Browse by UCL Departments and Centres
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Number of items: 651.
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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Adeagbo, O;
Kim, H-Y;
Tanser, F;
Xulu, S;
Dlamini, N;
Gumede, V;
Mathenjwa, T;
... Shahmanesh, M; + view all
(2020)
Acceptability of a tablet-based application to support early HIV testing among men in rural KwaZulu-Natal, South Africa: a mixed method study.
AIDS Care
10.1080/09540121.2020.1742867.
(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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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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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 for Different Visitor Personas.
Journal on Computing and Cultural Heritage
(In press).
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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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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;
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;
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:
GAATO/RESNA Assistive Technology Outcomes/Impact Summit.
(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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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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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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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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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;
Bonmati, E;
Cristoni, L;
Walden, A;
Prados, F;
Kanber, B;
Barratt, DC;
... Hu, Y; + view all
(2020)
Image quality assessment for closed-loop computer-assisted lung ultrasound.
ArXiv
, Article arXiv:2008.08840v1.
(In press).
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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.
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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.
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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.
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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).
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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.
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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.
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Blandford, A;
Wesson, J;
Amalberti, R;
AlHazme, R;
Allwihan, R;
(2020)
Opportunities and challenges for telehealth within, and beyond, a pandemic.
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