Publications

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks

Li Sun,

John Shawe-Taylor,

Dina D’Ayala,

Nature Publishing Group UK

2022

Watch less and uncover more: Could navigation tools help users search and explore videos?

An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All

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

Théophile Cantelobre,

Benjamin Guedj,

María Pérez-Ortiz,

2020

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

The Alzheimer's Association, Inc.

2017

Sequence and primer independent stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding

Cold Spring Harbor Laboratory

2014

Deep-er Kernels.

John Shawe-Taylor,

Joint work as referenced plus Dimitrios,

Delmiro Athanasakis,

2014

Retrieval of experiments by efficient comparison of marginal likelihoods

Sohan Seth,

John Shawe-Taylor,

Samuel Kaski,

Springer International Publishing

2014

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

Multivariate bandits and their applications

John Shawe-Taylor,

Springer Berlin Heidelberg

2010

Revised loss bounds for the set covering machine and sample-compression loss bounds for imbalanced data

Zakria Hussain,

François Laviolette,

Mario Marchand,

Spencer Charles Brubaker,

JMLR. org

2007

Kernel Methods: A Paradigm for Pattern Analysis

Perceptron-like large margin classifiers

Petroula Tsampouka,

John Shawe-Taylor,

2005

Text categorization via ellipsoid separation

Efficient computation of gap-weighted string kernels on large alphabets

Juho Rousu,

John Shawe-Taylor,

2004

Semi-Definite Programming by Perceptron Learning

Kernel Methods for Document Filtering

Department of Commerce, National Institute of Standards and Technology

2002

Parallel graph colouring using FPGAs

Barry Rising,

Max van Daalen,

Peter Burge,

Springer Berlin Heidelberg

1997

Consciousness as a linear phenomenon

John Shawe-Taylor,

Metka Shawe-Taylor,

Thorverton: Imprint Academic

1995

Adapting the energy landscape for MFA

Peter Burge,

John Shawe-Taylor,

1995

A result of Vapnik with applications

Martin Anthony,

John Shawe-Taylor,

Amsterdam: North Holland.

1994

Information and its Relation to Formalisms for the Complexities of the Real World

John Shawe-Taylor,

SAGE Publications

1987

Cycle permutation graphs with large girth

John Shawe-Taylor,

T Pisanski,

1982

Search for minimal trivalent cycle permutation graphs with girth nine

Learning in Stochastic Bit Stream Neural Networks

John Shawe-Taylor,

M Van Daalen,

J Zhao,

MultiCOMET–Multilingual Commonsense Description

Adrian Mladenic Grobelnik,

Marko Grobelnik,

Dunja Mladenic,

2020

Inductive reasoning and machine learning for the semantic web

Cross-lingual knowledge extraction

Dunja Mladenic,

Marko Grobelnik,

2011

Cross-lingual search over 22 european languages

Applying collaborative filtering to real-life corporate data

Miha Grcar,

Dunja Mladenič,

Marko Grobelnik,

Springer Berlin Heidelberg

2006

KDD-2005 workshop report

KDD-2005 workshop report: Link Discovery: issues, approaches and application (LinkKDD-2005)

Network Approaches to Current Research Information Systems

Analysis of IT projects funded by the European Commission in 5FP

Marko Grobelnik,

D Mladenic,

2002

Fast text categorization

Marko Grobelnik,

Dunja Mladenic,

1998

Intelligent agents in information society

Matjaž Gams,

Marko Grobelnik,

1997

Watch less and uncover more: Could navigation tools help users search and explore videos?

Graph technologies for user modeling and recommendation: introduction to the special issue-part 1

Special issue on learning from user interactions

Rishabh Mehrotra,

Ahmed Hassan Awadallah,

Emine Yilmaz,

Springer Netherlands

2020

Analysing Social Media Forums to Discover Potential Causes of Phasic Shifts in Cryptocurrency Price Series

Unsupervised few-bits semantic hashing with implicit topics modeling

Fanghua Ye,

Jarana Manotumruksa,

Emine Yilmaz,

Association for Computational Linguistics (ACL)

2020

Comparison of paraoxonase, prolidase activities and Hs-CRP, BDNF levels in patients with autogenous and reactive subtypes of obsessive compulsive disorder.

