Publications

Advances in Information Retrieval: 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013, Proceedings

Pavel Serdyukov,

Pavel Braslavski,

Sağlık çalışanlarının organ nakli ve bağışına ilişkin düşünceleri

Emine Yilmaz,

2006

Characterization of oncolytic vaccinia virus harboring the human IFNB1 and CES2 transgenes

Euna Cho,

SM Bakhtiar Ul Islam,

Fen Jiang,

Bora Lee,

Korean Cancer Association

2020

Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources

Semantic TrueLearn: using semantic knowledge graphs in recommendation systems

Report on the WSDM 2020 workshop on state-based user modelling (SUM’20)

Constructing artificial data for fine-tuning for low-resource biomedical text tagging with applications in pico annotation

Gaurav Singh,

Zahra Sabet,

John Shawe-Taylor,

Springer International Publishing

2021

Correlated feature selection with extended exclusive group lasso

Parsimonious test of dynamic interaction

Perturbation validation: A new heuristic to validate machine learning models

ACCME: Actively compressed conditional mean embeddings for model-based reinforcement learning

Ronnie Stafford,

John Shawe-Taylor,

2018

Adversarial sequential Monte Carlo

Kira Kempinska,

John Shawe-Taylor,

2017

Sparse network lasso for local high-dimensional regression

Multivariate effect ranking via adaptive sparse PLS

Joao M Monteiro,

Anil Rao,

John Ashburner,

Janaina Mourão-Miranda,

IEEE

2015

Pinview: Implicit feedback in content-based image retrieval

Drug screening with Elastic-net multiple kernel learning

Stability-based multivariate mapping using scors

Jane Maryam Rondina,

John Shawe-Taylor,

Janaina Mourao-Miranda,

IEEE

2013

Currency forecasting using multiple kernel learning with financially motivated features

Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010 …

Curran Associates, Inc.

2010

A nonconformity approach to model selection for SVMs

Pattern analysis for the prediction of fungal pro-peptide cleavage sites

Semantic dimensionality reduction for the classification of EEG according to musical tonality

Constant rate approximate maximum margin algorithms

Petroula Tsampouka,

John Shawe-Taylor,

Springer Berlin Heidelberg

2006

Core skills curriculum for information technology

Amiran Ambroladze,

John Shawe-Taylor,

2005

Learning the prior for the PAC-Bayes bound

E Parrado-Hernandez A Ambroladze,

John Shawe-Taylor,

Tech. Rep., Southampton, UK

2004

Direct Bayes point machines

Graph colouring by maximal evidence edge adding

Pete Burge,

John Shawe-Taylor,

Janez Žerovnik,

University of Ljubljana, Institut of Mathematics, Physics and Mechanics, Department of Mathematics

1998

The complexity of learning minor closed graph classes

Carlos Domingo,

John Shawe-Taylor,

Springer Berlin Heidelberg

1995

Coverings of complete bipartite graphs and associated structures

John Shawe-Taylor,

North-Holland

1994

Neural network optimization for good generalization performance

Learning Minor Closed Graph Classes with Membership and Equivalence Queries

John Shawe-Taylor,

Carlos Domingo,

Hans Bodlaender,

Universitat Politècnica de Catalunya

1994

Theory of symmetry network structure

Jeffrey Wood,

John Shawe-Taylor,

University of Southampton

1993

Fast expected two dimensional pattern matching

Jong Yong Kim,

John Shawe-Taylor,

Carleton University Press, International Informatics Series

1993

Analysis of the Mean Field Annealing Algorithm for Graph Bisection

John Shawe-Taylor,

Tomaz Pisanski,

Royal Holloway University of London, Department of Computer Science

1993

Proportion of primes generated by strong prime methods

John Shawe-Taylor,

1992

Daugman’s gabor transform as a simple generative back propagation network

Fast string matching in a stationary ergodic source

John Shawe-Taylor,

University of London. Royal Holloway and Bedford New College. Department of Computer Science

1990

Automorphism groups of primitive distance-bitransitive graphs are almost simple

John Shawe-Taylor,

1987

Regularity and transitivity in graphs

John Stewart Shawe-Taylor,

1986

Edge-colouring of Composite Regular Graphs

Physical Sciences: Search for a Trans-Plutonian Planet

APO Foss,

JS Shawe-Taylor,

DPD Whitworth,

Nature Publishing Group UK

1972

An introduction to support vector machines. 2000

N Christianini,

John Shawe-Taylor,

Cambridge University Press

Big Data and AI Pipeline Framework: Technology Analysis from a Benchmarking Perspective

