Browse by UCL Departments and Centres
Article
Aad, G;
Abbott, B;
Abbott, DC;
Abdinov, O;
Abed Abud, A;
Abeling, K;
Abhayasinghe, DK;
... Zwalinski, L; + view all
(2019)
Measurement of the inclusive isolated-photon cross section at √s = 13 TeV using fb⁻¹ of ATLAS data.
Journal of High Energy Physics
, 2019
(10)
, Article 203. 10.1007/jhep10(2019)203.
|
Adamskiy, D;
Bellotti, T;
Dzhamtyrova, R;
Kalnishkan, Y;
(2019)
Aggregating Algorithm for Prediction of Packs.
Machine Learning
10.1007/s10994-018-5769-2.
(In press).
|
Adeagbo, O;
Herbst, C;
Blandford, A;
McKendry, R;
Estcourt, C;
Seeley, J;
Shahmanesh, M;
(2019)
Exploring People’s Candidacy for Mobile Health–Supported HIV Testing and Care Services in Rural KwaZulu-Natal, South Africa: Qualitative Study.
Journal of Medical Internet Research
, 21
(11)
, Article e15681. 10.2196/15681.
|
Adesokan, B;
Jensen, B;
Jin, B;
Knudsen, K;
(2019)
Acousto-Electric Tomography with Total Variation Regularization.
Inverse Problems
, 35
(3)
, Article 035008. 10.1088/1361-6420/aaece5.
|
Agarwal, Sharad;
Oser, Pascal;
Lueders, Stefan;
(2019)
Detecting IoT Devices and How They Put Large Heterogeneous Networks at Security Risk.
Sensors
, 19
(19)
, Article 4107. 10.3390/s19194107.
|
Ahmad, OF;
Soares, AS;
Mazomenos, E;
Brandao, P;
Vega, R;
Seward, E;
Stoyanov, D;
... Lovat, LB; + view all
(2019)
Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions.
[Review].
The Lancet Gastroenterology and Hepatology
, 4
(1)
pp. 71-80.
10.1016/S2468-1253(18)30282-6.
|
Ahmad, OF;
Stoyanov, D;
Lovat, LB;
(2019)
Human-machine Collaboration: Bringing Artificial Intelligence Into Colonoscopy.
Frontline Gastroenterology
, 10
(2)
pp. 198-199.
10.1136/flgastro-2018-101047.
|
Aksman, LM;
Scelsi, MA;
Marquand, AF;
Alexander, DC;
Ourselin, S;
Altmann, A;
for ADNI, .;
(2019)
Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.
Human Brain Mapping
, 40
(13)
pp. 3982-4000.
10.1002/hbm.24682.
|
Al Hajj, H;
Lamard, M;
Conze, P-H;
Roychowdhury, S;
Hu, X;
Marsalkaite, G;
Zisimopoulos, O;
... Quellec, G; + view all
(2019)
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.
Medical Image Analysis
, 52
pp. 24-41.
10.1016/j.media.2018.11.008.
|
Alavi, HS;
Churchill, EF;
Wiberg, M;
Lalanne, D;
Dalsgaard, P;
Schieck, AFG;
Rogers, Y;
(2019)
Introduction to human-building interaction (HBI): Interfacing HCI with architecture and urban design.
ACM Transactions on Computer-Human Interaction
, 26
(2)
, Article 6. 10.1145/3309714.
|
Allen, LA;
Harper, RM;
Guye, M;
Kumar, R;
Ogren, JA;
Vos, SB;
Ourselin, S;
... Diehl, B; + view all
(2019)
Altered brain connectivity in sudden unexpected death in epilepsy (SUDEP) revealed using resting-state fMRI.
NeuroImage: Clinical
, 24
, Article 102060. 10.1016/j.nicl.2019.102060.
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Allen, LA;
Vos, SB;
Kumar, R;
Ogren, JA;
Harper, RK;
Winston, GP;
Balestrini, S;
... Diehl, B; + view all
(2019)
Cerebellar, limbic, and midbrain volume alterations in sudden unexpected death in epilepsy.
Epilepsia
, 60
(4)
pp. 718-729.
10.1111/epi.14689.
|
Alsubaihin, A;
Sarro, F;
Black, S;
Capra, L;
(2019)
Empirical comparison of text-based mobile apps similarity measurement techniques.
Empirical Software Engineering
10.1007/s10664-019-09726-5.
(In press).
|
Alsubaihin, A;
Sarro, F;
Black, S;
Capra, L;
Harman, M;
(2019)
App Store Effects on Software Engineering Practices.
IEEE Transactions on Software Engineering
10.1109/TSE.2019.2891715.
(In press).
|
Archetti, D;
Ingala, S;
Venkatraghavan, V;
Wottschel, V;
Young, AL;
Bellio, M;
Bron, EE;
... for EuroPOND Consortium, .; + view all
(2019)
Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease.
Neuroimage Clinical
, 24
, Article 101954. 10.1016/j.nicl.2019.101954.
|
Arridge, S;
Hauptmann, A;
(2019)
Networks for Nonlinear Diffusion Problems in Imaging.
Journal of Mathematical Imaging and Vision
10.1007/s10851-019-00901-3.
(In press).
|
Arridge, S;
Maass, P;
Öktem, O;
Schönlieb, CB;
(2019)
Solving inverse problems using data-driven models.
Acta Numerica
, 28
pp. 1-174.
