
, 553
, Article 124649. 10.1016/j.physa.2020.124649.
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Barucca, P;
Bardoscia, M;
Caccioli, F;
D'Errico, M;
Visentin, G;
Caldarelli, G;
Battiston, S;
(2020)
Network valuation in financial systems.
Mathematical Finance
10.1111/mafi.12272.
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Barucca, P;
Kieburg, M;
Ossipov, A;
(2020)
Eigenvalue and Eigenvector Statistics in Time Series Analysis.
EPL (Europhysics Letters)
, 129
(6)
, Article 60003. 10.1209/0295-5075/129/60003.
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Batz, K;
Junges, S;
Kaminski, BL;
Katoen, J-P;
Matheja, C;
Schröer, P;
(2020)
PrIC3: Property Directed Reachability for MDPs.
In:
International Conference on Computer Aided Verification CAV 2020: Computer Aided Verification.
(pp. pp. 512-538).
Springer, Cham
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Baum, ZMC;
Hu, Y;
Barratt, DC;
(2020)
Multimodality Biomedical Image Registration Using Free Point Transformer Networks.
In:
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis.
(pp. pp. 116-125).
Springer Nature: Cham, Switzerland.
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Baumann, T;
Graepel, T;
Shawe-Taylor, J;
(2020)
Adaptive Mechanism Design: Learning to Promote Cooperation.
In:
Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN).
IEEE: Glasgow, UK.
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Bausch, J;
Cubitt, TS;
Lucia, A;
Perez-Garcia, D;
(2020)
Undecidability of the Spectral Gap in One Dimension.
Physical Review X
, 10
(3)
, Article 031038. 10.1103/PhysRevX.10.031038.
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Bellio, M;
Oxtoby, NP;
Walker, Z;
Henley, S;
Ribbens, A;
Blandford, A;
Alexander, DC;
(2020)
Analyzing large Alzheimer’s disease cognitive datasets: Considerations and challenges.
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
, 12
(1)
, Article e12135. 10.1002/dad2.12135.
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Bench, C;
Hauptmann, A;
Cox, B;
(2020)
Toward accurate quantitative photoacoustic imaging: learning vascular blood oxygen saturation in three dimensions.
Journal of Biomedical Optics
, 25
(8)
, Article 085003. 10.1117/1.JBO.25.8.085003.
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Benvenuto, F;
Jin, B;
(2020)
A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk.
Inverse Problems
, 36
(6)
, Article 065004. 10.1088/1361-6420/ab6d58.
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Beohar, H;
Koenig, B;
Kuepper, S;
Silva, A;
(2020)
Conditional transition systems with upgrades.
Science of Computer Programming
, 186
, Article 102320. 10.1016/j.scico.2019.102320.
|
|
|
Berkel, NV;
Ahmad, OF;
Stoyanov, D;
Lovat, L;
Blandford, A;
(2020)
Designing Visual Markers for Continuous Artificial Intelligence Support.
ACM Transactions on Computing for Healthcare
, 2
(1)
pp. 1-24.
10.1145/3422156.
|
|
|
Bermudez-Villalva, A;
Musolesi, M;
Stringhini, G;
(2020)
A Measurement Study on the Advertisements Displayed to Web Users Coming from the Regular Web and from Tor.
In:
2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).
(pp. pp. 494-499).
IEEE: Genoa, Italy.
|
|
|
Billot, B;
Bocchetta, M;
Todd, E;
Dalca, AV;
Rohrer, JD;
Iglesias, JE;
(2020)
Automated segmentation of the Hypothalamus and associated subunits in brain MRI.
NeuroImage
, 223
, Article 117287. 10.1016/j.neuroimage.2020.117287.
(In press).
|
|
|
Binti Abdullah, S;
Demosthenous, A;
Yasin, I;
(2020)
Comparison of Auditory-Inspired Models Using Machine-Learning for Noise Classification.
In:
International Journal of Simulation Systems, Science & Technology Special Issue: Conference Procedings UKSim2020, 25 to 27 March 2020.
(pp. 20.1-20.9).
United Kingdom Simulation Society: Cambridge, UK.
|
|
Biondi, Y;
Righi, S;
(2020)
Much ado about making money: the impact of disclosure, news and rumors on the formation of security market prices over time.
Journal of Economic Interaction and Coordination
, 15
pp. 333-362.
10.1007/s11403-017-0201-8.
|
|
Blandford, A;
Wesson, J;
Amalberti, R;
AlHazme, R;
Allwihan, R;
(2020)
Opportunities and challenges for telehealth within, and beyond, a pandemic.
The Lancet Global Health
10.1016/S2214-109X(20)30362-4.
(In press).
|
|
|
Blandford, AE;
Furniss, D;
Galal-Edeen, G;
Chumbley, G;
Wei, L;
Franklin, B;
(2020)
Intravenous infusion practices across England and their impact on patient safety: a mixed-methods observational study.
Health Services and Delivery Research
, 8
(7)
pp. 1-116.
10.3310/hsdr08070.
|
|
|
Blot, A;
Petke, J;
(2020)
Stack-Based Genetic Improvement.
In:
ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops.
(pp. pp. 289-290).
ACM
|
|
Blot, A;
Petke, J;
(2020)
Synthetic Benchmarks for Genetic Improvement.
In:
ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops.
(pp. pp. 287-288).
ACM
|
|
Blot, A;
Petke, J;
(2020)
Comparing Genetic Programming Approaches for Non-functional Genetic Improvement.
In: Hu, T and Lourenço, N and Medvet, E and Divina, F, (eds.)
Genetic Programming.
(pp. pp. 68-83).
Springer Nature: Cham, Switzerland.
|
|
Bonchi, F;
Piedeleu, R;
Sobocinski, P;
Zanasi, F;
(2020)
Contextual Equivalence for Signal Flow Graphs.
In: Goubault-Larrecq, J and König, B, (eds.)
Foundations of Software Science and Computation Structures.
(pp. pp. 77-96).
Springer: Cham, Switzerland.
|
|
|
Bootle, J;
Cerulli, A;
Chaidos, P;
Ghadafi, E;
Groth, J;
(2020)
Foundations of Fully Dynamic Group Signatures.
Journal of Cryptology
, 33
(4)
pp. 1822-1870.
10.1007/s00145-020-09357-w.
|
|
|
Borovitskiy, V;
Azangulov, I;
Terenin, A;
Mostowsky, P;
Deisenroth, MP;
Durrande, N;
(2020)
Matern Gaussian Processes on Graphs.
arXiv: Ithaca, NY, USA.
|
|
|
Borovitskiy, V;
Terenin, A;
Mostowsky, P;
Deisenroth, MP;
(2020)
Matern Gaussian processes on Riemannian manifolds.
In:
Proceedings of the Advances in Neural Information Processing Systems.
: Massachusetts Institute of Technology Press.
(In press).
|
|
|
Borsa, Diana;
(2020)
Reinforcement Learning in Persistent Environments: Representation Learning and Transfer.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Botev, Aleksandar;
(2020)
The Gauss-Newton matrix for Deep Learning models and its applications.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Bovo, R;
Binetti, N;
Brumby, DP;
Julier, S;
(2020)
Detecting errors in pick and place procedures.
In: Paternò, F and Oliver, N and Conati, C and Spano, LD and Tintarev, N, (eds.)
IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces.
(pp. pp. 536-545).
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
|
Bragman, F;
Tanno, R;
Ourselin, S;
Alexander, D;
Cardoso, J;
(2020)
Stochastic filter groups for multi-task cnns: Learning specialist and generalist convolution kernels.
In:
Proceedings of 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
(pp. pp. 1385-1394).
IEEE: Seoul, Korea.
|
|
|
Brandao, P;
Psychogyios, D;
Mazomenos, E;
Stoyanov, D;
Janatka, M;
(2020)
HAPNet: hierarchically aggregated pyramid network for real-time stereo matching.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
10.1080/21681163.2020.1835561.
(In press).
|
|
Bray, T;
Bainbridge, A;
Sakai, N;
Hall-Craggs, M;
Zhang, H;
(2020)
An Information-based Comparison of Diffusion Attenuation Models in Normal and Inflamed Bone Marrow.
NMR in Biomedicine
, 33
(11)
, Article e4390. 10.1002/nbm.4390.
|
|
|
Breen-Norris, JO;
Siow, B;
Walsh, C;
Hipwell, B;
Hill, I;
Roberts, T;
Hall, MG;
... Walker-Samuel, S; + view all
(2020)
Measuring diffusion exchange across the cell membrane with DEXSY (Diffusion Exchange Spectroscopy).
Magnetic Resonance in Medicine
10.1002/mrm.28207.
(In press).
|
|
|
Breuckmann, NP;
Placke, B;
Roy, A;
(2020)
Critical properties of the Ising model in hyperbolic space.
Physical Review E
, 101
(2)
, Article 022124. 10.1103/PhysRevE.101.022124.
|
|
|
Brogueira Rodrigues, F;
Byrne, L;
Tortelli, R;
Johnson, E;
Wijeratne, P;
De Vita, E;
Ghazaleh, N;
... Wild, E; + view all
(2020)
Mutant huntingtin and neurofilament light have distinct longitudinal dynamics in Huntington's disease.
Science Translational Medicine
, 12
(574)
10.1126/scitranslmed.abc2888.
|
|
|
Brotherston, J;
Costa, D;
Hobor, A;
Wickerson, J;
(2020)
Reasoning over Permissions Regions in Concurrent Separation Logic.
In:
Computer Aided Verification.
(pp. pp. 203-224).
Springer: Switzerland, Cham.
|
|
|
Brown, BJ;
Manescu, P;
Przybylski, AA;
Caccioli, F;
Oyinloye, G;
Elmi, M;
Shaw, MJ;
... Fernandez-Reyes, D; + view all
(2020)
Data-driven malaria prevalence prediction in large densely populated urban holoendemic sub-Saharan West Africa.
Scientific Reports
, 10
(1)
, Article 15918. 10.1038/s41598-020-72575-6.
|
|
|
Browning, M;
Carter, CS;
Chatham, C;
Den Ouden, H;
Gillan, CM;
Baker, JT;
Chekroud, AM;
... Paulus, M; + view all
(2020)
Realizing the Clinical Potential of Computational Psychiatry: Report From the Banbury Center Meeting, February 2019.
Biological Psychiatry
, 88
(2)
e5-e10.
10.1016/j.biopsych.2019.12.026.
|
|
Brownlee, AEI;
Petke, J;
Rasburn, AF;
(2020)
Injecting Shortcuts for Faster Running Java Code.
In:
Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC).
IEEE: Glasgow, UK.
|
|
|
Bruce, D;
Menéndez, HD;
Barr, ET;
Clark, D;
(2020)
Ant Colony Optimization for Object-Oriented Unit Test Generation.
In: Dorigo, M and Stützle, T and Blesa, MJ and Blum, C and Hamann, H and Heinrich, MK and Strobel, V, (eds.)
Swarm Intelligence: 12th International Conference, ANTS 2020, Barcelona, Spain, October 26–28, 2020, Proceedings.
(pp. pp. 29-41).
Springer: Cham, Switzerland.
|
|
|
Brudy, Frederik Martin;
(2020)
Designing for Cross-Device Interactions.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Brunet, P;
(2020)
A complete axiomatisation of a fragment of language algebra.
In: Fernandez, M and Muscholl, A, (eds.)
LIPIcs : Leibniz International Proceedings in Informatics.
(pp. 11:1-11:15).
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik: Barcelona, Spain.
|
|
|
Brunet, P;
Pym, D;
(2020)
Pomsets with Boxes: Protection, Separation, and Locality in Concurrent Kleene Algebra.
In: Ariola, ZM, (ed.)
5th International Conference on Formal Structures for Computation and Deduction (FSCD 2020).
(pp. 5:1-5:16).
