List of works - John Shawe-Taylor

A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation

scientific article published in November 2017

A multiple hold-out framework for Sparse Partial Least Squares.

scientific article published on 25 June 2016

An Unsupervised Neural Network Approach to Profiling the Behavior of Mobile Phone Users for Use in Fraud Detection

Biomarker discovery by sparse canonical correlation analysis of complex clinical phenotypes of tuberculosis and malaria

scientific article

Canonical correlation analysis: an overview with application to learning methods

scientific article

Challenges in Representation Learning: A Report on Three Machine Learning Contests

scholarly article by Ian J. Goodfellow et al published 2013 in Lecture Notes in Computer Science

Challenges in representation learning: a report on three machine learning contests

scientific article published on 29 December 2014

Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important

scientific article published on 17 March 2019

Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding.

scientific article published on 13 October 2015

Data-Dependent Structural Risk Minimization for Perceptron Decision Trees ⬇️

Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine.

scientific article

Directional migration of recirculating lymphocytes through lymph nodes via random walks

scientific article

Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction

scientific article published on 3 February 2014

Dynamically Adapting Kernels in Support Vector Machines ⬇️

Efficient sparse kernel feature extraction based on partial least squares.

scientific article

Empirical Risk Minimization Under Fairness Constraints ⬇️

Expert-Level Automated Malaria Diagnosis on Routine Blood Films with Deep Neural Networks

scientific article published on 13 April 2020

Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning

scientific article

Eyetracking Metrics in Young Onset Alzheimer's Disease: A Window into Cognitive Visual Functions

scientific article

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires

scientific article published on 10 January 2017

Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression

scientific article published on 19 August 2015

Generalisation of A Class of Continuous Neural Networks ⬇️

scientific article published in January 1996

Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook

Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing

article

High-probability minimax probability machines

Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis ⬇️

scientific article published in January 2003

Large Margin DAGs for Multiclass Classification ⬇️

Learning Semantic Similarity ⬇️

scientific article published in January 2003

Learning in Stochastic Bit Stream Neural Networks

scientific article published on August 1996

Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus).

scientific article

Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks ⬇️

scientific article published in January 2014

Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain-Behavior Relationships

scientific article published on 10 December 2019

Neural prediction of higher-order auditory sequence statistics ⬇️

scientific article published on October 20, 2010

On Kernel-Target Alignment ⬇️

On the Concentration of Spectral Properties ⬇️

Optimizing Classifers for Imbalanced Training Sets ⬇️

PAC-Bayes & Margins ⬇️

scientific article published in January 2003

PAC-Bayes bounds for stable algorithms with instance-dependent priors ⬇️

scholarly article by Omar Rivasplata et al published 2018 in Advances in Neural Information Processing Systems 31

PAC-Bayesian Analysis of Contextual Bandits ⬇️

Parsimonious test of dynamic interaction

scientific article published on 08 February 2019

Patient classification as an outlier detection problem: an application of the One-Class Support Vector Machine

scientific article

Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

scientific article published on 08 September 2021

Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing

article

SCoRS--A Method Based on Stability for Feature Selection and Mapping inNeuroimaging [corrected].

scientific article

Semi-Definite Programming by Perceptron Learning ⬇️

scientific article published in January 2004

Semi-supervised feature learning from clinical text

Sigmoid neural transfer function realized by percolation.

scientific article

Sparse network-based models for patient classification using fMRI.

scientific article

Specificity, Privacy, and Degeneracy in the CD4 T Cell Receptor Repertoire Following Immunization

scientific article

Spectral Kernel Methods for Clustering ⬇️

article in Advances in Neural Information Processing Systems 14

String Kernels, Fisher Kernels and Finite State Automata ⬇️

scientific article published in January 2003

Support Vector Method for Novelty Detection ⬇️

scientific article published in January 2000

Text Classification using String Kernels ⬇️

The Decision List Machine ⬇️

scientific article published in January 2003

The Entropy Regularization Information Criterion ⬇️

The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour

scientific article published on 10 June 2020

The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

scientific article published on 18 October 2017

The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum ⬇️

scientific article published in January 2003

The immune system as a biomonitor: explorations in innate and adaptive immunity.