10.1017/S0962492919000059.
|
Asghar, HJ;
De Cristofaro, E;
Jourjon, G;
Kaafar, MA;
Mathy, L;
Melis, L;
Russell, C;
(2019)
Fast privacy-preserving network function outsourcing.
Computer Networks
, 163
10.1016/j.comnet.2019.106893.
|
Aste, T;
(2019)
Cryptocurrency market structure: connecting emotions and economics.
Digital Finance
, 1
pp. 5-21.
10.1007/s42521-019-00008-9.
|
Atserias, A;
Kolaitis, PG;
Severini, S;
(2019)
Generalized satisfiability problems via operator assignments.
Journal of Computer and System Sciences
, 105
pp. 171-198.
10.1016/j.jcss.2019.05.003.
(In press).
|
Atserias, A;
Mančinska, L;
Roberson, DE;
Šámal, R;
Severini, S;
Varvitsiotis, A;
(2019)
Quantum and non-signalling graph isomorphisms.
Journal of Combinatorial Theory, Series B
, 136
pp. 289-328.
10.1016/j.jctb.2018.11.002.
|
Bagnato, F;
Franco, G;
Li, H;
Kaden, E;
Ye, F;
Fan, R;
Chen, A;
... Xu, J; + view all
(2019)
Probing axons using multi-compartmental diffusion in multiple sclerosis.
Annals of Clinical and Translational Neurology
, 6
(9)
pp. 1595-1605.
10.1002/acn3.50836.
|
Bailey, C;
Bourne, RM;
Siow, B;
Johnston, EW;
Brizmohun Appayya, M;
Pye, H;
Heavey, S;
... Panagiotaki, E; + view all
(2019)
VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment.
NMR in Biomedicine
, Article e4073. 10.1002/nbm.4073.
(In press).
|
Banerji, CRS;
Panamarova, M;
Pruller, J;
Figeac, N;
Hebaishi, H;
Fidanis, E;
Saxena, A;
... Zammit, PS; + view all
(2019)
Dynamic transcriptomic analysis reveals suppression of PGC1α/ERRα drives perturbed myogenesis in facioscapulohumeral muscular dystrophy.
Human Molecular Genetics
, 28
(8)
pp. 1244-1259.
10.1093/hmg/ddy405.
|
Barbareschi, G;
Holloway, C;
(2019)
An investigation of factors affecting the performance of wheelchair transfers.
Disability and Rehabilitation: Assistive Technology
, 14
(5)
pp. 479-488.
10.1080/17483107.2018.1463402.
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Barbareschi, G;
Holloway, C;
(2019)
Understanding independent wheelchair transfers. Perspectives from stakeholders.
Disability and Rehabilitation: Assistive Technology
, 15
(5)
pp. 545-552.
10.1080/17483107.2019.1594407.
|
Bardoscia, M;
Barucca, P;
Codd, AB;
Hill, J;
(2019)
Forward-looking solvency contagion.
Journal of Economic Dynamics and Control
, 108
, Article 103755. 10.1016/j.jedc.2019.103755.
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Batz, K;
Kaminski, BL;
Katoen, J-P;
Matheja, C;
Noll, T;
(2019)
Quantitative Separation Logic - A Logic for Reasoning about Probabilistic Programs.
Proceedings of the ACM on Programming Languages
, 3
, Article 34. 10.1145/3290347.
|
Bedder, RL;
Bush, D;
Banakou, D;
Peck, T;
Slater, M;
Burgess, N;
(2019)
A mechanistic account of bodily resonance and implicit bias.
Cognition
, 184
10.1016/j.cognition.2018.11.010.
(In press).
|
Begone, G;
Deisenroth, MP;
Kim, JS;
Liem, S;
de Austri, RR;
Welling, M;
(2019)
Accelerating the BSM interpretation of LHC data with machine learning.
Physics of the Dark Universe
, 24
, Article 100293. 10.1016/j.dark.2019.100293.
|
Benedetti, M;
Grant, E;
Wossnig, L;
Severini, S;
(2019)
Adversarial quantum circuit learning for pure state approximation.
New Journal Of Physics
, 21
, Article 043023. 10.1088/1367-2630/ab14b5.
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Benrimoh, D;
Parr, T;
Adams, RA;
Friston, K;
(2019)
Hallucinations both in and out of context: An active inference account.
PLoS One
, 14
(8)
, Article e0212379. 10.1371/journal.pone.0212379.
|
Bentham, RB;
Bryson, K;
Szabadkai, G;
(2019)
Biclustering Analysis of Co-regulation Patterns in Nuclear-Encoded Mitochondrial Genes and Metabolic Pathways.
Cancer Metabolism
, 1928
pp. 469-478.
10.1007/978-1-4939-9027-6_24.
|
Bianchi, F;
Masaracchia, A;
Barjuei, ES;
Menciassi, A;
Arezzo, A;
Koulaouzidis, A;
Stoyanov, D;
... Ciuti, G; + view all
(2019)
Localization strategies for robotic endoscopic capsules: a review.
[Review].
Expert Review of Medical Devices
, 16
(5)
pp. 381-403.
10.1080/17434440.2019.1608182.
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Binetti, N;
Cheng, T;
Mareschal, I;
Brumby, D;
Julier, S;
Bianchi-Berthouze, N;
(2019)
Assumptions about the positioning of virtual stimuli affect gaze direction estimates during Augmented Reality based interactions.