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
|
|
Brusaferri, L;
Bousse, A;
Emond, EC;
Brown, R;
Tsai, Y-J;
Atkinson, D;
Ourselin, S;
... Thielemans, K; + view all
(2020)
Joint Activity and Attenuation Reconstruction from Multiple Energy Window Data with Photopeak Scatter Re-Estimation in non-TOF 3D PET.
IEEE Transactions on Radiation and Plasma Medical Sciences
10.1109/trpms.2020.2978449.
(In press).
|
|
|
Brusaferri, L;
Emond, EC;
Atkinson, D;
Ourselin, S;
Hutton, BF;
Arridge, S;
Thielemans, K;
(2020)
Joint reconstruction of activity and attenuation in non-TOF PET using a synergistic prior to enforce structural similarities.
In:
Proceedings of the 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE: Manchester, UK.
|
|
|
Buchan, DW;
Jones, DT;
(2020)
Learning a Functional Grammar of Protein Domains using Natural Language Word Embedding Techniques.
Proteins
, 88
(4)
pp. 616-624.
10.1002/prot.25842.
|
|
Budd, J;
Miller, BS;
Manning, EM;
Lampos, V;
Zhuang, M;
Edelstein, M;
Rees, G;
... McKendry, RA; + view all
(2020)
Digital technologies in the public-health response to COVID-19.
Nature Medicine
, 26
pp. 1183-1192.
10.1038/s41591-020-1011-4.
|
|
Bulathwela, S;
Kreitmayer, S;
Pérez-Ortiz, M;
(2020)
What's in it for me?: Augmenting recommended learning resources with navigable annotations.
In:
IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces Companion.
(pp. pp. 114-115).
Association for Computing Machinery: New York, NY, USA.
|
|
|
Bulathwela, S;
PAerez-Ortiz, M;
Yilmaz, E;
Shawe-Taylor, J;
(2020)
Towards an Integrative Educational Recommender for Lifelong Learners.
In:
Proceedings of the AAAI Conference on Artificial Intelligence.
(pp. pp. 13759-13760).
Association for the Advancement of Artificial Intelligence (AAAI)
|
|
|
Bulathwela, S;
Pérez-Ortiz, M;
Lipani, A;
Yilmaz, E;
Shawe-Taylor, J;
(2020)
Predicting Engagement in Video Lectures.
In:
Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020).
(pp. pp. 50-60).
Educational Data Mining (EDM)
|
|
Bulathwela, S;
Pérez-Ortiz, M;
Mehrotra, R;
Orlic, D;
De La Higuera, C;
Shawe-Taylor, J;
Yilmaz, E;
(2020)
SUM’20: State-based user modelling.
In:
WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining.
(pp. pp. 899-900).
ACM: Houston, TX, USA.
|
|
|
Bulathwela, S;
Pérez-Ortiz, M;
Yilmaz, E;
Shawe-Taylor, J;
(2020)
TrueLearn: A family of bayesian algorithms to match lifelong learners to open educational resources.
In:
AAAI Technical Track: Applications.
(pp. pp. 565-573).
AAAI
|
|
|
Bumpus, G;
Haase, C;
Kiefer, S;
Stoienescu, P-I;
Tanner, J;
(2020)
On the Size of Finite Rational Matrix Semigroups.
In:
Proceedings of the 47th International Colloquium on Automata, Languages, and Programming (ICALP 2020).
(pp. p. 115).
Schloss Dagstuhl--Leibniz-Zentrum: Dagstuhl, Germany.
|
|
Burnie, A;
Yilmaz, E;
Aste, T;
(2020)
Analysing Social Media Forums to Discover Potential Causes of Phasic Shifts in Cryptocurrency Price Series.
Frontiers Blockchain
, 3
, Article 1. 10.3389/fbloc.2020.00001.
|
|
|
Burnie, Andrew Peter;
(2020)
Processing social media text for the quantamental analyses of cryptoasset time series.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Burton, SD;
(2020)
Responsible use of exoskeletons and exosuits: Ensuring domestic security in a European context.
Paladyn, Journal of Behavioral Robotics
, 11
(1)
pp. 370-378.
10.1515/pjbr-2020-0015.
|
|
|
Bussod, S;
Abascal, JFPJ;
Arridge, SR;
Hauptmann, A;
Chappard, C;
Ducros, N;
Peyrin, F;
(2020)
Convolutional Neural Network for Material Decomposition in Spectral CT Scans.
In:
2020 28th European Signal Processing Conference (EUSIPCO).
(pp. pp. 1259-1263).
IEEE: Amsterdam, Netherlands.
|
|
|
Butters, D;
Jonasson, ET;
Stuart-Smith, R;
Pawar, VM;
(2020)
Efficient Environment Guided Approach for Exploration of Complex Environments.
In:
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
(pp. pp. 929-934).
IEEE: Macau, China.
|
C
|
Caciagli, L;
Allen, LA;
He, X;
Trimmel, K;
Vos, SB;
Centeno, M;
Galovic, M;
... Sperling, MR; + view all
(2020)
Thalamus and focal to bilateral seizures: A multi-scale cognitive imaging study.
Neurology
10.1212/WNL.0000000000010645.
(In press).
|
|
|
Caciagli, L;
Wandschneider, B;
Centeno, M;
Vollmar, C;
Vos, SB;
Trimmel, K;
Long, L;
... Koepp, MJ; + view all
(2020)
Motor hyperactivation during cognitive tasks: An endophenotype of juvenile myoclonic epilepsy.
Epilepsia
10.1111/epi.16575.
(In press).
|
|
|
Caldwell, M;
Andrews, JTA;
Tanay, T;
Griffin, LD;
(2020)
AI-enabled future crime.
Crime Science
, 9
(1)
, Article 14. 10.1186/s40163-020-00123-8.
|
|
|
Callaghan, R;
Alexander, DC;
Palombo, M;
Zhang, H;
(2020)
ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation.
NeuroImage
, 220
, Article 117107. 10.1016/j.neuroimage.2020.117107.
|
|
Camburu, O-M;
Shillingford, B;
Minervini, P;
Lukasiewicz, T;
Blunsom, P;
(2020)
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
In:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
(pp. pp. 4157-4165).
Association for Computational Linguistics: Stroudsburg, PA, USA.
|
 |
|
Capuani, S;
Palombo, M;
(2020)
Mini Review on Anomalous Diffusion by MRI: Potential Advantages, Pitfalls, Limitations, Nomenclature, and Correct Interpretation of Literature.
Frontiers in Physics
, 7
, Article 248. 10.3389/fphy.2019.00248.
|
|
|
Carlisle, N;
Glazewska-Hallin, A;
Story, L;
Carter, J;
Seed, PT;
Suff, N;
Giblin, L;
... Shennan, AH; + view all
(2020)
CRAFT (Cerclage after full dilatation caesarean section): protocol of a mixed methods study investigating the role of previous in-labour caesarean section in preterm birth risk.
BMC Pregnancy and Childbirth
, 20
(1)
, Article 698. 10.1186/s12884-020-03375-z.
|
|
|
Carreiro, F;
Facchini, A;
Venema, Y;
Zanasi, F;
(2020)
The Power of the Weak.
ACM Transactions on Computational Logic
, 21
(2)
, Article 15.
|
|
|
Casalnuovo, C;
Barr, ET;
Dash, SK;
Devanbu, P;
Morgan, E;
(2020)
A Theory of Dual Channel Constraints.
In:
ICSE-NIER '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: New Ideas and Emerging Results.
(pp. pp. 25-28).
ACM: Seoul, Korea.
|
|
Caulfield, T;
Spring, J;
Sasse, M;
(2020)
Why Jenny Can’t Figure Out Which Of These Messages Is A Covert Information Operation.
In:
NSPW '19: Proceedings of the New Security Paradigms Workshop.
ACM: San Carlos, Costa Rica.
|
|
|
Cavdar, SK;
Taskaya-Temizel, T;
Musolesi, M;
Tino, P;
(2020)
A multi-perspective analysis of social context and personal factors in office settings for the design of an effective mobile notification system.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
, 4
(1)
, Article 15. 10.1145/3381000.
|
|
|
Cella, L;
Lazaric, A;
Pontil, M;
(2020)
Meta-learning with Stochastic Linear Bandits.
In: Daumé III, H and Singh, A, (eds.)
Proceedings of the 37th International Conference on Machine Learning.
(pp. pp. 1337-1347).
Proceedings of Machine Learning Research (PMLR): Virtual conference.
|
|
|
Chadebecq, F;
Vasconcelos, F;
Lacher, R;
Maneas, E;
Desjardins, A;
Ourselin, S;
Vercauteren, T;
(2020)
Refractive Two-View Reconstruction for Underwater 3D Vision.
International Journal of Computer Vision
, 128
pp. 1101-1117.
10.1007/s11263-019-01218-9.
|
|
Chadebecq, F;
Vasconcelos, F;
Mazomenos, E;
Stoyanov, D;
(2020)
Computer Vision in the Surgical Operating Room.
Visceral Medicine
, 36
(6)
pp. 456-462.
10.1159/000511934.
|
|
|
Chadwell, A;
Diment, L;
Micó-Amigo, M;
Morgado Ramírez, DZ;
Dickinson, A;
Granat, M;
Kenney, L;
... Worsley, P; + view all
(2020)
Technology for monitoring everyday prosthesis use: a systematic review.
Journal of NeuroEngineering and Rehabilitation
, 17
, Article 93. 10.1186/s12984-020-00711-4.
|
|
|
Chalaguine, LA;
Hunter, A;
(2020)
A persuasive chatbot using a crowd-sourced argument graph and concerns.
In:
Computational Models of Argument.
(pp. pp. 9-20).
IOS Press
|
|
|
Chalaguine, LA;
Hunter, A;
Potts, H;
Hamilton, F;
(2020)
Impact of argument type and concerns in argumentation with a chatbot.
In:
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI.
(pp. pp. 1557-1562).
IEEE: Portland, OR, USA.
|
|
Chen, I-HA;
Ghazi, A;
Sridhar, A;
Stoyanov, D;
Slack, M;
Kelly, JD;
Collins, JW;
(2020)
Evolving robotic surgery training and improving patient safety, with the integration of novel technologies.
World Journal of Urology
10.1007/s00345-020-03467-7.
(In press).
|
|
|
Chen, J;
Zhao, Y;
Sej a, A;
Schmitt Laser, M;
Zhang, J;
Sarro, F;
Harman, M;
(2020)
FrUITeR: a framework for evaluating UI test reuse.
In:
ESEC/FSE 2020: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
(pp. pp. 1190-1201).
ACM
|
|
Chen, Y;
Tian, Z;
Zhang, H;
Wang, J;
Zhang, D;
(2020)
Strongly Constrained Discrete Hashing.
IEEE Transactions on Image Processing
, 29
pp. 3596-3611.
10.1109/TIP.2020.2963952.
|
|
|
Chetty, K;
Tang, C;
Li, W;
Julier, S;
Woodbridge, K;
(2020)
Occupancy Detection and People Counting Using WiFi Passive Radar.
In:
Proceedings of the 2020 IEEE Radar Conference - Renaissance meets advancing technology.
The Institute of Electrical and Electronics Engineers (IEEE)
|
|
Chi, TV;
Marzo, A;
Memoli, G;
Maggioni, E;
Ablart, D;
Yeomans, M;
Obrist, M;
(2020)
LeviSense: A platform for the multisensory integration in levitating food and insights into its effect on flavour perception.
International Journal of Human-Computer Studies
, 139
, Article 102428. 10.1016/j.ijhcs.2020.102428.
|
|
Chiou, E;
Giganti, F;
Punwani, S;
Kokkinos, I;
Panagiotaki, E;
(2020)
Harnessing uncertainty in domain adaptation for mri prostate lesion segmentation.
In: Martel, A.L and Abolmaesumi, P and Stoyanov, D and Mateus, D and Zuluaga, M.A and Zhou, S.K and Racoceanu, D and Joskowicz, L, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 510-520).
