Articles with public access mandates - John Shawe-TaylorLearn more
Not available anywhere: 4
Leveraging clinical data to enhance localization of brain atrophy
JM Monteiro, A Rao, J Ashburner, J Shawe-Taylor, J Mourão-Miranda
Machine Learning and Interpretation in Neuroimaging: 4th International …, 2016
Mandates: Fundação para a Ciência e a Tecnologia, Portugal, Wellcome Trust
Multivariate effect ranking via adaptive sparse PLS
JM Monteiro, A Rao, J Ashburner, J Shawe-Taylor, J Mourão-Miranda
2015 International Workshop on Pattern Recognition in NeuroImaging, 25-28, 2015
Mandates: Fundação para a Ciência e a Tecnologia, Portugal, Wellcome Trust
Leveraging semantic knowledge graphs in educational recommenders to address the cold-start problem
S Bulathwela, M Pérez-Ortiz, E Yilmaz, J Shawe-Taylor
Semantic AI in Knowledge Graphs, 1-20, 2023
Mandates: US Department of Defense, Department of International Development, UK, UK …
Correlation Based Semantic Transfer with Application to Domain Adaptation
FC Calnegru, J Shawe-Taylor, I Kokkinos, R Pascanu
International Conference on Neural Information Processing, 588-599, 2022
Mandates: UK Engineering and Physical Sciences Research Council
Available somewhere: 68
Empirical risk minimization under fairness constraints
M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil
Advances in neural information processing systems 31, 2018
Mandates: UK Engineering and Physical Sciences Research Council
The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation
S Michie, J Thomas, M Johnston, PM Aonghusa, J Shawe-Taylor, ...
Implementation Science 12, 1-12, 2017
Mandates: UK Arts & Humanities Research Council, Cancer Research UK, UK Medical …
Sparse network-based models for patient classification using fMRI
MJ Rosa, L Portugal, T Hahn, AJ Fallgatter, MI Garrido, J Shawe-Taylor, ...
Neuroimage 105, 493-506, 2015
Mandates: Australian Research Council, Wellcome Trust
PAC-Bayes bounds with data dependent priors
E Parrado-Hernández, A Ambroladze, J Shawe-Taylor, S Sun
The Journal of Machine Learning Research 13 (1), 3507-3531, 2012
Mandates: Government of Spain
A tutorial on canonical correlation methods
V Uurtio, JM Monteiro, J Kandola, J Shawe-Taylor, D Fernandez-Reyes, ...
ACM Computing Surveys (CSUR) 50 (6), 1-33, 2017
Mandates: Academy of Finland, Fundação para a Ciência e a Tecnologia, Portugal, UK …
Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence
N Thomas, K Best, M Cinelli, S Reich-Zeliger, H Gal, E Shifrut, A Madi, ...
Bioinformatics 30 (22), 3181-3188, 2014
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Tighter risk certificates for neural networks
M Pérez-Ortiz, O Rivasplata, J Shawe-Taylor, C Szepesvári
Journal of Machine Learning Research 22 (227), 1-40, 2021
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding
K Best, T Oakes, JM Heather, J Shawe-Taylor, B Chain
Scientific reports 5 (1), 14629, 2015
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Local online kernel ridge regression for forecasting of urban travel times
J Haworth, J Shawe-Taylor, T Cheng, J Wang
Transportation research part C: emerging technologies 46, 151-178, 2014
Mandates: UK Engineering and Physical Sciences Research Council
PAC-Bayes analysis beyond the usual bounds
O Rivasplata, I Kuzborskij, C Szepesvári, J Shawe-Taylor
Advances in Neural Information Processing Systems 33, 16833-16845, 2020
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
SCoRS—A method based on stability for feature selection and mapping in neuroimaging
JM Rondina, T Hahn, L de Oliveira, AF Marquand, T Dresler, T Leitner, ...
IEEE transactions on medical imaging 33 (1), 85-98, 2013
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust
Eyetracking metrics in young onset Alzheimer’s disease: a window into cognitive visual functions
IM Pavisic, NC Firth, S Parsons, DM Rego, TJ Shakespeare, KXX Yong, ...
Frontiers in neurology 8, 377, 2017
Mandates: Alzheimers's UK, UK Engineering and Physical Sciences Research Council, UK …
Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires
M Cinelli, Y Sun, K Best, JM Heather, S Reich-Zeliger, E Shifrut, ...
Bioinformatics 33 (7), 951-955, 2017
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Practical Bayesian support vector regression for financial time series prediction and market condition change detection
T Law, J Shawe-Taylor
Quantitative Finance 17 (9), 1403-1416, 2017
Mandates: UK Engineering and Physical Sciences Research Council
PAC-Bayes analysis of multi-view learning
S Sun, J Shawe-Taylor, L Mao
Information Fusion 35, 117-131, 2017
Mandates: National Natural Science Foundation of China
A multiple hold-out framework for sparse partial least squares
JM Monteiro, A Rao, J Shawe-Taylor, J Mourao-Miranda, ...
Journal of neuroscience methods 271, 182-194, 2016
Mandates: US National Institutes of Health, Canadian Institutes of Health Research …
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