Scientific Reports
, 9
(1)
, Article 2566. 10.1038/s41598-019-39311-1.
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Binkley, D;
Gold, NE;
Islam, S;
Krinke, J;
Yoo, S;
(2019)
A comparison of tree- and line-oriented observational slicing.
Empirical Software Engineering
, 24
(5)
pp. 3077-3113.
10.1007/s10664-018-9675-9.
|
Biondi, Y;
Righi, S;
(2019)
Inequality, mobility and the financial accumulation process: a computational economic analysis.
Journal of Economic Interaction and Coordination
, 14
(1)
pp. 93-119.
10.1007/s11403-019-00236-7.
|
Blandford, A;
(2019)
HCI for health and wellbeing: challenges and opportunities.
International Journal of Human-Computer Studies
, 131
pp. 41-51.
10.1016/j.ijhcs.2019.06.007.
|
Blandford, A;
(2019)
Lessons from working with researchers and practitioners in healthcare.
Interactions
, 26
(1)
pp. 72-75.
10.1145/3292023.
|
Blandford, A;
Dykes, PC;
Franklin, BD;
Furniss, D;
Galal-Edeen, GH;
Schnock, KO;
Bates, DW;
(2019)
Intravenous Infusion Administration: A Comparative Study of Practices and Errors Between the United States and England and Their Implications for Patient Safety.
Drug Safety
, 42
(10)
pp. 1157-1165.
10.1007/s40264-019-00841-2.
|
Blot, A;
Kessaci, M-É;
Jourdan, L;
Hoos, HH;
(2019)
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems.
Evolutionary Computation
, 27
(1)
pp. 147-171.
10.1162/evco_a_00240.
|
Bonet-Carne, E;
Johnston, E;
Daducci, A;
Jacobs, JG;
Freeman, A;
Atkinson, D;
Hawkes, DJ;
... Panagiotaki, E; + view all
(2019)
VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization.
NMR in Biomedicine
, 32
(1)
, Article e4019. 10.1002/nbm.4019.
|
Boulangier, J;
Gobrecht, D;
Decin, L;
de Koter, A;
Yates, J;
(2019)
Developing a self-consistent AGB wind model - II. Non-classical, non-equilibrium polymer nucleation in a chemical mixture.
Monthly Notices of the Royal Astronomical Society
, 489
(4)
pp. 4890-4911.
10.1093/mnras/stz2358.
|
Brandao, P;
Mazomenos, E;
Stoyanov, D;
(2019)
Widening siamese architectures for stereo matching.
Pattern Recognition Letters
, 120
pp. 75-81.
10.1016/j.patrec.2018.12.002.
|
Breen-Norris, J;
Siow, B;
Hipwell, B;
Roberts, T;
Lythgoe, M;
Ianus, A;
Alexander, D;
(2019)
Using Diffusion-Diffusion Exchange Spectroscopy to observe diffusion exchange in yeast.
Diffusion Fundamentals
, 31
, Article 3.
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Brown, C;
Story, GW;
Mourão-Miranda, J;
Baker, JT;
(2019)
Will artificial intelligence eventually replace psychiatrists?
The British Journal of Psychiatry
10.1192/bjp.2019.245.
(In press).
|
Bruce, BR;
Petke, J;
Harman, M;
Barr, ET;
(2019)
Approximate Oracles and Synergy in Software Energy Search Spaces.
IEEE Transactions on Software Engineering
, 45
(11)
pp. 1150-1169.
10.1109/TSE.2018.2827066.
|
Burin, D;
Kilteni, K;
Rabuffetti, M;
Slater, M;
Pia, L;
(2019)
Body ownership increases the interference between observed and executed movements.
PLOS ONE
, 14
(1)
, Article e0209899. 10.1371/journal.pone.0209899.
|
Burnie, A;
Yilmaz, E;
(2019)
Social media and bitcoin metrics: which words matter.
Royal Society Open Science
, 6
(10)
, Article 191068. 10.1098/rsos.191068.
|
Burns, A;
Paoletti, P;
Fichera, S;
(2019)
A Low Cost Ultrasound-based Localisation System for Ground Robotics.
Sensors & Transducers
, 238
(11)
pp. 21-30.
|
Busatto, N;
Stolojan, V;
Shaw, M;
Keddie, JL;
Roth, PJ;
(2019)
Reactive Polymorphic Nanoparticles: Preparation via Polymerization-Induced Self-Assembly and Postsynthesis Thiol-para-Fluoro Core Modification.
Macromolecular Rapid Communications
, 40
(2)
, Article 1800346. 10.1002/marc.201800346.
|
Caldwell, M;
Griffin, LD;
(2019)
Limits on transfer learning from photographic image data to X-ray threat detection.
Journal of X-Ray Science and Technology
, 27
(6)
pp. 1007-1020.
10.3233/XST-190545.
|
Carroni, E;
Ferrari, L;
Righi, S;
(2019)
The price of discovering your needs online.
Journal of Economic Behavior & Organization
, 164
pp. 317-330.
10.1016/j.jebo.2019.06.008.
|
Carroni, E;
Pin, P;
Righi, S;
(2019)
Bring a friend! Privately or Publicly?
Management Science
, 66
(5)
pp. 2269-2290.
10.1287/mnsc.2018.3282.
|
Cerchiello, Paola;
Tasca, Paolo;
Toma, Anca Mirela;
(2019)
ICO Success Drivers: A Textual and Statistical Analysis.