scientific article published on April 2013

Theory of matching pursuit ⬇️

Threshold Network Learning in the Presence of Equivalences ⬇️

scientific article published in January 1992

Tighter PAC-Bayes Bounds ⬇️

scientific article published in January 2007

Tracking global changes induced in the CD4 T cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence

Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence

scientific article

Two view learning: SVM-2K, Theory and Practice ⬇️

scientific article published in January 2006

Unsupervised analysis of fMRI data using kernel canonical correlation

scientific article

List of works by John Shawe-Taylor

A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation

A multiple hold-out framework for Sparse Partial Least Squares.

An Unsupervised Neural Network Approach to Profiling the Behavior of Mobile Phone Users for Use in Fraud Detection

Biomarker discovery by sparse canonical correlation analysis of complex clinical phenotypes of tuberculosis and malaria

Canonical correlation analysis: an overview with application to learning methods

Challenges in Representation Learning: A Report on Three Machine Learning Contests

Challenges in representation learning: a report on three machine learning contests

Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important

Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding.

Data-Dependent Structural Risk Minimization for Perceptron Decision Trees ⬇️

Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine.

Directional migration of recirculating lymphocytes through lymph nodes via random walks

Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction

Dynamically Adapting Kernels in Support Vector Machines ⬇️

Efficient sparse kernel feature extraction based on partial least squares.

Empirical Risk Minimization Under Fairness Constraints ⬇️

Expert-Level Automated Malaria Diagnosis on Routine Blood Films with Deep Neural Networks

Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning

Eyetracking Metrics in Young Onset Alzheimer's Disease: A Window into Cognitive Visual Functions

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires

Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression

Generalisation of A Class of Continuous Neural Networks ⬇️

Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook

Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing

High-probability minimax probability machines

Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis ⬇️

Large Margin DAGs for Multiclass Classification ⬇️

Learning Semantic Similarity ⬇️

Learning in Stochastic Bit Stream Neural Networks

Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus).

Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks ⬇️

Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain-Behavior Relationships

Neural prediction of higher-order auditory sequence statistics ⬇️

On Kernel-Target Alignment ⬇️

On the Concentration of Spectral Properties ⬇️

Optimizing Classifers for Imbalanced Training Sets ⬇️

PAC-Bayes & Margins ⬇️

PAC-Bayes bounds for stable algorithms with instance-dependent priors ⬇️

PAC-Bayesian Analysis of Contextual Bandits ⬇️

Parsimonious test of dynamic interaction

Patient classification as an outlier detection problem: an application of the One-Class Support Vector Machine

Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing

SCoRS--A Method Based on Stability for Feature Selection and Mapping inNeuroimaging [corrected].

Semi-Definite Programming by Perceptron Learning ⬇️

Semi-supervised feature learning from clinical text

Sigmoid neural transfer function realized by percolation.

Sparse network-based models for patient classification using fMRI.

Specificity, Privacy, and Degeneracy in the CD4 T Cell Receptor Repertoire Following Immunization

Spectral Kernel Methods for Clustering ⬇️

String Kernels, Fisher Kernels and Finite State Automata ⬇️

Support Vector Method for Novelty Detection ⬇️

Text Classification using String Kernels ⬇️

The Decision List Machine ⬇️

The Entropy Regularization Information Criterion ⬇️

The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour

The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum ⬇️

The immune system as a biomonitor: explorations in innate and adaptive immunity.

Theory of matching pursuit ⬇️

Threshold Network Learning in the Presence of Equivalences ⬇️

Tighter PAC-Bayes Bounds ⬇️

Tracking global changes induced in the CD4 T cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence

Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence

Two view learning: SVM-2K, Theory and Practice ⬇️

Unsupervised analysis of fMRI data using kernel canonical correlation

Variational Inference for Diffusion Processes ⬇️

Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder