Lista de obras - John Shawe-Taylor - Dominio Público Uruguay

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

artículo científico publicado en 2017

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

artículo científico publicado en 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

artículo científico publicado en 2013

Canonical correlation analysis: an overview with application to learning methods

artículo científico publicado en 2004

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

artículo científico publicado en 2014

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

artículo científico publicado en 2019

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

artículo científico publicado en 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.

artículo científico publicado en 2013

Directional migration of recirculating lymphocytes through lymph nodes via random walks

artículo científico publicado en 2012

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

artículo científico publicado en 2014

Dynamically Adapting Kernels in Support Vector Machines ⬇️

Efficient sparse kernel feature extraction based on partial least squares.

artículo científico publicado en 2009

Empirical Risk Minimization Under Fairness Constraints ⬇️

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

artículo científico publicado en 2020

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

artículo científico publicado en 2012

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

artículo científico publicado en 2017

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

artículo científico publicado en 2017

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

artículo científico publicado en 2015

Generalisation of A Class of Continuous Neural Networks ⬇️

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2003

Large Margin DAGs for Multiclass Classification ⬇️

Learning Semantic Similarity ⬇️

artículo científico publicado en 2003

Learning in Stochastic Bit Stream Neural Networks

artículo científico publicado en 1996

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

artículo científico publicado en 2012

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

artículo científico publicado en 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 ⬇️

artículo científico publicado el 20 de octubre de 2010

On Kernel-Target Alignment ⬇️

On the Concentration of Spectral Properties ⬇️

Optimizing Classifers for Imbalanced Training Sets ⬇️

PAC-Bayes & Margins ⬇️

artículo científico publicado en 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

artículo científico publicado en 2019

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

artículo científico publicado en 2011

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

artículo científico publicado en 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].

artículo científico publicado en 2013

Semi-Definite Programming by Perceptron Learning ⬇️

artículo científico publicado en 2004

Semi-supervised feature learning from clinical text

Sigmoid neural transfer function realized by percolation.

artículo científico publicado en 1996

Sparse network-based models for patient classification using fMRI.

artículo científico publicado en 2014

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

artículo científico publicado en 2017

Spectral Kernel Methods for Clustering ⬇️

article in Advances in Neural Information Processing Systems 14

String Kernels, Fisher Kernels and Finite State Automata ⬇️

artículo científico publicado en 2003

Support Vector Method for Novelty Detection ⬇️

artículo científico publicado en 2000

Text Classification using String Kernels ⬇️

The Decision List Machine ⬇️

artículo científico publicado en 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

artículo científico publicado en 2017

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

artículo científico publicado en 2003

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

artículo científico publicado en 2013

Theory of matching pursuit ⬇️

Threshold Network Learning in the Presence of Equivalences ⬇️

artículo científico publicado en 1992

Tighter PAC-Bayes Bounds ⬇️

artículo científico publicado en 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

artículo científico publicado en 2014

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

artículo científico publicado en 2006

Unsupervised analysis of fMRI data using kernel canonical correlation

artículo científico publicado en 2007

Lista de obras de 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