The Journal of Alternative Investments
, 21
(4)
pp. 13-25.
10.3905/jai.2019.21.4.013.
|
Chatzakou, D;
Leontiadis, I;
Blackburn, J;
De Cristofaro, E;
Stringhini, G;
Vakali, A;
Kourtellis, N;
(2019)
Detecting cyberbullying and cyberaggression in social media.
ACM Transactions on the Web (TWEB)
, 13
(3)
, Article 17. 10.1145/3343484.
|
Chen, Z;
Ahmed, NR;
Julier, S;
Heckman, C;
(2019)
Kalman Filter Tuning with Bayesian Optimization.
arXiv
|
Chisholm, S;
Stein, AB;
Jordan, NR;
Hubel, TM;
Shawe-Taylor, J;
Fearn, T;
McNutt, JW;
... Hailes, S; + view all
(2019)
Parsimonious test of dynamic interaction.
Ecology and Evolution
, 9
(4)
pp. 1654-1664.
10.1002/ece3.4805.
|
Cho, Y;
Julier, SJ;
Bianchi-Berthouze, N;
(2019)
Instant Stress: Detection of Perceived Mental Stress Through Smartphone Photoplethysmography and Thermal Imaging.
JMIR Mental Health
, 6
(4)
, Article e10140. 10.2196/10140.
|
Christiaens, D;
Slator, P;
Cordero-Grande, L;
Price, A;
Deprez, M;
Alexander, D;
Rutherford, M;
... Hutter, J; + view all
(2019)
In utero diffusion MRI: challenges, advances, and applications.
Topics in Magnetic Resonance Imaging
, 28
(5)
pp. 255-264.
10.1097/RMR.0000000000000211.
|
Chung, E;
Efendiev, Y;
Jin, B;
Leung, W;
Vasilyeva, M;
(2019)
Generalized Multiscale Inversion for Heterogeneous Problems.
Communications in Computational Physics
, 25
(4)
pp. 1213-1234.
10.4208/cicp.OA-2017-0184.
|
Clark, D;
Hierons, RM;
Patel, K;
(2019)
Normalised Squeeziness and Failed Error Propagation.
Information Processing Letters
, 149
pp. 6-9.
10.1016/j.ipl.2019.04.001.
|
Clark, WT;
Kasak, L;
Bakolitsa, C;
Hu, Z;
Andreoletti, G;
Babbi, G;
Bromberg, Y;
... LeBowitz, JH; + view all
(2019)
Assessment of predicted enzymatic activity of α‐N‐acetylglucosaminidase variants of unknown significance for CAGI 2016.
Human Mutation
, 40
(9)
pp. 1519-1529.
10.1002/humu.23875.
|
Cochran, JM;
Busch, DR;
Lin, L;
Minkoff, DL;
Schweiger, M;
Arridge, S;
Yodh, AG;
(2019)
Hybrid time-domain and continuous-wave diffuse optical tomography instrument with concurrent, clinical magnetic resonance imaging for breast cancer imaging.
Journal of Biomedical Optics
, 24
(5)
, Article 051409. 10.1117/1.JBO.24.5.051409.
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Colchester, R;
Little, C;
Dwyer, G;
Noimark, S;
Alles, E;
Zhang, E;
Loder, CD;
... Desjardins, A; + view all
(2019)
All-Optical Rotational Ultrasound Imaging.
Scientific Reports
, 9
, Article 5576. 10.1038/s41598-019-41970-z.
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Colleoni, E;
Moccia, S;
Du, X;
De Momi, E;
Stoyanov, D;
(2019)
Deep Learning Based Robotic Tool Detection and Articulation Estimation with Spatio-Temporal Layers.
IEEE Robotics and Automation Letters
, 4
(3)
pp. 2714-2721.
10.1109/LRA.2019.2917163.
|
Collorone, S;
Cawley, N;
Grussu, F;
Prados, F;
Tona, F;
Calvi, A;
Kanber, B;
... Ciccarelli, O; + view all
(2019)
Reduced neurite density in the brain and cervical spinal cord in relapsing–remitting multiple sclerosis: A NODDI study.
Multiple Sclerosis Journal
10.1177/1352458519885107.
(In press).
|
Cooper, HE;
Kaden, E;
Halliday, LF;
Bamiou, D-E;
Mankad, K;
Peters, C;
Clark, CA;
(2019)
White matter microstructural abnormalities in children with severe congenital hypothyroidism.
NeuroImage: Clinical
, 24
, Article 101980. 10.1016/j.nicl.2019.101980.
|
Courtois, NT;
Georgiou, M;
Scarlata, M;
(2019)
Slide attacks and LC-weak keys in T-310.
Cryptologia
, 43
(3)
pp. 175-189.
10.1080/01611194.2018.1548392.
|
Courtois, NT;
Oprisanu, M-B;
Schmeh, K;
(2019)
Linear cryptanalysis and block cipher design in East Germany in the 1970s.
Cryptologia
, 43
(1)
pp. 2-22.
10.1080/01611194.2018.1483981.
|
courtois, NT;
Scarlata, M;
Georgiou, M;
(2019)
How Many Weak-Keys Exist in T-310.
Tatra Mountains Mathematical Publications
, 73
(1)
pp. 61-82.
10.2478/tmmp-2019-0006.
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Creamer, GG;
Kazantsev, G;
Aste, T;
(2019)
Editors' foreword.
[Editorial comment].