Springer: Lima, Peru.
|
|
|
Chistikov, D;
Haase, C;
(2020)
On the power of ordering in linear arithmetic theories.
In:
Proceedings of the 47th International Colloquium on Automata, Languages, and Programming (ICALP 2020).
(pp. p. 119).
Leibniz International Proceedings in Informatics, LIPIcs: Saarbrücken, Germany (Virtual Conference).
|
|
|
Chua, YT;
Parkin, S;
Edwards, M;
Oliveira, D;
Schiffner, S;
Tyson, G;
Hutchings, A;
(2020)
Identifying Unintended Harms of Cybersecurity Countermeasures.
In:
Proceedings of the 2019 APWG Symposium on Electronic Crime Research (eCrime).
IEEE: Pittsburgh, PA, USA.
|
|
|
Ciliberto, C;
Rocchetto, A;
Rudi, A;
Wossnig, L;
(2020)
Statistical limits of supervised quantum learning.
Physical Review A
, 102
(4)
, Article 042414. 10.1103/PhysRevA.102.042414.
|
|
|
Ciuti, G;
Skonieczna-Żydecka, K;
Marlicz, W;
Iacovacci, V;
Liu, H;
Stoyanov, D;
Arezzo, A;
... Koulaouzidis, A; + view all
(2020)
Frontiers of Robotic Colonoscopy: A Comprehensive Review of Robotic Colonoscopes and Technologies.
Journal of Clinical Medicine
, 9
(6)
, Article 1648. 10.3390/jcm9061648.
|
|
|
Clancy, NT;
Jones, G;
Maier-Hein, L;
Elson, DS;
Stoyanov, D;
(2020)
Surgical spectral imaging.
Medical Image Analysis
, 63
, Article 101699. 10.1016/j.media.2020.101699.
|
|
|
Claveau, R;
Manescu, P;
Elmi, M;
Pawar, V;
Shaw, M;
Fernandez-Reyes, D;
(2020)
Digital refocusing and extended depth of field reconstruction in Fourier ptychographic microscopy.
Biomedical Optics Express
, 11
(1)
pp. 215-226.
10.1364/boe.11.000215.
|
|
|
Claveau, R;
Manescu, P;
Fernandez-Reyes, D;
Shaw, M;
(2020)
Structure-dependent amplification for denoising and background correction in Fourier ptychographic microscopy.
Optics Express
, 28
(24)
pp. 35438-35453.
10.1364/oe.403780.
|
|
|
Clymo, J;
Manukian, H;
Fijalkow, NS;
Gascon, A;
Paige, B;
(2020)
Data Generation for Neural Programming by Example.
In: Chiappa, S and Calandra, R, (eds.)
Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics.
(pp. pp. 3450-3458).
Proceedings of Machine Learning Research (PMLR): Online conference.
|
|
|
Coban, SB;
Lucka, F;
Palenstijn, WJ;
Van Loo, D;
Batenburg, KJ;
(2020)
Explorative Imaging and Its Implementation at the FleX-ray Laboratory.
Journal of Imaging
, 6
(4)
, Article 18. 10.3390/jimaging6040018.
|
|
|
Colanzi, TE;
Assunção, WKG;
Vergilio, SR;
Farah, PR;
Guizzo, G;
(2020)
The Symposium on Search-Based Software Engineering: Past, Present and Future.
Information and Software Technology
, 127
, Article 106372. 10.1016/j.infsof.2020.106372.
|
|
Cole, JH;
(2020)
Multi-modality neuroimaging brain-age in UK Biobank: relationship to biomedical, lifestyle and cognitive factors.
Neurobiology of Aging
10.1016/j.neurobiolaging.2020.03.014.
|
|
|
Cole, JH;
Raffel, J;
Friede, T;
Eshaghi, A;
Brownlee, WJ;
Chard, D;
De Stefano, N;
... MAGNIMS study group; + view all
(2020)
Longitudinal assessment of multiple sclerosis with the brain-age paradigm.
Annals of Neurology
, 88
(1)
pp. 93-105.
10.1002/ana.25746.
|
|
Colleoni, E;
Edwards, P;
Stoyanov, D;
(2020)
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery.
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 700-710).
Springer Nature: Cham, Switzerland.
|
|
|
Collins, GJ;
(2020)
Integrating Industry Seminars within a Software Engineering Module to Enhance Student Motivation.
In:
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO).
IEEE: Opatija, Croatia.
|
|
|
Collins, JW;
Ghazi, A;
Stoyanov, D;
Hung, A;
Coleman, M;
Cecil, T;
Ericsson, A;
... Kelly, JD; + view all
(2020)
Utilising an Accelerated Delphi Process to Develop Guidance and Protocols for Telepresence Applications in Remote Robotic Surgery Training.
European Urology Open Science
, 22
pp. 23-33.
10.1016/j.euros.2020.09.005.
|
|
|
Consumi, V;
Lindenroth, L;
Stoyanov, D;
Stilli, A;
(2020)
SoftSCREEN – Soft Shape-shifting Capsule Robot for Endoscopy based on Eversion Navigation.
In:
Proceedings of the 10th Conference on New Technologies for Computer/Robot Assisted Surgery.
CRAS: Barcelona, Spain.
|
|
|
Cook, B;
Döbel, B;
Kroening, D;
Manthey, N;
Pohlack, M;
Polgreen, E;
Tautschnig, M;
(2020)
Using model checking tools to triage the severity of security bugs in the Xen hypervisor.
In:
Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design – FMCAD 2020.
(pp. pp. 185-193).
TU Wien Academic Press: Vienna, Austria.
|
|
|
Cook, B;
Khazem, K;
Kroening, D;
Tasiran, S;
Tautschnig, M;
Tuttle, MR;
(2020)
Model checking boot code from AWS data centers.
Formal Methods in System Design
10.1007/s10703-020-00344-2.
(In press).
|
|
|
Cornelio Martinez, P;
Maggioni, E;
Brianza, G;
Subramanian, S;
Obrist, M;
(2020)
SmellControl: The Study of Sense of Agency in Smell.
In:
ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction.
(pp. pp. 470-480).
ACM
|
|
Courtois, NT;
Abbondati, M;
Ratoanina, H;
Grajek, M;
(2020)
Systematic Construction of Nonlinear Product Attacks on Block Ciphers.
In:
Information Security and Cryptology – ICISC 2019.
(pp. pp. 20-51).
Springer: Cham, Switzerland.
|
|
|
Courtois, NT;
Patrick, A;
Abbondati, M;
(2020)
Construction of a polynomial invariant annihilation attack of degree 7 for T-310.
Cryptologia
, 44
(4)
pp. 289-314.
10.1080/01611194.2019.1706062.
|
|
|
Cox, A;
(2020)
Boundary Management and Communication Technologies.
In: Yates, S and Rice, R, (eds.)
The Oxford Handbook of Digital Technology and Society.
Oxford University Press: Oxford, UK.
|
|
|
Cox, A;
Bird, J;
Brumby, D;
Cecchinato, M;
Gould, S;
(2020)
Prioritizing unread e-mails: people send urgent responses before important or short ones.
Human–Computer Interaction
10.1080/07370024.2020.1835481.
(In press).
|
|
Coy, Rachel Hannah;
(2020)
Modelling the Impact of Cell Seeding Strategies on Cell Survival and Vascularisation in Engineered Tissue.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Crites, EC;
Maller, M;
Meiklejohn, S;
Mercer, R;
(2020)
Reputable List Curation from Decentralized Voting.
In:
Proceedings on Privacy Enhancing Technologies.
(pp. pp. 297-320).
Sciendo
|
|
|
Crossland, T;
Stenetorp, P;
Riedel, S;
Kawata, D;
Kitching, TD;
Croft, RAC;
(2020)
Towards machine-assisted meta-studies: the Hubble constant.
Monthly Notices of the Royal Astronomical Society
, 492
(3)
pp. 3217-3228.
10.1093/mnras/stz3400.
|
|
Cruz-Almeida, Y;
Cole, J;
(2020)
Pain, aging, and the brain: new pieces to a complex puzzle.
Pain
, 161
(3)
pp. 461-463.
10.1097/j.pain.0000000000001757.
|
D
|
D'Elia, DC;
Coppa, E;
Palmaro, F;
Cavallaro, L;
(2020)
On the Dissection of Evasive Malware.
IEEE Transactions on Information Forensics and Security
, 15
pp. 2750-2765.
10.1109/TIFS.2020.2976559.
|
|
|
D'Ettorre, C;
Stilli, A;
Dwyer, G;
Neves, J;
Tran, M;
Stoyanov, D;
(2020)
Semi-Autonomous Interventional Manipulation using Pneumatically Attachable Flexible Rails.
In:
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
(pp. pp. 1347-1354).
IEEE: Macau, China.
|
|
da Silva, NM;
Forsyth, R;
McEvoy, A;
Miserocchi, A;
de Tisi, J;
Vos, SB;
Winston, GP;
... Taylor, PN; + view all
(2020)
Network reorganisation following anterior temporal lobe resection and relation with post-surgery seizure relapse: A longitudinal study.
NeuroImage: Clinical
, 27
, Article 102320. 10.1016/j.nicl.2020.102320.
|
|
|
Dąbrowski, J;
Letier, E;
Perini, A;
Susi, A;
(2020)
Mining User Opinions To Support Requirement Engineering: An Empirical Study.
In:
International Conference on Advanced Information Systems Engineering CAiSE 2020: Advanced Information Systems Engineering.
(pp. pp. 401-416).
Springer, Cham: Grenoble, France.
|
|
Dafflon, J;
Pinaya, WHL;
Turkheimer, F;
Cole, JH;
Leech, R;
Harris, MA;
Cox, SR;
... Hellyer, PJ; + view all
(2020)
An automated machine learning approach to predict brain age from cortical anatomical measures.
Human Brain Mapping
10.1002/hbm.25028.
(In press).
|
|
|
Dai, X;
Hou, J;
Liu, Q;
Xi, Y;
Tang, R;
Zhang, W;
He, X;
... Yu, Y; + view all
(2020)
U-rank: Utility-oriented Learning to Rank with Implicit Feedback.
In: D'Aquin, M and Dietze, S and Hauff, C and Curry, E and Cudre Mauroux, P, (eds.)
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management.
(pp. pp. 2373-2380).
Association for Computing Machinery (ACM): New York, NY, USA.
|
|
|
Daniel, H;
Damien, A;
Schneider, O;
Obrist, M;
(2020)
I can feel it moving: Science Communicators Talking About the Potential of Mid-Air Haptics.
Frontiers in Computer Science
10.3389/fcomp.2020.534974.
(In press).
|
|
|
Darvariu, V-A;
Convertino, L;
Mehrotra, A;
Musolesi, M;
(2020)
Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
, 4
(1)
, Article 7. 10.1145/3380997.
|
|
|
De Ceuster, F;
Bolte, J;
Homan, W;
Maes, S;
Malfait, J;
Decin, L;
Yates, J;
... Hetherington, J; + view all
(2020)
MAGRITTE, a modern software library for 3D radiative transfer - II. Adaptive ray-tracing, mesh construction, and reduction.
Monthly Notices of the Royal Astronomical Society
, 499
(4)
pp. 5194-5204.
10.1093/mnras/staa3199.
|
|
|
De Ceuster, F;
Homan, W;
Yates, J;
Decin, L;
Boyle, P;
Hetherington, J;
(2020)
MAGRITTE, a modern software library for 3D radiative transfer: I. Non-LTE atomic and molecular line modelling.
Monthly Notices of the Royal Astronomical Society
, 492
(2)
pp. 1812-1826.
10.1093/mnras/stz3557.
|
|
|
De Lange, A-M;
Barth, C;
Kaufmann, T;
Anatürk, M;
Suri, S;
Ebmeier, K;
Westlye, L;
(2020)
History of childbirths relates to region-specific brain aging patterns in middle and older-aged women.
