Publications

[O2–16–03]: MODELLING EYE‐TRACKING DATA TO DISCRIMINATE BETWEEN ALZHEIMER’S PATIENTS AND HEALTHY CONTROLS

Samuel Parsons,

David Martinez Rego,

John Shawe‐Taylor,

Silvia Primativo,

The Alzheimer's Association, Inc.

2017

+ GMD FIRST

Bernhard Schölkopf,

John Shawe-Taylor,

Alex J Smola,

Institution of Electrical Engineers

1999

08391 Working Group Summary–Analyzing Tag Semantics Across Tagging Systems

Schloss Dagstuhl-Leibniz-Zentrum für Informatik

2008

1-factorisation of the Composition of Regular Graphs

1279 Do Carotid Webs Raise the Risk of Ischaemic Stroke? a 12 Year Single Centre Retrospective Study

L Erete,

Shah Islam,

S Glasgow,

Oxford University Press

2023

18F-FDG PET/CT and Non 18F-FDG-PET/CT in Treatment Response Evaluation in Neuro-Oncology

Springer International Publishing

2021

18F-Fluoropivalate PET/MRI: imaging of treatment naïve patients and patients treated with radiosurgery

1J. Stefan Institute, Artificial Intelligence Lab., Jamova 39, 61000 Ljubljana, Slovenia Phone:(+ 38)(61) 1773 272, Fax:(+ 38)(61) 1258-158 2Faculty of Electr. Eng. and …

Marko Grobelnik,

Ray J Paul,

Ivan Bratko,

1st iteration of a module for knowledge extraction from unstructured sources

4.6 Scenarios that Invite Conversational Search

7 Women in Rural Areas and Analytical Approaches to Empowerment of Women

A balanced route design for min-max multiple-depot rural postman problem (mmmdrpp): a police patrolling case

A capillary computing architecture for dynamic internet of things: Orchestration of microservices from edge devices to fog and cloud providers

A column generation algorithm for boosting

A commonsense-infused language-agnostic learning framework for enhancing prediction of political bias in multilingual news headlines

Swati Swati,

Adrian Mladenić Grobelnik,

Dunja Mladenić,

Elsevier

2023

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines

Swati Swati,

Adrian Mladenić Grobelnik,

Dunja Mladenić,

2022

A comparison of relaxations of multiset cannonical correlation analysis and applications

A Comparison of Some Ferroin-yielding chromogens as Analytical Reagents for Spectrophometric Determination of the Iron in Water Samples

ATMT Ahmed,

KS Sultana,

Shah Islam,

BANGLADESH ACADEMY OF SCIENCES-DHAKA

2001

A comparison of variational and Markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems

A concept language model for ad-hoc retrieval

A Correlation Approach for Automatic Image

David R Hardoon,

Craig Saunders,

Sandor Szedmak,

A correlation approach for automatic image annotation

David R Hardoon,

Craig Saunders,

Sandor Szedmak,

Springer Berlin Heidelberg

2006

A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation

F1000 Research Limited

2022

A framework for probability density estimation

A Framework for Regularised Canonical Correlation Analysis by Alternating Least Squares

James Chapman,

John Shawe-Taylor,

Janaina Mourao-Miranda,

2023

A framework for structural risk minimisation

A geometric interpretation and analysis of r-precision

Javed A Aslam,

Emine Yilmaz,

2005

A geometric interpretation of r-precision and its correlation with average precision

A global COVID-19 observatory, monitoring the pandemics through text mining and visualization

A high-performance multithreaded approach for clustering a stream of documents

A kernel canonical correlation analysis for learning the semantics of text

A Kernel Canonical Correlation Analysis for Learning the Semantics of Text

A kernel regression framework for SMT

A methodological approach to tracing cell lineage in human epithelial tissues

Oxford University Press

2009

A Multi-Scale methodology for explaining data streams

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning (preprint)

A multimodal multiple kernel learning approach to Alzheimer’s disease detection

Michele Donini,

Joao M Monteiro,

Massimiliano Pontil,

Janaina Mourao-Miranda,

IEEE

2016

A multiple hold-out framework for sparse partial least squares

Joao M Monteiro,

Anil Rao,

John Shawe-Taylor,

Alzheimer's Disease Initiative,

Elsevier

2016

A Multiplicative Updating Algorithm for Training Support Vector Machines

Nello Cristianini,

Colin Campbell,

John Shawe-Taylor,

A national initiative in data science for health: an evaluation of the UK Farr Institute

A neural accelerator for graph colouring based on an edge adding technique

A neural candidate-selector architecture for automatic structured clinical text annotation

A New Algorithm for Finding Frequent Items in Streams of Data

Klemen Simonic,

Janez Brank,

Marko Grobelnik,

A New Feature Selection Method Based on Stability Theory–Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data