Quantitative Finance
, 19
(9)
pp. 1445-1448.
10.1080/14697688.2019.1638160.
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Currie, J;
Bond, RR;
McCullagh, P;
Black, P;
Finlay, DD;
Gallagher, S;
Kearney, P;
... Gallagher, AG; + view all
(2019)
Wearable technology-based metrics for predicting operator performance during cardiac catheterisation.
International Journal of Computer Assisted Radiology and Surgery
, 14
pp. 645-657.
10.1007/s11548-019-01918-0.
|
Dahoun, T;
Nour, MM;
Adams, RA;
Trossbach, S;
Lee, SH;
Patel, H;
Curtis, C;
... Howes, OD; + view all
(2019)
Disrupted‐in‐schizophrenia 1 functional polymorphisms and D₂/D₃ receptor availability: A [¹¹C]‐(+)‐PHNO imaging study.
Genes, Brain and Behavior
, 18
(8)
, Article e12596. 10.1111/gbb.12596.
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Dahoun, T;
Nour, MM;
McCutcheon, RA;
Adams, RA;
Bloomfield, MAP;
Howes, OD;
(2019)
The relationship between childhood trauma, dopamine release and dexamphetamine-induced positive psychotic symptoms: a [11C]-(+)-PHNO PET study.
Translational Psychiatry
, 9
, Article 287. 10.1038/s41398-019-0627-y.
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De Francesco, D;
Choi, J-P;
Choi, JY;
van Zoest, RA;
Underwood, J;
Schouten, J;
Ku, NS;
... van Zoest, RA; + view all
(2019)
Cognitive function and drivers of cognitive impairment in a European and a Korean cohort of people living with HIV.
International Journal of STD & AIDS
10.1177/0956462419881080.
(In press).
|
De Francesco, D;
Wit, FW;
Bürkle, A;
Oehlke, S;
Kootstra, NA;
Winston, A;
Franceschi, C;
... The Co-morBidity in Relation to AIDS (COBRA) Collaboration, .; + view all
(2019)
Do people living with HIV experience greater age advancement than their HIV-negative counterparts?
AIDS
, 33
(2)
pp. 259-268.
10.1097/QAD.0000000000002063.
|
De Mijolla, D;
Viti, S;
Holdship, J;
Manolopoulou, I;
Yates, J;
(2019)
Incorporating astrochemistry into molecular line modelling via emulation.
Astronomy and Astrophysics
, 630
, Article A117. 10.1051/0004-6361/201935973.
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de Oliveira, L;
Portugal, LCL;
Pereira, M;
Chase, HW;
Bertocci, M;
Stiffler, R;
Greenberg, T;
... Phillips, ML; + view all
(2019)
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Lane, ND;
Berthouze, N;
(2019)
Recurrent Network based Automatic Detection of Chronic Pain Protective Behavior using MoCap and sEMG data.
In:
Proceedings of the 23rd International Symposium on Wearable Computers (ISWC).
(pp. pp. 225-230).
ACM: Piscataway, NJ, USA.
|
Wang, W;
Jin, J;
Hao, J;
Chen, C;
Yu, C;
Zhang, W;
Wang, J;
... Gai, K; + view all
(2019)
Learning Adaptive Display Exposure for Real-Time Advertising.
In: Zhu, W and Tao, D and Cheng, X and Cui, P and Rundensteiner, E and Carmel, D and He, Q and Yu, JX, (eds.)
CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management.
(pp. pp. 2595-2603).
Association for Computing Machinery (ACM): New York, NY, USA.
|
Warner, M;
Maestre, JF;
Gibbs, J;
Chung, C-F;
Blandford, A;
(2019)
Signal Appropriation of Explicit HIV Status Disclosure Fields in Sex-Social Apps used by Gay and Bisexual Men.
In:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.
(pp. pp. 1-15).
ACM: New York, NY, USA.
|
Weber, L;
Minervini, P;
Münchmeyer, J;
Leser, U;
Rocktäschel, T;
(2019)
NLprolog: Reasoning with Weak Unification for Question Answering in Natural Language.
In: Marquez, Lluis and Korhonen, Anna and Traum, David, (eds.)
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).
(pp. pp. 6151-6161).
ACL (Association for Computational Linguistics): Florence, Italy.
|
Weir, C;
Becker, I;
Noble, J;
Blair, L;
Sasse, MA;
Rashid, A;
(2019)
Interventions for Software Security: Creating a Lightweight Program of Assurance Techniques for Developers.
In: Sharpe, Helen and Whalen, Michael, (eds.)
Proceedings of 41st International Conference on Software Engineering.
(pp. pp. 41-50).
IEEE: NY, USA.
|
Wen, Y;
Yang, Y;
Luo, R;
Wang, J;
Pan, W;
(2019)
Probabilistic recursive reasoning for multi-agent reinforcement learning.
In:
Proceedings of the 7th International Conference on Learning Representations (ICLR 2019).
International Conference on Learning Representations (ICLR): New Orleans, LA, USA.
|
Wijnholds, G;
Sadrzadeh, M;
(2019)
Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings.
In: Burstein, J and Doran, C and Solorio, T, (eds.)
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).
(pp. pp. 261-271).
Association for Computational Linguistics (ACL): Minneapolis, MN, USA.
|
Williams, R;
Holloway, C;
(2019)
Prosthetic Services: An Opportunity for Patient Directed Healthcare.
In:
Proceedings of the CHI '19 Workshop: Weaving the Threads of Vehicle Automation.
|
Yousaf, H;
Kappos, G;
Meiklejohn, S;
(2019)
Tracing transactions across cryptocurrency ledgers.
In:
SEC'19: Proceedings of the 28th USENIX Conference on Security Symposium.
(pp. pp. 837-850).
ACM: Berkeley (CA), USA.
|
Zamyatin, Alexei;
Harz, Dominik;
Lind, Joshua;
Panayiotou, Panayiotis;
Gervais, Arthur;
Knottenbelt, William;
(2019)
XCLAIM: Trustless, Interoperable, Cryptocurrency-Backed Assets.
In:
2019 IEEE Symposium on Security and Privacy (SP).
(pp. pp. 193-210).
IEEE: San Francisco, CA, USA.
|
Zannettou, S;
Caulfield, T;
Setzer, W;
Sirivianos, M;
Stringhini, G;
Blackburn, J;
(2019)
Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls.
In:
WebSci '19: Proceedings of the 10th ACM Conference on Web Science.
(pp. pp. 353-362).
ACM: Association for Computing Machinery: New York, NY, USA.
|
Zannettou, S;
Sirivianos, M;
Caulfield, T;
Stringhini, G;
De Cristofaro, E;
Blackburn, J;
(2019)
Disinformation warfare: Understanding state-sponsored trolls on twitter and their influence on the web.
In:
WWW '19 Companion Proceedings of The 2019 World Wide Web Conference.
(pp. pp. 218-226).
ACM: New York (NY), USA.
|
Zantedeschi, V;
Falasca, F;
Douglas, A;
Strange, R;
Kusner, MJ;
Watson-Parris, D;
(2019)
Cumulo: A Dataset for Learning Cloud Classes.
In:
Proceedings of the NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning.
(pp. pp. 1-11).
NeurIPS: Vancouver, Canada.
|
Zhan, Q;
Liang, S;
Lipani, A;
Ren, Z;
Yilmaz, E;
(2019)
From Stances' Imbalance to Their Hierarchical Representation and Detection.
In: Liu, Ling and White, Ryen, (eds.)
Proceedings of WWW '19: The World Wide Web Conference.
(pp. pp. 2323-2332).
ACM: New York, USA.
|
Zhang, B;
Holloway, C;
Carlson, T;
Ramirez Herrera, R;
(2019)
Shared-control in Wheelchairs – Building Interaction Bridges.
In:
CHI '19 Workshop: Weaving the Threads of Vehicle Automation.
ACM: Glasgow, UK.
(In press).
|
Zhang, J;
Zhang, L;
Hao, D;
Zhang, L;
Harman, M;
(2019)
An Empirical Comparison of Mutant Selection Assessment Metrics.
In:
Proceedings of the 14th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) 2019.
IEEE: Xi'an, China, China.
|
Zhang, J;
Zhang, LZ;
Hao, D;
Wang, M;
Zhang, L;
(2019)
Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness?
In:
Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification (ICST) 2019.
(pp. pp. 252-263).
IEEE: Xi'an, China, China.
|
Zhang, Q;
Lipani, A;
Liang, S;
Yilmaz, E;
(2019)
Reply-Aided Detection of Misinformation via Bayesian Deep Learning.
In: Liu, Ling and White, Ryen, (eds.)
Proceedings of WWW '19 The World Wide Web Conference.
(pp. pp. 2333-2343).
ACM: New York, USA.
|
Zhou, H;
Yang, M;
Wang, J;
Pan, W;
(2019)
BayesNAS: A Bayesian Approach for Neural Architecture Search.
In:
Proceedings of the 36th International Conference on Machine Learning.
(pp. pp. 7603-7613).
Proceedings of Machine Learning Research (PMLR): Long Beach, CA, USA.
|
Zou, B;
Lampos, V;
Cox, I;
(2019)
Transfer learning for unsupervised influenza-like illness models from online search data.
In:
Proceeding WWW '19 The World Wide Web Conference.
(pp. pp. 2505-2516).
ACM: San Francisco, CA, USA.
|
Report
Brass, I;
Pothong, K;
Hasham, M;
(2019)
Navigating and Informing the IoT Standards Landscape: A Guide for SMEs and Start-ups.
BSI Standards Ltd.: London, UK.
|
Brass, I;
Pothong, K;
Tanczer, L;
Carr, M;
(2019)
IoT Standards, Governance and Policy.
(Cybersecurity of the Internet of Things: PETRAS Stream Report
).
PETRAS Internet of Things Research Hub: London, UK.
|
Lesniewska, F;
Ani, UD;
Watson, JM;
Carr, M;
(2019)
The Internet of Things in Ports: Six Key Security and Governance Challenges for the UK (Policy Brief).
(Policy Briefing
).
PETRAS: London, UK.
|
Morgado Ramirez, D;
Holloway, C;
Austin, V;
(2019)
Report on the Usability of Assistive Technology in Ugandan Schools with Children with Visual and/or Hearing Disabilities. A report from the Global Disability Innovation Hub for UNICEF.
Global Disability Innovation Hub: London, UK.
|
Vadgama, Nikhil;
Tasca, Paolo;
Bambridge, Peter;
Cupi, Geri;
Rehman, Najib;
Welfare, Antony;
(2019)
Distributed Ledger Technology in the Supply Chain.