BioRxiv: Cold Spring Harbor, NY, USA.
|
|
de Lange, A-MG;
Anatürk, M;
Suri, S;
Kaufmann, T;
Cole, JH;
Griffanti, L;
Zsoldos, E;
... Ebmeier, KP; + view all
(2020)
Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study.
Neuroimage
, 222
, Article 117292. 10.1016/j.neuroimage.2020.117292.
(In press).
|
|
|
De Lange, A-MG;
Barth, C;
Kaufmann, T;
Anatürk, M;
Suri, S;
Ebmeier, KP;
Westlye, LT;
(2020)
The maternal brain: Region‐specific patterns of brain aging are traceable decades after childbirth.
Human Brain Mapping
, 41
(16)
pp. 4718-4729.
10.1002/hbm.25152.
|
|
|
de Lange, A-MG;
Cole, JH;
(2020)
Commentary: Correction procedures in brain-age prediction.
NeuroImage: Clinical
, 26
, Article 102229. 10.1016/j.nicl.2020.102229.
|
|
|
de Montigny, Denis;
(2020)
Bayesian Networks for Asset Management and Financial Risk.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Deakin, C;
Odedeyi, T;
Liu, Z;
(2020)
Dual Frequency Comb Photonic Analog to Digital Conversion.
In:
Proceedings of the 2020 IEEE Photonics Society Summer Topicals Meeting Series (SUM).
The Institute of Electrical and Electronics Engineers (IEEE): 2020 IEEE Photonics Society Summer Topicals Meeting Series (SUM).
|
|
|
Decin, L;
Montarges, M;
Richards, AMS;
Gottlieb, CA;
Homan, W;
McDonald, I;
El Mellah, I;
... Yates, J; + view all
(2020)
(Sub)stellar companions shape the winds of evolved stars.
Science
, 369
(6510)
pp. 1497-1500.
10.1126/science.abb1229.
|
|
Demnitz, N;
Anatürk, M;
Allan, CL;
Filippini, N;
Griffanti, L;
Mackay, CE;
Mahmood, A;
... Ebmeier, KP; + view all
(2020)
Association of trajectories of depressive symptoms with vascular risk, cognitive function and adverse brain outcomes: The Whitehall II MRI sub-study.
Journal of Psychiatric Research
, 131
pp. 85-93.
10.1016/j.jpsychires.2020.09.005.
|
|
Denevi, G;
Pontil, M;
Ciliberto, C;
(2020)
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning.
In:
Proceedings of NeurIPS 2020: Thirty-fourth Conference on Neural Information Processing Systems.
Neural Information Processing Systems: Virtual conference.
|
|
Denevi, G;
Pontil, M;
Stamos, D;
(2020)
Online Parameter-Free Learning of Multiple Low Variance Tasks.
In: Adams, RP and Gogate, V, (eds.)
Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI).
AUAI Press: Virtual conference.
|
|
|
Dervovic, Danial;
(2020)
Quantum Computation, Markov Chains and Combinatorial Optimisation.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Dewez, F;
Guedj, B;
Vandewalle, V;
(2020)
From industry-wide parameters to aircraft-centric on-flight inference: Improving aeronautics performance prediction with machine learning.
Data-Centric Engineering
, 1
, Article e11. 10.1017/dce.2020.12.
|
|
|
Di Martino, S;
Ferrucci, F;
Gravino, C;
Sarro, F;
(2020)
Assessing the effectiveness of approximate functional sizing approaches for effort estimation.
Information and Software Technology
, 123
, Article 106308. 10.1016/j.infsof.2020.106308.
|
|
Dimitrakakis, E;
Dwyer, G;
Lindenroth, L;
Aylmore, H;
Dorward, N;
Marcus, H;
Stoyanov, D;
(2020)
Towards the Development and Evaluation of a Handle Prototype for a Handheld Robotic Neurosurgical Instrument.
In:
(Proceedings) Conference on New Technologies for Computer and Robot Assisted Surgery.
CRAS
|
|
Dmitrenko, D;
Maggioni, E;
Brianza, G;
Holthausen, BE;
Walker, BN;
Obrist, M;
(2020)
CARoma Therapy: Pleasant Scents Promote Safer Driving, Better Mood, and Improved Well-Being in Angry Drivers.
In:
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems.
(pp. p. 49).
ACM
|
|
|
Dodier-Lazaro, Steve;
(2020)
Appropriate security and confinement technologies: methods for the design of appropriate security and a case study on confinement technologies for desktop computers.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Dreiman, GHS;
Bictash, M;
Fish, PV;
Griffin, L;
Svensson, F;
(2020)
Changing the HTS Paradigm: AI-Driven Iterative Screening for Hit Finding.
SLAS Discovery
10.1177/2472555220949495.
(In press).
|
|
|
Dromey, BP;
Ahmed, S;
Vasconcelos, F;
Mazomenos, E;
Kunpalin, Y;
Ourselin, S;
Deprest, J;
... Peebles, DM; + view all
(2020)
Dimensionless Squared Jerk - An Objective Differential to Assess Experienced and Novice Probe Movement in Obstetric Ultrasound.
Prenatal Diagnosis
, 41
(2)
pp. 271-277.
10.1002/pd.5855.
|
|
|
Du, M;
Cowen-Rivers, AI;
Wen, Y;
Sakulwongtana, P;
Wang, J;
Brorsson, M;
State, R;
(2020)
Know your enemies and know yourself in the real-time bidding function optimisation.
In:
Proceedings of the 2019 International Conference on Data Mining Workshops (ICDMW).
(pp. pp. 973-981).
IEEE: Beijing, China.
|
|
|
Dwyer, George;
(2020)
Robotic Actuation for Fetoscopic Interventions.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Dymerska, B;
Eckstein, K;
Bachrata, B;
Siow, B;
Trattnig, S;
Shmueli, K;
Robinson, SD;
(2020)
Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO).
Magnetic Resonance in Medicine
10.1002/mrm.28563.
(In press).
|
|
E
|
Eberle, H;
Zhang, B;
Mathibela, B;
Walker, G;
Teodorescu, C;
Holloway, C;
Carlson, T;
(2020)
Autonomy vs. Safety in Shared Control Crowd Navigation.
In:
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, Ro-Man 2020.
29th IEEE International Conference on Robot and Human Interactive Communication, Ro-Man 2020: Naples, Italy.
(In press).
|
|
|
Ebuenyi, ID;
Smith, EM;
Holloway, C;
Jensen, R;
D'Arino, L;
MacLachlan, M;
(2020)
COVID-19 as social disability: the opportunity of social empathy for empowerment.
BMJ Global Health
, 5
(8)
, Article e003039. 10.1136/bmjgh-2020-003039.
|
|
|
Edwards, P;
Chand, M;
Birlo, M;
Stoyanov, D;
(2020)
The Challenge of Augmented Reality in Surgery.
In: Atallah, S, (ed.)
Digital Surgery.
(pp. 121-135).
Springer: Cham, Switzerland.
(In press).
|
|
Edwards, PJ;
Colleoni, E;
Sridhar, A;
Kelly, JD;
Stoyanov, D;
(2020)
Visual kinematic force estimation in robot-assisted surgery–application to knot tying.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
10.1080/21681163.2020.1833368.
(In press).
|
|
Egede, JO;
Song, S;
Olugbade, TA;
Wang, C;
Williams, ACDC;
Meng, H;
Aung, M;
... Bianchi-Berthouze, N; + view all
(2020)
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions.
In: Struc, V and GomezFernandez, F, (eds.)
(Proceedings) 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG).
(pp. pp. 849-856).
IEEE
|
|
|
Escovedo, T;
Koshiyama, A;
Da Cruz, AA;
Vellasco, M;
(2020)
Neuroevolutionary learning in nonstationary environments.
Applied Intelligence
10.1007/s10489-019-01591-5.
(In press).
|
|
|
Essmann, CL;
Martinez-Martinez, D;
Pryor, R;
Leung, K-Y;
Krishnan, KB;
Lui, PP;
Greene, NDE;
... Cabreiro, F; + view all
(2020)
Mechanical properties measured by atomic force microscopy define health biomarkers in ageing C. elegans.
Nature Communications
, 11
(1)
, Article 1043. 10.1038/s41467-020-14785-0.
|
|
F
|
Fan, A;
Urbanek, J;
Ringshia, P;
Dinan, E;
Qian, E;
Karamcheti, S;
Prabhumoye, S;
... Weston, J; + view all
(2020)
Generating Interactive Worlds with Text.
Proceedings of the AAAI Conference on Artificial Intelligence
, 34
(2)
pp. 1693-1700.
10.1609/aaai.v34i02.5532.
|
|
Feick, M;
Bateman, S;
Tang, A;
Miede, A;
Marquardt, N;
(2020)
Tangi: Tangible Proxies for Embodied Object Exploration and Manipulation in Virtual Reality.
In:
Proceedings of 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
(pp. pp. 195-206).
IEEE: Recife/Porto de Galinhas, Brazil.
|
|
|
Fernández Camporro, M;
Marquardt, N;
(2020)
Live Sketchnoting Across Platforms: Exploring the Potential and Limitations of Analogue and Digital Tools.
In:
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems.
Association for Computing Machinery (ACM): Honolulu, HI, USA.
|
|
|
Figini, M;
Castellano, A;
Pieri, V;
Bouyagoub, S;
Falini, A;
Alexander, D;
Cercignani, M;
(2020)
Estimation of the vascular fraction in brain tumors by VERDICT correlated with Perfusion MRI.
In:
(Proceedings) ISMRM & SMRT Virtual Conference & Exhibition 08-14 August 2020.
(In press).
|
|
Figini, M;
Zhou, K;
Pan, L;
Sun, C;
Wang, B;
Hu, S;
Yang, J;
... Zhang, Z; + view all
(2020)
Transcatheter intra-arterial perfusion (TRIP)-MRI biomarkers help detect immediate response to irreversible electroporation of rabbit VX2 liver tumor.
Magnetic Resonance in Medicine
, 84
(1)
pp. 365-374.
10.1002/mrm.28104.
|
|
Fiorucci, M;
Khoroshiltseva, M;
Pontil, M;
Traviglia, A;
Del Bue, A;
James, S;
(2020)
Machine Learning for Cultural Heritage: A Survey.
Pattern Recognition Letters
, 133
pp. 102-108.
10.1016/j.patrec.2020.02.017.
|
|
|
Firoozye, N;
Koshiyama, AS;
(2020)
Optimal dynamic strategies on Gaussian returns.
Journal of Investment Strategies
, 9
(1)
pp. 23-53.
10.21314/JOIS.2020.118.
|
|
Firth, NC;
Primativo, S;
Brotherhood, E;
Young, AL;
Yong, KXX;
Crutch, SJ;
Alexander, DC;
(2020)
Sequences of cognitive decline in typical Alzheimer's disease and posterior cortical atrophy estimated using a novel event‐based model of disease progression.
Alzheimer's & Dementia
10.1002/alz.12083.
(In press).
|
|
|
FitzGerald, THB;
Penny, WD;
Bonnici, HM;
Adams, RA;
(2020)
Retrospective Inference as a Form of Bounded Rationality, and Its Beneficial Influence on Learning.
Frontiers in Artificial Intelligence
, 3
, Article 2. 10.3389/frai.2020.00002.
|
|
|
Fleck, R;
Cecchinato, ME;
Cox, AL;
Harrison, D;
Marshall, P;
Na, JH;
Skatova, A;
(2020)
Life-swap: how discussions around personal data can motivate desire for change.
Personal and Ubiquitous Computing
10.1007/s00779-020-01372-9.
(In press).
|
|
|
Foti, S;
Koo, B;
Dowrick, T;
Ramalhinho, J;
Allam, M;
Davidson, B;
Stoyanov, D;
(2020)
Intraoperative Liver Surface Completion with Graph Convolutional VAE.
In:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis.
(pp. pp. 198-207).