Jane M Rondina,

John Shawe-Taylor,

Janaina Mourao-Miranda,

Springer Berlin Heidelberg

2012

A New Incremental Learning

Nick Dunkin,

John Shawe-Taylor,

Pascal Koiran,

A new incremental learning technique

A new metric of crime hotspots for Operational Policing Monsuru Adepeju

A new rank correlation coefficient for information retrieval

A nonconformity approach to model selection for SVMs

A note on improved loss bounds for multiple kernel learning

Zakria Hussain,

John Shawe-Taylor,

2011

A PAC analysis of a Bayesian estimator

A PAC-Bayes bound for tailored density estimation

Matthew Higgs,

John Shawe-Taylor,

Springer Berlin Heidelberg

2010

A PAC-Bayesian perspective on structured prediction with implicit loss embeddings

Théophile Cantelobre,

Benjamin Guedj,

María Pérez-Ortiz,

2020

A probabilistic model for text kernels

Alain Lehmann,

John Shawe-Taylor,

2006

A quantitative multiparametric 18 F-FPIA PET/MRI study for the characterization of primary brain gliomas

Marianna Inglese,

Shah Islam,

Matthew Grech-Sollars,

James Davies,

A recurrent network with stochastic weights

A result of Vapnik with applications

Martin Anthony,

John Shawe-Taylor,

Amsterdam: North Holland.

1994

A result of Vapnik with applications

A review of optimization methodologies in support vector machines

Publications

[O2–16–03]: MODELLING EYE‐TRACKING DATA TO DISCRIMINATE BETWEEN ALZHEIMER’S PATIENTS AND HEALTHY CONTROLS

+ GMD FIRST

08391 Working Group Summary–Analyzing Tag Semantics Across Tagging Systems

1-factorisation of the Composition of Regular Graphs

1279 Do Carotid Webs Raise the Risk of Ischaemic Stroke? a 12 Year Single Centre Retrospective Study

18F-FDG PET/CT and Non 18F-FDG-PET/CT in Treatment Response Evaluation in Neuro-Oncology

18F-Fluoropivalate PET/MRI: imaging of treatment naïve patients and patients treated with radiosurgery

1J. Stefan Institute, Artificial Intelligence Lab., Jamova 39, 61000 Ljubljana, Slovenia Phone:(+ 38)(61) 1773 272, Fax:(+ 38)(61) 1258-158 2Faculty of Electr. Eng. and …

1st iteration of a module for knowledge extraction from unstructured sources

4.6 Scenarios that Invite Conversational Search

7 Women in Rural Areas and Analytical Approaches to Empowerment of Women

A balanced route design for min-max multiple-depot rural postman problem (mmmdrpp): a police patrolling case

A capillary computing architecture for dynamic internet of things: Orchestration of microservices from edge devices to fog and cloud providers

A column generation algorithm for boosting

A commonsense-infused language-agnostic learning framework for enhancing prediction of political bias in multilingual news headlines

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines

A comparison of relaxations of multiset cannonical correlation analysis and applications

A Comparison of Some Ferroin-yielding chromogens as Analytical Reagents for Spectrophometric Determination of the Iron in Water Samples

A comparison of variational and Markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems

A concept language model for ad-hoc retrieval

A Correlation Approach for Automatic Image

A correlation approach for automatic image annotation

A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation

A framework for probability density estimation

A Framework for Regularised Canonical Correlation Analysis by Alternating Least Squares

A framework for structural risk minimisation

A geometric interpretation and analysis of r-precision

A geometric interpretation of r-precision and its correlation with average precision

A global COVID-19 observatory, monitoring the pandemics through text mining and visualization

A high-performance multithreaded approach for clustering a stream of documents

A kernel canonical correlation analysis for learning the semantics of text

A Kernel Canonical Correlation Analysis for Learning the Semantics of Text

A kernel regression framework for SMT

A methodological approach to tracing cell lineage in human epithelial tissues

A Multi-Scale methodology for explaining data streams

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning (preprint)

A multimodal multiple kernel learning approach to Alzheimer’s disease detection

A multiple hold-out framework for sparse partial least squares

A Multiplicative Updating Algorithm for Training Support Vector Machines

A national initiative in data science for health: an evaluation of the UK Farr Institute

A neural accelerator for graph colouring based on an edge adding technique

A neural candidate-selector architecture for automatic structured clinical text annotation

A New Algorithm for Finding Frequent Items in Streams of Data

A New Feature Selection Method Based on Stability Theory–Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data

A New Incremental Learning

A new incremental learning technique

A new metric of crime hotspots for Operational Policing Monsuru Adepeju

A new rank correlation coefficient for information retrieval

A nonconformity approach to model selection for SVMs

A note on improved loss bounds for multiple kernel learning

A PAC analysis of a Bayesian estimator

A PAC-Bayes bound for tailored density estimation

A PAC-Bayesian perspective on structured prediction with implicit loss embeddings

A probabilistic model for text kernels

A quantitative multiparametric 18 F-FPIA PET/MRI study for the characterization of primary brain gliomas

A recurrent network with stochastic weights

A result of Vapnik with applications

A result of Vapnik with applications

A review of optimization methodologies in support vector machines

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