UCL Centre for Blockchain Technologies: London, UK.
|
Working / discussion paper
Allan, M;
Shvets, A;
Kurmann, T;
Zhang, Z;
Duggal, R;
Su, Y-H;
Rieke, N;
... Azizian, M; + view all
(2019)
2017 Robotic Instrument Segmentation Challenge.
ArXiv
|
Berman, M;
Jégou, H;
Vedaldi, A;
Kokkinos, I;
Douze, M;
(2019)
MultiGrain: a unified image embedding for classes and instances.
ArXiv: Ithaca, NY, USA.
|
Brunet, P;
(2019)
A note on commutative Kleene algebra.
ArXiv: Ithaca, NY, USA.
|
Llanos, J;
(2019)
The Data Paradox in Competition Enforcement.
(Transnational Law Institute (TLI) Think! Research Paper Series
13/2019).
SSRN: Amsterdam, Netherlands.
|
Perski, O;
Naughton, F;
Garnett, C;
Blandford, A;
Beard, E;
West, R;
Michie, S;
(2019)
Do daily fluctuations in psychological and app-related variables predict engagement with an alcohol reduction app? A series of N-of-1 studies.
JMIR Publications
|
Righi, S;
Takács, K;
(2019)
Parallel versus Sequential Update and the Evolution of Cooperation with the Assistance of Emotional Strategies.
ArXiv: Ithaca, NY, USA.
|
The CAFA Consortium;
Jones, D;
Wan, C;
Cozzetto, D;
Fa, R;
(2019)
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens.
Cold Spring Harbor Laboratory Press
(In press).
|
Turiel, JD;
Aste, T;
(2019)
P2P Loan acceptance and default prediction with Artificial Intelligence.
ArXiv
|
Urbanek, J;
Fan, A;
Karamcheti, S;
Jain, S;
Humeau, S;
Dinan, E;
Rocktäschel, T;
... Weston, J; + view all
(2019)
Learning to speak and act in a fantasy text adventure game.
ArXiv
|
Conference item
Bandukda, Maryam;
(2019)
Technology-mediated engagement of people with visual impairments with nature.
Presented at: The 21st International ACM SIGACCESS Conference on Computers and Accessibility, Pittsburgh, PA, USA.
|
D Ettorre, C;
Stilli, A;
Dwyer, G;
Tran, M;
Stoyanov, D;
(2019)
Autonomous Pick-and-Place of Pneumatically Attachable Flexible Rails.
Presented at: The Hamlyn Symposium on Medical Robotics, London, UK.
|
Donovan-Hall, M;
Chadwell, A;
Morgado Ramirez, D;
Ssekitoleko, R;
Sobuh, M;
Holloway, C;
Kenney, L;
(2019)
Harnessing Public and Patient Involvement for upper limb prosthetics design.
Presented at: Trent International Prosthetics Symposium, Salford, UK.
|
Herrera, RR;
Joshi, S;
Zuleima, D;
Ramirez, M;
Carlson, T;
Dawes, H;
Holloway, C;
(2019)
Novice vs experienced wheelchair users: perceived difficulty of task performance with and without a push-rim-activated power assisted wheelchair (PAPAW).
Presented at: RESNA 2019 Conference, Toronto, Canada.
|
Perez-Ortiz, M;
Martinovic, J;
Mantiuk, R;
Wuerger, S;
(2019)
Luminance and Chromatic Contrast Sensitivity at High Light Levels.
Presented at: 41st European Conference on Visual Perception (ECVP), Trieste, Italy.
|
Poster
Callaghan, R;
Alexander, DC;
Zhang, H;
Palombo, M;
(2019)
Contextual fibre growth to generate realistic axonal packing for diffusion MRI simulation.
Presented at: 25th Annual Meeting of the Organization for Human Brain Mapping (2019 OHBM), Rome, Italy.
|
Giunchi, D;
James, S;
Degraen, D;
Steed, A;
(2019)
Mixing realities for sketch retrieval in Virtual Reality.
Presented at: 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI), Brisbane, Australia.
|
Gold, N;
Purves, R;
Himonides, E;
(2019)
Computers, Making, Music, and Design.
Presented at: Computational Sciences for the 21st Century: 3rd UCL eResearch Domain Symposium, London, UK.
|
Thesis
Adham, Manal Tarek;
(2019)
A Decomposition-Based Ecosystem-Inspired Approach For Solving Real-World Logistics Problems.
Doctoral thesis (Ph.D), UCL (University College London).
|
Al-Subaihin, Afnan A.;
(2019)
Software Engineering in the Age of App Stores: Feature-Based Analyses to Guide Mobile Software Engineers.
Doctoral thesis (Ph.D), UCL (University College London).
|
Bootle, Jonathan;
(2019)
Designing Efficient Zero-Knowledge Proofs in the Ideal Linear Commitment Model.
Doctoral thesis (Ph.D), UCL (University College London).
|
Borghini, Giulia;
(2019)
Listening in a second language: a pupillometric investigation of the effect of semantic and acoustic cues on listening effort.
Doctoral thesis (Ph.D), UCL (University College London).
|
Busari, Saheed Abiola;
(2019)
Modelling and Analysing Software Requirements and Architecture Decisions under Uncertainty.
Doctoral thesis (Ph.D), UCL (University College London).
|
Calian, Dan;
(2019)
Customised Light Probes and Inverse Lighting Methods for Relighting.