Springer: Cham, Switzerland.
|
|
|
Fradkin, I;
Adams, RA;
Parr, T;
Roiser, JP;
Huppert, JD;
(2020)
Searching for an anchor in an unpredictable world: A computational model of obsessive compulsive disorder.
Psychological Review
10.1037/rev0000188.
(In press).
|
|
|
Friston, S;
Foley, J;
(2020)
Low-Latency Rendering With Dataflow Architectures.
IEEE Computer Graphics and Applications
, 40
(3)
pp. 94-104.
10.1109/MCG.2020.2980183.
|
|
|
Fritz, T;
Westerbaan, B;
(2020)
The Universal Property of Infinite Direct Sums in C∗ -Categories and W∗ -Categories.
Applied Categorical Structures
, 28
pp. 355-365.
10.1007/s10485-019-09583-9.
|
|
Fu, Y;
Brown, NM;
Saeed, SU;
Casamitjana, A;
Baum, ZMC;
Delaunay, R;
Yang, Q;
... Hu, Y; + view all
(2020)
DeepReg: a deep learning toolkit for medical image registration.
The Journal of Open Source Software
, 5
(55)
, Article 2705. 10.21105/joss.02705.
|
|
|
Furniss, D;
Nelson, D;
Habli, I;
White, S;
Elliott, M;
Reynolds, N;
Sujan, M;
(2020)
Using FRAM to explore sources of performance variability in intravenous infusion administration in ICU: A non-normative approach to systems contradictions.
Applied Ergonomics
, 86
, Article 103113. 10.1016/j.apergo.2020.103113.
|
G
|
Gabel, MC;
Broad, RJ;
Young, AL;
Abrahams, S;
Bastin, ME;
Menke, RAL;
Al-Chalabi, A;
... Cercignani, M; + view all
(2020)
Evolution of white matter damage in amyotrophic lateral sclerosis.
Annals of Clinical and Translational Neurology
10.1002/acn3.51035.
(In press).
|
|
|
Galovic, M;
De Tisi, J;
McEvoy, AW;
Miserocchi, A;
Vos, SB;
Borzi, G;
Cueva Rosillo, J;
... Koepp, MJ; + view all
(2020)
Resective surgery prevents progressive cortical thinning in temporal lobe epilepsy.
Brain
10.1093/brain/awaa284.
(In press).
|
|
Ganguly, PS;
Lucka, F;
Hupkes, HJ;
Batenburg, KJ;
(2020)
Atomic Super-Resolution Tomography.
In:
Combinatorial Image Analysis.
(pp. pp. 45-61).
Springer: Cham, Switzerland.
|
|
|
Gao, C;
Zeng, J;
Sarro, F;
Lo, D;
King, I;
Lyu, MR;
(2020)
Do users care about ad’s performance costs? Exploring the effects of the performance costs of in-app ads on user experience.
Information and Software Technology
10.1016/j.infsof.2020.106471.
|
|
García-Peraza-Herrera, LC;
Everson, M;
Lovat, L;
Wang, H-P;
Wang, WL;
Haidry, R;
Stoyanov, D;
... Vercauteren, T; + view all
(2020)
Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology.
International Journal of Computer Assisted Radiology and Surgery
10.1007/s11548-020-02127-w.
(In press).
|
|
|
Garfield, S;
Furniss, D;
Husson, F;
Etkind, M;
Williams, M;
Norton, J;
Ogunleye, D;
... Franklin, BD; + view all
(2020)
How can patient-held lists of medication enhance patient safety? A mixed-methods study with a focus on user experience.
BMJ Quality and Safety
10.1136/bmjqs-2019-010194.
(In press).
|
|
|
Gaudelet, T;
Malod-Dognin, N;
Sánchez-Valle, J;
Pancaldi, V;
Valencia, A;
Pržulj, N;
(2020)
Unveiling new disease, pathway, and gene associations via multi-scale neural network.
PLoS One
, 15
(4)
, Article e0231059. 10.1371/journal.pone.0231059.
|
|
|
Gavidia-Calderon, C;
Beltrán Castañon, C;
(2020)
Isula: A java framework for ant colony algorithms.
SoftwareX
, 11
, Article 100400. 10.1016/j.softx.2020.100400.
|
|
|
Gavidia-Calderon, C;
Sarro, F;
Harman, M;
Barr, ET;
(2020)
Game-theoretic analysis of development practices: Challenges and opportunities.
Journal of Systems and Software
, 159
, Article 110424. 10.1016/j.jss.2019.110424.
|
|
Gavidia-Calderon, Carlos;
(2020)
A Game-Theoretic Approach to Software Process Improvement.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Georgiou, N;
Morgan, RM;
French, JC;
(2020)
Conceptualising, evaluating and communicating uncertainty in forensic science: Identifying commonly used tools through an interdisciplinary configurative review.
Science & Justice
, 60
(4)
pp. 313-336.
10.1016/j.scijus.2020.04.002.
|
|
Gherardini, M;
Mazomenos, E;
Menciassi, A;
Stoyanov, D;
(2020)
Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.
Computer Methods and Programs in Biomedicine
, 192
, Article 105420. 10.1016/j.cmpb.2020.105420.
|
|
|
Gimeno, H;
Adlam, T;
(2020)
Protocol: Using single-case experimental design to evaluate whole-body dynamic seating on activity, participation, and quality of life in dystonic cerebral palsy.
Healthcare
, 8
(1)
, Article 11. 10.3390/healthcare8010011.
|
|
|
Gold, NE;
Krinke, J;
(2020)
Ethical Mining – A Case Study on MSR Mining Challenges.
In:
Proceedings of 17th International Conference on Mining Software Repositories (MSR ’20).
Association for Computing Machinery (ACM): Online (virtual conference).
(In press).
|
|
Gold, NE;
Wang, C;
Olugbade, T;
Berthouze, N;
Williams, A;
(2020)
P(l)aying Attention: Multi-Modal, Multi-Temporal Music Control.
In:
Proceedings - International Conference on New Interfaces for Musical Expression.
NIME: Birmingham, UK.
(In press).
|
|
Goncharov, S;
Milius, S;
Silva, A;
(2020)
Toward a Uniform Theory of Effectful State Machines.
ACM Transactions on Computational Logic
, 21
(3)
, Article 23. 10.1145/3372880.
|
|
|
Gong, T;
Tong, Q;
He, H;
Sun, Y;
Zhong, J;
Zhang, H;
(2020)
MTE-NODDI: Multi-TE NODDI for disentangling non-T2-weighted signal fractions from compartment-specific T2 relaxation times.
NeuroImage
, 217
, Article 116906. 10.1016/j.neuroimage.2020.116906.
|
|
|
Gong, T;
Tong, Q;
Li, Z;
He, H;
Zhang, H;
Zhong, J;
(2020)
Deep learning‐based method for reducing residual motion effects in diffusion parameter estimation.
Magnetic Resonance in Medicine
10.1002/mrm.28544.
(In press).
|
|
Gonzalez-Franco, M;
Steed, A;
Hoogendyk, S;
Ofek, E;
(2020)
Using Facial Animation to Increase the Enfacement Illusion and Avatar Self-Identification.
IEEE Transactions on Visualization and Computer Graphics
10.1109/TVCG.2020.2973075.
(In press).
|
|
|
Goodkin, O;
Pemberton, HG;
Vos, SB;
Prados, F;
Das, RK;
Moggridge, J;
De Blasi, B;
... Barkhof, F; + view all
(2020)
Clinical evaluation of automated quantitative MRI reports for assessment of hippocampal sclerosis.
European Radiology
10.1007/s00330-020-07075-2.
(In press).
|
|
|
Gozman, D;
Liebenau, J;
Aste, T;
(2020)
A Case Study of Using Blockchain Technology in Regulatory Technology.
MIS Quarterly Executive
, 19
(1)
, Article 4. 10.17705/2msqe.00023.
|
|
Graham, NSN;
Jolly, A;
Zimmerman, K;
Bourke, NJ;
Scott, G;
Cole, JH;
Schott, JM;
(2020)
Diffuse axonal injury predicts neurodegeneration after moderate–severe traumatic brain injury.
Brain
10.1093/brain/awaa316.
(In press).
|
|
Granados, A;
Lucena, O;
Vakharia, V;
Miserocchi, A;
McEvoy, AW;
Vos, SB;
Rodionov, R;
... Ourselin, S; + view all
(2020)
Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery.
In:
Proceedings of the 17th International Symposium on Biomedical Imaging (ISBI) IEEE 2020.
(pp. pp. 674-677).
Institute of Electrical and Electronics Engineers (IEEE)
|
|
|
Granados, A;
Perez-Garcia, F;
Schweiger, M;
Vakharia, V;
Vos, SB;
Miserocchi, A;
McEvoy, AW;
... Ourselin, S; + view all
(2020)
A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation.
International Journal of Computer Assisted Radiology and Surgery
10.1007/s11548-020-02284-y.
(In press).
|
|
|
Grazzi, R;
Franceschi, L;
Pontil, M;
Salzo, S;
(2020)
On the Iteration Complexity of Hypergradient Computation.
In: Daumé III, H and Singh, A, (eds.)
Proceedings of the 37th International Conference on Machine Learning.
(pp. pp. 3706-3716).
Proceedings of Machine Learning Research (PMLR): Virtual conference.
|
|
|
Greener, JG;
Selvaraj, J;
Ward, BJ;
(2020)
BioStructures.jl: read, write and manipulate macromolecular structures in Julia.
Bioinformatics
, 36
(14)
pp. 4206-4207.
10.1093/bioinformatics/btaa502.
|
|
Gregory, S;
Johnson, E;
Byrne, L;
Rodrigues, F;
Henderson, A;
Moss, J;
Thomas, D;
... Wild, E; + view all
(2020)
Characterising white matter in Huntington's disease.
Movement Disorders Clinical Practice
, 7
(1)
pp. 52-60.
10.1002/mdc3.12866.
|
|
|
Griffiths, D;
Boehm, J;
Ritschel, T;
(2020)
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss.
In:
Computer Vision – ECCV 2020.
(pp. pp. 70-85).
Springer: Cham, Switzerland.
|
|
|
Grohe, M;
Kaminski, BL;
Katoen, J-P;
Lindner, P;
(2020)
Generative Datalog with Continuous Distributions.
In:
Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS’20).
(pp. pp. 347-360).
ACM
|
|
Gruen, R;
Ofek, E;
Steed, A;
Gal, R;
Sinclair, M;
Gonzalez-Franco, M;
(2020)
Measuring System Visual Latency through Cognitive Latency on Video See-Through AR devices.
In:
(Proceedings) 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).
(pp. pp. 791-799).
IEEE: Atlanta, GA, USA.
|
|
|
Grussu, F;
Battiston, M;
Veraart, J;
Schneider, T;
Cohen-Adad, J;
Shepherd, TM;
Alexander, DC;
... Gandini Wheeler-Kingshott, CAM; + view all
(2020)
Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising.
Neuroimage
, 217
, Article 116884. 10.1016/j.neuroimage.2020.116884.
|
|
|
Grussu, F;
Blumberg, S;
Battiston, M;
Ianus, A;
Singh, S;
Gong, F;
Whitaker, H;
... Alexander, D; + view all
(2020)
SARDU-Net: a new method for model-free, data-driven experiment design in quantitative MRI.
In:
Proceedings of the International Society for Magnetic Resonance in Medicine.
(pp. p. 1035).
ISMRM
|
|
Gu, T;
Silva, A;
Zanasi, F;
(2020)
Hennessy-Milner Results for Probabilistic PDL.
In:
Electronic Notes in Theoretical Computer Science.
(pp. pp. 283-304).
Elsevier: Duivendrecht, Netherlands.
|
|
|
Gudmundsson, E;
Straus, CM;
Li, F;
Armato, SG;
(2020)
Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion.
Journal of Medical Imaging
, 7
(1)
, Article 012705. 10.1117/1.JMI.7.1.012705.
|
|
|
Guedj, B;
Desikan, BS;
(2020)
Kernel-Based Ensemble Learning in Python.
