John Shawe-Taylor
Orcid: 0000-0002-2030-0073Affiliations:
- University College, London, UK
According to our database1,
John Shawe-Taylor
authored at least 300 papers
between 1981 and 2025.
Collaborative distances:
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
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Bibliography
2025
2024
Transfer and zero-shot learning for scalable weed detection and classification in UAV images.
Knowl. Based Syst., 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems.
Int. J. Hum. Comput. Stud., September, 2023
Neurocomputing, June, 2023
Frontiers Comput. Sci., 2023
Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models.
CoRR, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Inf. Fusion, 2022
Dagstuhl Reports, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments.
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture.
Patterns, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021
2020
SIGIR Forum, 2020
Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy.
Neurocomputing, 2020
CoRR, 2020
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement.
CoRR, 2020
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 13th International Conference on Educational Data Mining, 2020
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.
NeuroImage, 2019
Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation.
CoRR, 2019
Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data.
CoRR, 2019
Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy.
CoRR, 2019
2018
Int. J. Geogr. Inf. Sci., 2018
A Balanced Route Design for Min-Max Multiple-Depot Rural Postman Problem (MMMDRPP): a police patrolling case.
Int. J. Geogr. Inf. Sci., 2018
Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection.
CoRR, 2018
CoRR, 2018
Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings.
CoRR, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Neural Networks, 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
2014
Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging".
IEEE Trans. Medical Imaging, 2014
SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging.
IEEE Trans. Medical Imaging, 2014
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction.
Medical Image Anal., 2014
Neurocomputing, 2014
Proceedings of the 2nd International Conference on Learning Representations, 2014
Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence.
Bioinform., 2014
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Deep-er Kernels.
Proceedings of the ICPRAM 2014, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
Theor. Comput. Sci., 2013
Biomarker Discovery by Sparse Canonical Correlation Analysis of Complex Clinical Phenotypes of Tuberculosis and Malaria.
PLoS Comput. Biol., 2013
A Comparison of Relaxations of Multiset Cannonical Correlation Analysis and Applications
CoRR, 2013
Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine.
Bioinform., 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013
2012
PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits.
Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
2011
IEEE Trans. Inf. Theory, 2011
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine.
NeuroImage, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011
Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning.
J. Mach. Learn. Res., 2011
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011
Neurocomputing, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
A New Feature Selection Method Based on Stability Theory - Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
2010
Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010
A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.
J. Signal Process. Syst., 2010
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels.
Mach. Learn., 2010
J. Mach. Learn. Res., 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the 2nd Asian Conference on Machine Learning, 2010
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010
Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010
Proceedings of the Intelligent Information Processing V, 2010
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010
Proceedings of the 19th International Conference on Computational Statistics, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods.
Cambridge University Press, ISBN: 978-0-521-78019-3, 2010
2009
User Model. User Adapt. Interact., 2009
IEEE Trans. Pattern Anal. Mach. Intell., 2009
Mach. Learn., 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Data Min. Knowl. Discov., 2009
Discret. Appl. Math., 2009
GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison.
Connect. Sci., 2009
Proceedings of Machine Translation Summit XII: Papers, 2009
Proceedings of the Formal Grammar - 14th International Conference, 2009
Proceedings of the Workshop on Statistical Multilingual Analysis for Retrieval and Translation, 2009
Proceedings of the Workshop on Statistical Multilingual Analysis for Retrieval and Translation, 2009
2008
Intell. Data Anal., 2008
Kernel Regression Framework for Machine Translation: UCL System Description for WMT 2008 Shared Translation Task.
Proceedings of the Third Workshop on Statistical Machine Translation, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
NeuroImage, 2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data.
J. Mach. Learn. Res., 2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Proceedings of the Gaussian Processes in Practice, 2007
Inf. Process. Manag., 2007
Neurocomputing, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007
New feature selection frameworks in emotion recognition to evaluate the informative power of speech related features.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Approximate maximum margin algorithms with rules controlled by the number of mistakes.
Proceedings of the Machine Learning, 2007
2006
J. Mach. Learn. Res., 2006
Using KCCA for Japanese-English cross-language information retrieval and document classification.
J. Intell. Inf. Syst., 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006
2005
IEEE Trans. Inf. Theory, 2005
Pattern Recognit. Lett., 2005
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.
Mach. Learn., 2005
J. Mach. Learn. Res., 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Machine Learning Challenges, 2005
An Investigation of Feature Models for Music Genre Classification Using the Support Vector Classifier.
Proceedings of the ISMIR 2005, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005
2004
Neural Comput., 2004
Proceedings of the Structural, 2004
Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004
Cambridge University Press, ISBN: 978-0-521-81397-6, 2004
Cambridge University Press, ISBN: 9780511809682, 2004
2003
Proceedings of the 17th Pacific Asia Conference on Language, Information and Computation, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Machine Learning, 2003
Proceedings of the Machine Learning, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003
2002
Proceedings of The Eleventh Text REtrieval Conference, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Syllables and other String Kernel Extensions.
Proceedings of the Machine Learning, 2002
The Perceptron Algorithm with Uneven Margins.
Proceedings of the Machine Learning, 2002
On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum.
Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002
2001
An Unsupervised Neural Network Approach to Profiling the Behavior of Mobile Phone Users for Use in Fraud Detection.
J. Parallel Distributed Comput., 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Learning with the Set Covering Machine.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Composite Kernels for Hypertext Categorisation.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
2000
Proceedings of the Practice and Theory of Automated Timetabling III, 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000
Direct Bayes Point Machines.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
A Column Generation Algorithm For Boosting.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Sparsity vs. Large Margins for Linear Classifiers.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000
Generalisation Error Bounds for Sparse Linear Classifiers.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000
Cambridge University Press, ISBN: 9780511801389, 2000
1999
Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT'97.
Mach. Learn., 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Large Margin Trees for Induction and Transduction.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999
Proceedings of the Computational Learning Theory, 4th European Conference, 1999
Proceedings of the Computational Learning Theory, 4th European Conference, 1999
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999
1998
IEEE Trans. Inf. Theory, 1998
Discret. Appl. Math., 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
A Neural Accelerator for Graph Colouring Based on an Edge Adding Technique.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
1997
Discret. Appl. Math., 1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Field-Programmable Logic and Applications, 7th International Workshop, 1997
Proceedings of the Computational Learning Theory, Third European Conference, 1997
Proceedings of the Tenth Annual Conference on Computational Learning Theory, 1997
1996
Pattern Recognit. Lett., 1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Proceedings of the 6th Data Compression Conference (DCC '96), Snowbird, Utah, USA, March 31, 1996
Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996
1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995
Proceedings of the Algorithmic Learning Theory, 6th International Conference, 1995
1994
Discret. Math., 1994
Proceedings of the Graph Drawing, DIMACS International Workshop, 1994
1993
IEEE Trans. Neural Networks, 1993
Discret. Appl. Math., 1993
Comb. Probab. Comput., 1993
Valid generalisation of functions from close approximations on a sample.
Proceedings of the First European Conference on Computational Learning Theory, 1993
1992
Neural Networks, 1992
Proceedings of the Combinatorial Pattern Matching, Third Annual Symposium, 1992
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992
1991
Proceedings of the Advances in Neural Information Processing Systems 4, 1991
1990
Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990
1988
1987
J. Inf. Technol., 1987
J. Comb. Theory B, 1987
Eur. J. Comb., 1987
1985
J. Comb. Theory B, 1985
1983
1981
Discret. Math., 1981