Arne J Berre,

Aphrodite Tsalgatidou,

Chiara Francalanci,

Tomas Pariente-Lobo,

Springer International Publishing

2022

A semantic model for interchangeable microservices in cloud continuum computing

Multilevel Approach to Sensor Streams Analysis

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

Many faces of text processing

Marko Grobelnik,

2011

Extending the IST-World database with Serbian research publications

Archiving the Slovenian web: recent experiences

Alenka Kavcic-Colic,

Marko Grobelnik,

2004

Describing decision support, data mining, and text/web mining studies in SolEuNet

Ic-bait: An inferential commonsense-driven model for predicting political polarity in news headlines

Swati Swati,

Marko Grobelnik,

Rethinking semi-supervised learning with language models

Neural network for search retrieval and ranking

Corbin Louis Rosset,

Bhaskar Mitra,

David Anthony Hawking,

Fernando Diaz,

2023

Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources

Semantic TrueLearn: using semantic knowledge graphs in recommendation systems

Report on the WSDM 2020 workshop on state-based user modelling (SUM’20)

SIGIR 2013 workshop on modeling user behavior for information retrieval evaluation

BEHAVIORAL ASPECT OF ACCOUNTING TEACHERS’INFORMATION TECHNOLOGY USAGE

Advances on the development of evaluation measures

From fear to action: AI governance and opportunities for all

Publications

Advances in Information Retrieval: 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013, Proceedings

Sağlık çalışanlarının organ nakli ve bağışına ilişkin düşünceleri

Characterization of oncolytic vaccinia virus harboring the human IFNB1 and CES2 transgenes

Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources

Semantic TrueLearn: using semantic knowledge graphs in recommendation systems

Report on the WSDM 2020 workshop on state-based user modelling (SUM’20)

Constructing artificial data for fine-tuning for low-resource biomedical text tagging with applications in pico annotation

Correlated feature selection with extended exclusive group lasso

Parsimonious test of dynamic interaction

Perturbation validation: A new heuristic to validate machine learning models

ACCME: Actively compressed conditional mean embeddings for model-based reinforcement learning

Adversarial sequential Monte Carlo

Sparse network lasso for local high-dimensional regression

Multivariate effect ranking via adaptive sparse PLS

Pinview: Implicit feedback in content-based image retrieval

Drug screening with Elastic-net multiple kernel learning

Stability-based multivariate mapping using scors

Currency forecasting using multiple kernel learning with financially motivated features

Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010 …

A nonconformity approach to model selection for SVMs

Pattern analysis for the prediction of fungal pro-peptide cleavage sites

Semantic dimensionality reduction for the classification of EEG according to musical tonality

Constant rate approximate maximum margin algorithms

Core skills curriculum for information technology

Learning the prior for the PAC-Bayes bound

Direct Bayes point machines

Graph colouring by maximal evidence edge adding

The complexity of learning minor closed graph classes

Coverings of complete bipartite graphs and associated structures

Neural network optimization for good generalization performance

Learning Minor Closed Graph Classes with Membership and Equivalence Queries

Theory of symmetry network structure

Fast expected two dimensional pattern matching

Analysis of the Mean Field Annealing Algorithm for Graph Bisection

Proportion of primes generated by strong prime methods

Daugman’s gabor transform as a simple generative back propagation network

Fast string matching in a stationary ergodic source

Automorphism groups of primitive distance-bitransitive graphs are almost simple

Regularity and transitivity in graphs

Edge-colouring of Composite Regular Graphs

Physical Sciences: Search for a Trans-Plutonian Planet

An introduction to support vector machines. 2000

Big Data and AI Pipeline Framework: Technology Analysis from a Benchmarking Perspective

A semantic model for interchangeable microservices in cloud continuum computing

Multilevel Approach to Sensor Streams Analysis

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

Many faces of text processing

Extending the IST-World database with Serbian research publications

Archiving the Slovenian web: recent experiences

Describing decision support, data mining, and text/web mining studies in SolEuNet

Ic-bait: An inferential commonsense-driven model for predicting political polarity in news headlines

Rethinking semi-supervised learning with language models

Neural network for search retrieval and ranking

Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources

Semantic TrueLearn: using semantic knowledge graphs in recommendation systems

Report on the WSDM 2020 workshop on state-based user modelling (SUM’20)

SIGIR 2013 workshop on modeling user behavior for information retrieval evaluation

BEHAVIORAL ASPECT OF ACCOUNTING TEACHERS’INFORMATION TECHNOLOGY USAGE

Advances on the development of evaluation measures

From fear to action: AI governance and opportunities for all

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