Information
, 11
(2)
, Article 63. 10.3390/info11020063.
|
|
|
Guedj, B;
Rengot, J;
(2020)
Non-linear Aggregation of Filters to Improve Image Denoising.
In: Arai, K and Kapoor, S and Bhatia, R, (eds.)
SAI 2020: Intelligent Computing.
(pp. pp. 314-327).
Springer: London, UK.
|
|
Guizzo, G;
Sarro, F;
Harman, M;
(2020)
Cost Measures Matter for Mutation Testing Study Validity.
In:
Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software EngineeringNovember 2020 (ESEC/FSE 2020).
ACM: Newyork, USA.
|
|
|
Guizzo, G;
Sarro, F;
Krinke, J;
Vergilio, SR;
(2020)
Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies.
IEEE Transactions on Software Engineering
10.1109/TSE.2020.3002496.
(In press).
|
|
Gultchin, L;
Kusner, M;
Kanade, V;
Silva, R;
(2020)
Differentiable Causal Backdoor Discovery.
In: Chiappa, S and Calandra, R, (eds.)
Proceedings of the International Conference on Artificial Intelligence and Statistics.
PMLR: Online Conference.
|
|
|
Guo, S;
Lim, SL;
Bentley, PJ;
(2020)
Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork.
In:
Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI) 2020.
(pp. pp. 109-116).
The Institute of Electrical and Electronics Engineers (IEEE)
|
|
|
Gutmann, Andreas;
(2020)
An Analysis of Computer Systems for the Secure Creation and Verification of User Instructions.
Doctoral thesis (Ph.D), UCL (University College London).
|
H
|
Haase, C;
(2020)
Approaching Arithmetic Theories with Finite-State Automata.
In: Leporati, A and Martín-Vide, C and Shapira, D and Zandron, C, (eds.)
International Conference on Language and Automata Theory and Applications LATA 2020: Language and Automata Theory and Applications.
(pp. pp. 33-43).
Springer: Milan, Italy.
|
|
Haddouche, M;
Guedj, B;
Rivasplata, O;
Shawe-Taylor, J;
(2020)
Upper and Lower Bounds on the Performance of Kernel PCA.
arXiv: Ithaca, NY, USA.
|
|
|
Hajas, D;
Pittera, D;
Nasce, A;
Georgiou, O;
Obrist, M;
(2020)
Mid-Air Haptic Rendering of 2D Geometric Shapes with a Dynamic Tactile Pointer.
IEEE Transactions on Haptics
, 13
(1)
10.1109/TOH.2020.2966445.
|
|
|
Haley, J;
Wearne, A;
Copland, C;
Ortiz, E;
Bond, A;
Van Lent, M;
Smith, R;
(2020)
Cluster analysis of deep embeddings in real-time strategy games.
In:
Proceedings of the Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
(pp. 114131I -114131I).
SPIE: Online Only.
|
|
|
Han, D;
Ragkhitwetsagul, C;
Krinke, J;
Paixao, M;
Rosa, G;
(2020)
Does code review really remove coding convention violations?
In:
Proceeding of the SCAM 2020 : IEEE International Working Conference on Source Code Analysis and Manipulation.
(pp. pp. 43-53).
The Institute of Electrical and Electronics Engineers (IEEE): Adelaide, SA, Australia.
|
|
Han, LKM;
Dinga, R;
Hahn, T;
Ching, CRK;
Eyler, LT;
Aftanas, L;
Aghajani, M;
... Schmaal, L; + view all
(2020)
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group.
Molecular Psychiatry
10.1038/s41380-020-0754-0.
(In press).
|
|
|
Han, M;
Zhang, L;
Wang, J;
Pan, W;
(2020)
Actor-Critic Reinforcement Learning for Control With Stability Guarantee.
IEEE Robotics and Automation Letters
, 5
(4)
pp. 6217-6224.
10.1109/LRA.2020.3011351.
|
|
|
Hänninen, N;
Pulkkinen, A;
Leino, A;
Tarvainen, T;
(2020)
Application of diffusion approximation in quantitative photoacoustic tomography in the presence of low-scattering regions.
Journal of Quantitative Spectroscopy and Radiative Transfer
, 250
, Article 107065. 10.1016/j.jqsrt.2020.107065.
|
|
Hark, M;
Kaminski, BL;
Giesl, J;
Katoen, J-P;
(2020)
Aiming Low Is Harder -- Induction for Lower Bounds in Probabilistic Program Verification.
Proceedings of the ACM on Programming Languages
, 4
(POPL)
, Article 37. 10.1145/3371105.
|
|
|
Hartmanns, A;
Kaminski, BL;
(2020)
Optimistic Value Iteration.
In:
International Conference on Computer Aided Verification CAV 2020: Computer Aided Verification.
(pp. pp. 488-511).
Springer: Los Angeles, CA, USA (online).
|
|
|
Hatton, SN;
Huynh, KH;
Bonilha, L;
Abela, E;
Alhusaini, S;
Altmann, A;
Alvim, MKM;
... McDonald, CR; + view all
(2020)
White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study.
Brain
, 143
(8)
pp. 2454-2473.
10.1093/brain/awaa200.
|
|
Hauptmann, A;
Adler, J;
Arridge, SR;
Öktem, O;
(2020)
Multi-Scale Learned Iterative Reconstruction.
IEEE Transactions on Computational Imaging
, 6
pp. 843-856.
10.1109/TCI.2020.2990299.
|
|
|
Hauptmann, A;
Cox, B;
(2020)
Deep learning in photoacoustic tomography: Current approaches and future directions.
Journal of Biomedical Optics
, 25
(11)
, Article 112903. 10.1117/1.JBO.25.11.112903.
|
|
|
He, Q;
Bano, S;
Ahmad, OF;
Yang, B;
Chen, X;
Valdastri, P;
Lovat, LB;
... Zuo, S; + view all
(2020)
Deep learning-based anatomical site classification for upper gastrointestinal endoscopy.
International Journal of Computer Assisted Radiology and Surgery
, 15
pp. 1085-1094.
10.1007/s11548-020-02148-5.
|
|
|
He, Z;
Li, J;
Liu, D;
He, H;
Barber, D;
(2020)
Tracking by animation: Unsupervised learning of multi-object attentive trackers.
In:
Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(pp. pp. 1318-1327).
IEEE: Long Beach, CA, USA.
|
|
|
Heerdt, GV;
Kappé, T;
Rot, J;
Sammartino, M;
Silva, A;
(2020)
A Categorical Framework for Learning Generalised Tree Automata.
ArXiv
(In press).
|
|
Henriques, RN;
Palombo, M;
Jespersen, SN;
Shemesh, N;
Lundell, H;
Ianuş, A;
(2020)
Double diffusion encoding and applications for biomedical imaging.
Journal of Neuroscience Methods
, Article 108989. 10.1016/j.jneumeth.2020.108989.
(In press).
|
|
Henzler, P;
Mitra, N;
Ritschel, T;
(2020)
Escaping plato's cave: 3D shape from adversarial rendering.
In:
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
(pp. pp. 9983-9992).
IEEE: Seoul, South Korea.
|
|
|
Henzler, P;
Mitra, NJ;
Ritschel, T;
(2020)
Learning a Neural 3D Texture Space from 2D Exemplars.
In:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(pp. pp. 8353-8361).
IEEE: Seattle, WA, USA.
|
 |
|
Herbster, M;
Pasteris, S;
Tse, L;
(2020)
Online multitask learning with long-term memory.
In:
Advances in Neural Information Processing Systems 33 (NeurIPS 2020).
|
|
|
Hicks, A;
Murdoch, S;
(2020)
Transparency Enhancing Technologies to Make Security Protocols Work for Humans.
In:
Cambridge International Workshop on Security Protocols Security Protocols 2019: Security Protocols XXVII.
(pp. pp. 3-10).
Springer: Cambridge, UK.
|
|
Himonides, E;
Purves, R;
Gold, N;
(2020)
Building a bridge between software engineering and music with construction blocks: A pilot project.
Media Journal in Music Education
|
 |
|
Hithersay, R;
Baksh, RA;
Startin, CM;
Wijeratne, P;
Hamburg, S;
Carter, B;
LonDownS Consortium;
(2020)
Optimal age and outcome measures for Alzheimer's disease prevention trials in people with Down syndrome.
Alzheimer's & Dementia
10.1002/alz.12222.
(In press).
|
|
|
Hodgson, David;
(2020)
Mathematical modelling and cost-effectiveness of future RSV intervention strategies.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Homan, W;
Montarges, M;
Pimpanuwat, B;
Richards, AMS;
Wallstrom, SHJ;
Kervella, P;
Decin, L;
... Mueller, HSP; + view all
(2020)
ATOMIUM: A high-resolution view on the highly asymmetric wind of the AGB star pi(1)Gruis: I. First detection of a new companion and its effect on the inner wind.
Astronomy & Astrophysics
, 644
, Article A61. 10.1051/0004-6361/202039185.
|
|
|
Horsfall, HL;
Palmisciano, P;
Khan, DZ;
Muirhead, W;
Koh, CH;
Stoyanov, D;
Marcus, HJ;
(2020)
Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: an International Two-Stage Cross-sectional Survey.
World Neurosurgery
10.1016/j.wneu.2020.10.171.
(In press).
|
|
|
Howes, OD;
Hird, EJ;
Adams, RA;
Corlett, PR;
McGuire, P;
(2020)
Aberrant Salience, Information Processing, and Dopaminergic Signaling in People at Clinical High Risk for Psychosis.
Biological Psychiatry
, 88
(4)
pp. 304-314.
10.1016/j.biopsych.2020.03.012.
|
|
Hu, Y;
Ahmed, UZ;
Mechtaev, S;
Leong, B;
Roychoudhury, A;
(2020)
Re-factoring based program repair applied to programming assignments.
In:
Proceedings of 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE).
(pp. pp. 388-398).
IEEE: San Diego, CA, USA.
|
|
|
Hu, Y;
Jacob, J;
Parker, GJM;
Hawkes, DJ;
Hurst, JR;
Stoyanov, D;
(2020)
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic.
Nature Machine Intelligence
, 2
pp. 298-300.
10.1038/s42256-020-0185-2.
|
|
Hua, L;
Recasens, M;
Grent-T-Jong, T;
Adams, RA;
Gross, J;
Uhlhaas, PJ;
(2020)
Investigating cortico-subcortical circuits during auditory sensory attenuation: A combined magnetoencephalographic and dynamic causal modeling study.
Human Brain Mapping
, 41
(15)
pp. 4419-4430.
10.1002/hbm.25134.
|
|
|
Huang, Y;
Rodriguez-Echavarria, K;
Julier, S;
(2020)
Engaging audiences with Cultural Heritage through Augmented Reality (AR) Enhanced Pop-Up Books.
In: Spagnuolo, M and Melero, FJ, (eds.)
Eurographics Workshop on Graphics and Cultural Heritage.
(pp. pp. 53-62).
The Eurographics Association
|
|
|
Hunter, A;
(2020)
Generating instantiated argument graphs from probabilistic information.
In:
Frontiers in Artificial Intelligence and Applications.
(pp. pp. 769-776).
IOS Press
|
|
|
Hunter, A;
(2020)
Learning constraints for the epistemic graphs approach to argumentation.
In:
Computational Models of Argument.
(pp. pp. 239-250).
IOS Press
|
|
|
Hunter, A;
(2020)
Reasoning with inconsistent knowledge using the epistemic approach to probabilistic argumentation.
In:
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning.
(pp. pp. 496-505).
IJCAI Organization: Rhodes, Greece.
|
|
Hunter, A;
Noor, K;
(2020)
Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation.
In:
Proceedings of the 34th AAAI Conference on Artificial Intelligence - AAAI Technical Track: Knowledge Representation and Reasoning.
AAAI Press: Palo Alto, California USA.
|
|
Hunter, A;
Polberg, S;
Thimm, M;
(2020)
Epistemic graphs for representing and reasoning with positive and negative influences of arguments.