Doctoral thesis (Eng.D), UCL (University College London).
|
Cerulli, Andrea;
(2019)
Efficient Zero-Knowledge Proofs and their Applications.
Doctoral thesis (Ph.D), UCL (University College London).
|
Cho, Youngjun;
(2019)
Mobile Thermography-based Physiological Computing for Automatic Recognition of a Person’s Mental Stress.
Doctoral thesis (Ph.D), UCL (University College London).
|
Cousins, Simon;
(2019)
Discriminative learning for structured outputs and environments.
Doctoral thesis (Ph.D), UCL (University College London).
|
Docherty, Simon Robert;
(2019)
Bunched logics: a uniform approach.
Doctoral thesis (Ph.D), UCL (University College London).
|
Gvozdiev, Nikola;
(2019)
On Routing Wide-Area Network Traffic with High Utilization and Low Latency.
Doctoral thesis (Ph.D), UCL (University College London).
|
Han, DongGyun;
(2019)
Supporting Modern Code Review.
Doctoral thesis (Ph.D), UCL (University College London).
|
Jahangirova, Gunel;
(2019)
Oracle Assessment, Improvement and Placement.
Doctoral thesis (Ph.D), UCL (University College London).
|
Jeuk, Sebastian;
(2019)
A tenant-aware identification scheme for Cloud Computing -- Universal Cloud Classification (UCC).
Doctoral thesis (Ph.D), UCL (University College London).
|
Kaminski, Benjamin Lucien;
(2019)
Advanced weakest precondition calculi for probabilistic programs.
Doctoral thesis (Ph.D), RWTH Aachen University.
|
Kanthan, Leslie;
(2019)
Efficient Graph Construction for Similarity Search on High Dimensional Data.
Doctoral thesis (Ph.D), UCL (University College London).
|
Law, Timothy Tao Hin;
(2019)
Machine learning in portfolio and risk management.
Doctoral thesis (Ph.D), UCL (University College London).
|
Lockhart, Joshua;
(2019)
Combinatorial structures in quantum information.
Doctoral thesis (Ph.D), UCL (University College London).
|
Marinescu, Rǎzvan V.;
(2019)
Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy.
Doctoral thesis (Ph.D), UCL (University College London).
|
Mazorra Blanco, Rodrigo;
(2019)
A Data Science approach to behavioural change: large scale interventions on physical activity and weight loss.
Doctoral thesis (Ph.D), UCL (University College London).
|
Montano Murillo, Roberto A.;
(2019)
Computational Interaction Techniques for 3D Selection, Manipulation and Navigation in Immersive VR.
Doctoral thesis (Ph.D), University of Sussex.
|
Norvaisas, P;
(2019)
Interaction between host, microbiota, diet and drugs in C. elegans and E. coli.
Doctoral thesis (Ph.D), UCL (University College London).
|
Onaolapo, Jeremiah;
(2019)
Honeypot boulevard: understanding malicious activity via decoy accounts.
Doctoral thesis (Ph.D), UCL (University College London).
|
Onwuzurike, Lucky;
(2019)
Measuring and Mitigating Security and Privacy Issues on Android Applications.
Doctoral thesis (Ph.D), UCL (University College London).
|
Pinto Souza, Tharsis Tuani;
(2019)
The Impact of Social Mood on Stock Markets.
Doctoral thesis (Ph.D), UCL (University College London).
|
Pyrgelis, Apostolos;
(2019)
Evaluating Privacy-Friendly Mobility Analytics on Aggregate Location Data.
Doctoral thesis (Ph.D), UCL (University College London).
|
Rennert, Peter;
(2019)
User Assisted Computer Vision for Biology.
Doctoral thesis (Ph.D), UCL (University College London).
|
Singh, Gaurav;
(2019)
Text Classification.
Doctoral thesis (Ph.D), UCL (University College London).
|
Spithourakis, Georgios P;
(2019)
Numeracy of Language Models: Joint Modelling of Words and Numbers.
Doctoral thesis (Ph.D), UCL (University College London).
|
Spring, Jonathan Michael;
(2019)
Human decision-making in computer security incident response.
Doctoral thesis (Ph.D), UCL (University College London).
|
Subotic, Pavle;
(2019)
Scalable Logic Defined Static Analysis.
Doctoral thesis (Ph.D), UCL (University College London).
|
Walton, David R.;
(2019)
Improved Real-Time Rendering for Mixed Reality.
Doctoral thesis (Eng.D), UCL (University College London).
|
Wang, Yangtuanfeng;
(2019)
Generating High-quality 3D Assets from Easy-to-access 2D content.
Doctoral thesis (Ph.D), UCL (University College London).
|
Worrall, Daniel Ernest;
(2019)
Equivariance For Deep Learning And Retinal Imaging.
Doctoral thesis (Ph.D), UCL (University College London).
|
Zapata Fonseca, Octavio Baltasar;
(2019)
Logical Aspects of Probability and Quantum Computation.
Doctoral thesis (Ph.D), UCL (University College London).
|
Zhang, Jiaying;
(2019)
Applications of NODDI for imaging in vivo white matter pathology in neurodegenerative diseases.
Doctoral thesis (Ph.D), UCL (University College London).
|
Dataset
Morris, J;
Becker, IF;
Parkin, S;
(2019)
In Control with no Control: Perceptions and Reality of Windows 10 Home Edition Update Features.
[Dataset].
UCL (Department of Security and Crime Science): Workshop on Usable Security, USEC '19.
|