Artificial Intelligence
, 281
, Article 103236. 10.1016/j.artint.2020.103236.
|
I
|
Ianus, A;
Santiago, I;
Galzerano, A;
Montesinos, P;
Loucao, N;
Sanchez-Gonzalez, J;
Alexander, DC;
... Shemesh, N; + view all
(2020)
Higher-order diffusion MRI characterization of mesorectal lymph nodes in rectal cancer.
Magnetic Resonance in Medicine
, 84
(1)
pp. 348-364.
10.1002/mrm.28102.
|
|
Ibrahim, M;
Haworth, J;
Christie, N;
Cheng, T;
Hailes, S;
(2020)
Cycling near misses: A review of the current methods, challenges and the potential of an AI-embedded system.
Transport Reviews
10.1080/01441647.2020.1840456.
(In press).
|
|
Ilgaz, MA;
Lavric, A;
Odedeyi, T;
Darwazeh, I;
Batagelj, B;
(2020)
Adjustable testing setup for a single-loop optoelectronic oscillator with an electrical bandpass filter.
Turkish Journal of Electrical Engineering and Computer Sciences
, 2020
(28)
pp. 1293-1302.
|
|
|
Innamorati, C;
Russell, B;
Kaufman, D;
Mitra, N;
(2020)
Neural re-simulation for generating bounces in single images.
In:
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
(pp. pp. 8718-8727).
IEEE: Seoul, South Korea.
|
|
|
Inoue, N;
Stenetorp, P;
Inui, K;
(2020)
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason.
In:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
(pp. pp. 6740-6750).
Association for Computational Linguistics: Seattle, WA, USA.
|
|
|
Ito, K;
Jin, B;
(2020)
Regularized linear inversion with randomized singular value decomposition.
In:
Mathematical and Numerical Approaches for Multi-Wave Inverse Problems.
(pp. 45-72).
Springer: Cham, Switzerland.
|
|
Iyengar, K;
Dwyer, G;
Stoyanov, D;
(2020)
Investigating exploration for deep reinforcement learning of concentric tube robot control.
International Journal of Computer Assisted Radiology and Surgery
, 15
pp. 1157-1165.
10.1007/s11548-020-02194-z.
|
|
|
Iyengar, K;
Stoyanov, D;
(2020)
Deep Reinforcement Learning for Concentric Tube Robot Control with Goal Based Curriculum Reward.
In:
Proceedings of the 10th Conference on New Technologies for Computer/Robot Assisted Surgery (CRAS 2020).
(pp. pp. 60-61).
Computer-Assisted Radiology and Surgery: Barcelona, Spain.
|
|
J
|
Jacob, J;
Alexander, D;
Baillie, JK;
Berka, R;
Bertolli, O;
Blackwood, J;
Buchan, I;
... Joshi, I; + view all
(2020)
Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database.
European Respiratory Journal
10.1183/13993003.01809-2020.
(In press).
|
|
|
Jacobs, B;
Zanasi, F;
(2020)
The Logical Essentials of Bayesian Reasoning.
In:
Foundations of Probabilistic Programming.
(pp. 295-332).
Cambridge University Press
|
|
|
Jahan, N;
Barbareschi, G;
Jan, CA;
Mutuku, CM;
Rahman, N;
Austin, V;
Holloway, C;
(2020)
Inclusion and Independence: The impact of Mobile Technology on the Lives of Persons with Disabilities in Kenya and Bangladesh.
In:
2020 IEEE Global Humanitarian Technology Conference (GHTC).
IEEE: Seattle, WA, USA.
|
|
|
Jahn, T;
Jin, B;
(2020)
On the discrepancy principle for stochastic gradient descent.
Inverse Problems
, 36
(9)
, Article 095009. 10.1088/1361-6420/abaa58.
|
|
|
Janatka, M;
Marcus, HJ;
Dorward, NL;
Stoyanov, D;
(2020)
Surgical Video Motion Magnification with Suppression of Instrument Artefacts.
In: Martel, A and Abolmaesumi, P and Stoyanov, D and Mateus, D and Zuluaga, M and Zhou, SK and Racoceanu, D and Joskowicz, L, (eds.)
MICCAI 2020: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 353-363).
Springer: Lima, Peru.
|
|
|
Jani, Y;
Chumbley, GM;
Furniss, D;
Blandford, A;
Franklin, B;
(2020)
The potential role of smart infusion devices in preventing or contributing to medication administration errors: a descriptive study of two datasets.
Journal of Patient Safety
10.1097/PTS.0000000000000751.
(In press).
|
|
|
Javaherian, A;
Lucka, F;
Cox, BT;
(2020)
Refraction-corrected ray-based inversion for three-dimensional ultrasound tomography of the breast.
Inverse Problems
10.1088/1361-6420/abc0fc.
(In press).
|
|
|
Jelescu, IO;
Palombo, M;
Bagnato, F;
Schilling, KG;
(2020)
Challenges for biophysical modeling of microstructure.
Journal of Neuroscience Methods
, 344
, Article 108861. 10.1016/j.jneumeth.2020.108861.
|
|
|
Jenkins, PO;
Roussakis, A-A;
De Simoni, S;
Bourke, N;
Fleminger, J;
Cole, J;
Piccini, P;
(2020)
Distinct dopaminergic abnormalities in traumatic brain injury and Parkinson's disease.
Journal of Neurology, Neurosurgery and Psychiatry
, 91
(6)
pp. 631-637.
10.1136/jnnp-2019-321759.
|
|
|
Jia, R;
Martens, C;
Shekhar, M;
Pant, S;
Pellowe, GA;
Lau, AM;
Findlay, HE;
... Politis, A; + view all
(2020)
Hydrogen-deuterium exchange mass spectrometry captures distinct dynamics upon substrate and inhibitor binding to a transporter.
Nature Communications
, 11
, Article 6162. 10.1038/s41467-020-20032-3.
|
|
|
Jin, B;
Duong, MH;
(2020)
Wasserstein gradient flow formulation of the time-fractional Fokker–Planck equation.
Communications in Mathematical Sciences
, 18
(7)
pp. 1949-1975.
10.4310/CMS.2020.v18.n7.a6.
|
|
Jin, B;
Li, B;
Zhou, Z;
(2020)
Subdiffusion with Time-Dependent Coefficients: Improved Regularity and Second-Order Time Stepping.
Numerische Mathematik
, 145
pp. 883-913.
10.1007/s00211-020-01130-2.
|
|
Jin, B;
Zhou, Z;
(2020)
Incomplete Iterative Solution of the Subdiffusion Problem.
Numerische Mathematik
, 145
pp. 693-725.
10.1007/s00211-020-01128-w.
|
|
Jin, B;
Zou, J;
Zhou, Z;
(2020)
On the convergence of stochastic gradient descent for nonlinear inverse problems.
SIAM Journal on Optimization
, 30
(2)
pp. 1421-1450.
10.1137/19M1271798.
|
|
Jin, C;
Tanno, R;
Xu, M;
Mertzanidou, T;
Alexander, DC;
(2020)
Foveation for Segmentation of Mega-Pixel Histology Images.
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 561-571).
Springer Nature: Cham, Switzerland.
|
|
|
Jin, J;
Fang, Y;
Zhang, W;
Ren, K;
Zhou, G;
Xu, J;
Yu, Y;
... Gai, K; + view all
(2020)
A Deep Recurrent Survival Model for Unbiased Ranking.
In:
SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval.
(pp. pp. 29-38).
Association for Computing Machinery (ACM)
|
|
|
Jitkrittum, W;
Kanagawa, H;
Schölkopf, B;
(2020)
Testing goodness of fit of conditional density models with kernels.
In: Peters, J and Sontag, D, (eds.)
Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence.
(pp. pp. 221-230).
Proceedings of Machine Learning Research: Virtual.
|
|
|
Joffe, Leonid;
(2020)
Neural Networks and Search Landscapes for Software Testing.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Jones, D;
Wan, C;
(2020)
Protein function prediction is improved by creating synthetic feature samples with generative adversarial networks.
Nature Machine Intelligence
, 2
pp. 540-550.
10.1038/s42256-020-0222-1.
|
|
Jones, Geoffrey Alan;
(2020)
Computational Multispectral Endoscopy.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Jones, RK;
Barton, T;
Xu, X;
Wang, K;
Jiang, E;
Guerrero, P;
Mitra, NJ;
(2020)
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis.
ACM Transactions on Graphics
, 39
(6)
, Article 234. 10.1145/3414685.3417812.
|
|
|
Joshi, S;
Ramirez Herrera, R;
Springett, DN;
Weedon, BD;
Morgado Ramirez, D;
Holloway, C;
Dawes, H;
(2020)
Neuroergonomic Assessment of Wheelchair Control Using Mobile fNIRS.
IEEE Transactions on Neural Systems and Rehabilitation Engineering
, 28
(6)
pp. 1488-1496.
10.1109/TNSRE.2020.2992382.
|
|
Jørgensen, M;
Deisenroth, MP;
Salimbeni, H;
(2020)
Stochastic Differential Equations with Variational Wishart Diffusions.
In:
Proceedings of the International Conference on Machine Learning.
ICML Proceedings: Online (virtual conference).
|
|
Jørgensen, M;
Deisenroth, MP;
Salimbeni, H;
(2020)
Stochastic Differential Equations with VariationalWishart Diffusions.
In:
(Proceedings) Proceedings of the 37th International Conference on Machine Learning.
(pp. pp. 4941-4950).
PMLR
|
|
|
Jürgens, S;
Fernandes, C;
Kuffner, R;
(2020)
Experiencing Choreographed 4D Visuals in a VR Dance Installation.
Performance Research
, 25
(4)
pp. 94-97.
10.1080/13528165.2020.1842603.
|
K
|
Kaddour, J;
Sæmundsson, S;
Deisenroth, MP;
(2020)
Probabilistic Active Meta-Learning.
In: Larochelle, H and Ranzato, M and Hadsell, R and Balcan, M-F and Lin, H-T, (eds.)
Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020).
NeurIPS Proceedings: Virtual conference.
(In press).
|
|
|
Kaden, E;
Gyori, NG;
Rudrapatna, SU;
Barskaya, IY;
Dragonu, I;
Does, MD;
Jones, DK;
... Alexander, DC; + view all
(2020)
Microscopic susceptibility anisotropy imaging.
Magnetic Resonance in Medicine
10.1002/mrm.28303.
(In press).
|
|
|
Kadkhodamohammadi, A;
Sivanesan Uthraraj, N;
Giataganas, P;
Gras, G;
Kerr, K;
Luengo, I;
Oussedik, S;
(2020)
Towards video-based surgical workflow understanding in open orthopaedic surgery.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
10.1080/21681163.2020.1835552.
(In press).
|
|
Kakkar, LS;
Usman, M;
Arridge, S;
Kirkham, A;
Atkinson, D;
(2020)
Characterization of B₀-field fluctuations in prostate MRI.
Physics in Medicine & Biology
10.1088/1361-6560/abbc7f.
(In press).
|
|
|
Kanber, B;
Morrow, JM;
Klickovic, U;
Wastling, S;
Shah, S;
Fratta, P;
McDowell, AR;
... Thornton, JS; + view all
(2020)
Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases.
Neuroinformatics
10.1007/s12021-020-09485-5.
|
|
Kandappu, T;
Mehrotra, A;
Misra, A;
Musolesi, M;
Cheng, SF;
Meegahapola, L;
(2020)
PokeME: Applying context-driven notifications to increase worker engagement in mobile crowd-sourcing.
In:
CHIIR '20: Proceedings of the 2020 Conference on Human Information Interaction and Retrieval.
(pp. pp. 3-12).
ACM: Association for Computing Machinery: Vancouver, Canada.
|
|
|
Kapar, B;
Iori, G;
Gabbi, G;
Germano, G;
(2020)
Market microstructure, banks' behaviour and interbank spreads: evidence after the crisis.
Journal of Economic Interaction and Coordination
, 15
(1)
pp. 283-331.
10.1007/s11403-019-00248-3.
|
|
|
Kappé, T;
Brunet, P;
Silva, A;
Wagemaker, J;
Zanasi, F;
(2020)
Concurrent Kleene Algebra with Observations: From Hypotheses to Completeness.
In: Goubault-Larrecq, J and König, B, (eds.)
Foundations of Software Science and Computation Structures: 23rd International Conference, FOSSACS 2020, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Dublin, Ireland, April 25–30, 2020, Proceedings.
(pp. pp. 381-400).
Springer: Cham, Switzerland.
|
|
|
Kappé, Tobias;
(2020)
Concurrent Kleene Algebra: Completeness and Decidability.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Kaupinmäki, S;
Cox, B;
Arridge, SR;
Baker, C;
Sinden, D;
Zeqiri, B;
(2020)
Pyroelectric ultrasound sensor model: directional response.
Measurement Science and Technology
10.1088/1361-6501/abc866.
(In press).
|
|
|
Kazim, E;
Koshiyama, A;
(2020)
The interrelation between data and AI ethics in the context of impact assessments.
AI and Ethics
10.1007/s43681-020-00029-w.
(In press).
|
|
|
Kepiro, IE;
Marzuoli, I;
Hammond, K;
Ba, X;
Lewis, H;
Shaw, M;
Gunnoo, SB;
... Ryadnov, MG; + view all
(2020)
Engineering Chirally Blind Protein Pseudocapsids into Antibacterial Persisters.
ACS Nano
, 14
(2)
pp. 1609-1622.
10.1021/acsnano.9b06814.
|
|
|
Keskin, Z;
Aste, T;
(2020)
Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices.
Royal Society Open Science
, 7
(9)
, Article 200863. 10.1098/rsos.200863.
|
|
|
Khasnabis, C;
Holloway, C;
MacLachlan, M;
(2020)
The Digital and Assistive Technologies for Ageing initiative: learning from the GATE initiative.
The Lancet Healthy Longevity
, 1
(3)
e94-e95.
10.1016/S2666-7568(20)30049-0.
|
|
|
Kilbertus, N;
Kusner, M;
Silva, R;
(2020)
A class of algorithms for general instrumental variable models.
In:
Proceedings of the Advances in Neural Information Processing Systems (NeurIPS 2020).
Advances in Neural Information Processing Systems (NeurIPS 2020): Virtual conference.
|
|
Kim, M;
Kujawa, A;
Battiston, M;
Demetriou, E;
Schneider, T;
Collorone, S;
Tur, C;
... Golay, X; + view all
(2020)
Translating pH‐sensitive PROgressive saturation for QUantifying Exchange rates using Saturation Times (PRO‐QUEST) MRI to a 3T clinical scanner.
Magnetic Resonance in Medicine
, 84
(4)
pp. 1734-1746.
10.1002/mrm.28229.
|
|
Kimpton, JA;
Batalle, D;
Barnett, ML;
Hughes, EJ;
Chew, ATM;
Falconer, S;
Tournier, JD;
... Counsell, SJ; + view all
(2020)
Diffusion magnetic resonance imaging assessment of regional white matter maturation in preterm neonates.
Neuroradiology
10.1007/s00234-020-02584-9.
(In press).
|
|
|
Kluth, T;
Jin, B;
(2020)
L1 data fitting for robust reconstruction in magnetic particle imaging: Quantitative evaluation on open mpi dataset.
International Journal on Magnetic Particle Imaging
, 6
(2)
pp. 1-23.
10.18416/ijmpi.2020.2012001.
|
|
|
Kohli, M;
Magoulas, GD;
Thomas, MSC;
(2020)
Evolving Connectionist Models to Capture Population Variability across Language Development: Modeling Children's Past Tense Formation.
Artificial Life
, 26
(2)
pp. 217-241.
10.1162/artl_a_00316.
|
|
|
Kokoris-Kogias, E;
Alp, EC;
Gasser, L;
Jovanovic, P;
Syta, E;
Ford, B;
(2020)
CALYPSO: Private Data Management for Decentralized Ledgers.
Proceedings of the VLDB Endowment
, 14
(4)
pp. 586-599.
10.14778/3436905.3436917.
|
|
Kolasinski, J;
Dima, DC;
Mehler, DMA;
Stephenson, A;
Valadan, S;
Kusmia, S;
Rossiter, HE;
(2020)
Spatially and Temporally Distinct Encoding of Muscle and Kinematic Information in Rostral and Caudal Primary Motor Cortex.
Cerebral Cortex Communications
, 1
(1)
, Article tgaa009. 10.1093/texcom/tgaa009.
|
|
|
Koshiyama, A;
Firoozye, N;
Treleaven, P;
(2020)
Generative adversarial networks for financial trading strategies fine-tuning and combination.
Quantitative Finance
10.1080/14697688.2020.1790635.
(In press).
|
|
Koshiyama, Adriano Soares;
(2020)
Applications of Machine Learning Methods in Financial Markets.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
|
Kozdon, K;
Caridi, B;
Duru, I;
Ezra, DG;
Phillips, JB;
Bailly, M;
(2020)
A Tenon's capsule/bulbar conjunctiva interface biomimetic to model fibrosis and local drug delivery.
PLoS One
, 15
(11)
, Article e0241569. 10.1371/journal.pone.0241569.
|
|
|
Kozen, D;
Silva, A;
(2020)
Left-handed completeness.
Theoretical Computer Science
, 807
pp. 220-233.
10.1016/j.tcs.2019.10.040.
|
|
Krauss, O;
Langdon, WB;
(2020)
Automatically Evolving Lookup Tables for Function Approximation.
In:
Genetic Programming. EuroGP: European Conference on Genetic Programming (Part of EvoStar).
(pp. pp. 84-100).
Springer Nature
|
|
Kulon, D;
Güler, RA;
Kokkinos, I;
Bronstein, M;
Zafeiriou, S;
(2020)
Weakly-supervised mesh-convolutional hand reconstruction in the wild.
In:
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
(pp. pp. 4989-4999).
IEEE: Seattle, WA, USA, USA.
|
|
|
Kupke, Clemens;
Rot, Jurriaan;
(2020)
Expressive Logics for Coinductive Predicates.
In: Fernández, Maribel and Muscholl, Anca, (eds.)
28th EACSL Annual Conference on Computer Science Logic.
(pp. 26:1-26:18).
Dagstuhl Publishing: Wadern, Germany.
|
|
|
Kurin, V;
Igl, M;
Rocktäschel, T;
Boehmer, W;
Whiteson, S;
(2020)
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control.
In:
(Proceedings) ICLR 2021: Ninth International Conference on Learning Representations.
OpenReview.net
|
|
|
Kusner, MJ;
Hernández-Lobato, JM;
(2020)
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution.
(In press).
|
L
|
Lacerda, LM;
Clayden, JD;
Handley, SE;
Winston, GP;
Kaden, E;
Tisdall, M;
Cross, JH;
... Clark, CA; + view all
(2020)
Microstructural Investigations of the Visual Pathways in Pediatric Epilepsy Neurosurgery: Insights From Multi-Shell Diffusion Magnetic Resonance Imaging.
Frontiers in Neuroscience
, 14
, Article 269. 10.3389/fnins.2020.00269.
|
|
|
Lamb, G;
Paige, B;
(2020)
Bayesian Graph Neural Networks for Molecular Property Prediction.
In:
Proceedings of the 2020 NeurIPS Workshop on Machine Learning for Molecules.
Neural Information Processing Systems
|
|
Langdon, WB;
Weimer, W;
Petke, J;
Fredericks, E;
Lee, S;
Winter, E;
Basios, M;
... Gerten, M; + view all
(2020)
Genetic Improvement @ ICSE 2020.
In:
ACM SIGSOFT Software Engineering Notes.
(pp. pp. 24-30).
ACM
|
|
|
Larivière, S;
Rodríguez-Cruces, R;
Royer, J;
Caligiuri, ME;
Gambardella, A;
Concha, L;
Keller, SS;
... Bernhardt, BC; + view all
(2020)
Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study.
Science Advances
, 6
(47)
, Article eabc6457. 10.1126/sciadv.abc6457.
|
|
|
Lau, AM;
Claesen, J;
Hansen, K;
Politis, A;
(2020)
Deuteros 2.0: Peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometry.
Bioinformatics
10.1093/bioinformatics/btaa677.
(In press).
|
|
|
Lau, AM;
Jia, R;
Bradshaw, RT;
Politis, A;
(2020)
Structural predictions of the functions of membrane proteins from HDX-MS.
Biochemical Society Transactions
, 48
(3)
pp. 971-979.
10.1042/BST20190880.
|
|
|
Lawal, IA;
Bano, S;
(2020)
Deep Human Activity Recognition With Localisation of Wearable Sensors.
IEEE Access
, 8
pp. 155060-155070.
10.1109/access.2020.3017681.
|
|
|
Le, ET;
Kokkinos, I;
Mitra, NJ;
(2020)
Going Deeper With Lean Point Networks.
In:
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(pp. pp. 9500-9509).
IEEE: Seattle, WA, USA.
|
|
|
Lechelt, S;
Rogers, Y;
Marquardt, N;
(2020)
Coming to your senses: promoting critical thinking about sensors through playful interaction in classrooms.
In:
IDC '20: Proceedings of the Interaction Design and Children Conference.
(pp. pp. 11-22).
ACM: London, UK.
|
|
|
Lee, S;
Binkley, D;
Gold, N;
Islam, S;
Krinke, J;
Yoo, S;
(2020)
Evaluating Lexical Approximation of Program Dependence.
Journal of Systems and Software
, 160
, Article 110459. 10.1016/j.jss.2019.110459.
|
|
Legouhy, A;
Commowick, O;
Proisy, M;
Rousseau, F;
Barillot, C;
(2020)
Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation.
PLOS ONE
, 15
(2)
, Article e0214174. 10.1371/journal.pone.0214174.
|
|
|
Legouhy, Antoine;
(2020)
Methods for morphological longitudinal brain modeling through atlasing and registration.
Doctoral thesis (Ph.D), L'Université de Rennes 1.
|
|
|
Lehman, J;
Clune, J;
Misevic, D;
Adami, C;
Altenberg, L;
Beaulieu, J;
Bentley, PJ;
... Yosinski, J; + view all
(2020)
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artificial Life
, 26
(2)
pp. 274-306.
10.1162/artl_a_00319.
|
|
Lei, J;
Sridhar, S;
Guerrero, P;
Sung, M;
Mitra, N;
Guibas, LJ;
(2020)
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images.
In:
Computer Vision – ECCV 2020. 16th European Conference on Computer Vision.
(pp. pp. 121-138).
Springer Nature: Cham, Switzerland.
|
|
|
Leino, A;
Lunttila, T;
Mozumder, M;
Pulkkinen, A;
Tarvainen, T;
(2020)
Perturbation Monte Carlo Method for Quantitative Photoacoustic Tomography.
IEEE Transactions on Medical Imaging
10.1109/tmi.2020.2983129.
|
|
|
Lengyel, D;
Petangoda, JC;
Falk, I;
Highnam, K;
Lazarou, M;
Kolbeinsson, A;
Deisenroth, MP;
(2020)
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability.
arXiv: Ithaca, NY, USA.
|
|
|
Lewis, PSH;
Perez, E;
Piktus, A;
Petroni, F;
Karpukhin, V;
Goyal, N;
Küttler, H;
... Kiela, D; + view all
(2020)
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
In:
Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020.
NeurIPS
|
|
Li, C;
Pan, H;
Bousseau, A;
Mitra, NJ;
(2020)
Sketch2CAD: Sequential CAD Modeling by Sketching in Context.
ACM Transactions on Graphics
, 39
(6)
, Article 164. 10.1145/3414685.3417807.
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| Li, J; Zhou, S; |