CONSUMERS> ATTITUDES AND BEHAVIORS REGARDING DIETARY SUPPLEMENTS

Emine Yilmaz,

2019

A concept language model for ad-hoc retrieval

Kırsal kalkınmada kadının yeri

Tekirdağ Namık Kemal Üniversitesi

2016

Query log mining for inferring user tasks and needs

Rishabh Mehrotra,

Emine Yilmaz,

Springer International Publishing

2016

Ir evaluation: Modeling user behavior for measuring effectiveness

Effect of intent descriptions on retrieval evaluation

On judgments obtained from a commercial search engine

Consumers Food Scares and Trust: A Thrace Region Study

Relevance feedback exploiting query-specific document manifolds

Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory

Incorporating user behavior information in IR evaluation. In in Understanding the user-Logging and interpreting user interactions in information retrieval

Tüketicilerin Süt Ürünleri Tüketim Yapıları ve Probiyotik Ürün Tercihlerini Etkilen Faktörlerin Değerlendirilmesi: Tekirdağ İli Örneği

Yasemin Oraman,

E Yılmaz,

2006

On the sustainable ground improvement aspects of pyrite bearing clay using lime activated slag

Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems

Model validation using mutated training labels: An exploratory study

Stability-based PAC-Bayes analysis for multi-view learning algorithms

Upper and lower bounds on the performance of kernel PCA

Towards self-certified learning: Probabilistic neural networks trained by PAC-Bayes with backprop

Publications

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks

Watch less and uncover more: Could navigation tools help users search and explore videos?

An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All

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

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

Sequence and primer independent stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding

Deep-er Kernels.

Retrieval of experiments by efficient comparison of marginal likelihoods

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

Multivariate bandits and their applications

Revised loss bounds for the set covering machine and sample-compression loss bounds for imbalanced data

Kernel Methods: A Paradigm for Pattern Analysis

Perceptron-like large margin classifiers

Text categorization via ellipsoid separation

Efficient computation of gap-weighted string kernels on large alphabets

Semi-Definite Programming by Perceptron Learning

Kernel Methods for Document Filtering

Parallel graph colouring using FPGAs

Consciousness as a linear phenomenon

Adapting the energy landscape for MFA

A result of Vapnik with applications

Information and its Relation to Formalisms for the Complexities of the Real World

Cycle permutation graphs with large girth

Search for minimal trivalent cycle permutation graphs with girth nine

Learning in Stochastic Bit Stream Neural Networks

MultiCOMET–Multilingual Commonsense Description

Inductive reasoning and machine learning for the semantic web

Cross-lingual knowledge extraction

Cross-lingual search over 22 european languages

Applying collaborative filtering to real-life corporate data

KDD-2005 workshop report

KDD-2005 workshop report: Link Discovery: issues, approaches and application (LinkKDD-2005)

Network Approaches to Current Research Information Systems

Analysis of IT projects funded by the European Commission in 5FP

Fast text categorization

Intelligent agents in information society

Watch less and uncover more: Could navigation tools help users search and explore videos?

Graph technologies for user modeling and recommendation: introduction to the special issue-part 1

Special issue on learning from user interactions

Analysing Social Media Forums to Discover Potential Causes of Phasic Shifts in Cryptocurrency Price Series

Unsupervised few-bits semantic hashing with implicit topics modeling

Comparison of paraoxonase, prolidase activities and Hs-CRP, BDNF levels in patients with autogenous and reactive subtypes of obsessive compulsive disorder.

CONSUMERS> ATTITUDES AND BEHAVIORS REGARDING DIETARY SUPPLEMENTS

A concept language model for ad-hoc retrieval

Kırsal kalkınmada kadının yeri

Query log mining for inferring user tasks and needs

Ir evaluation: Modeling user behavior for measuring effectiveness

Effect of intent descriptions on retrieval evaluation

On judgments obtained from a commercial search engine

Consumers Food Scares and Trust: A Thrace Region Study

Relevance feedback exploiting query-specific document manifolds

Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory

Incorporating user behavior information in IR evaluation. In in Understanding the user-Logging and interpreting user interactions in information retrieval

Tüketicilerin Süt Ürünleri Tüketim Yapıları ve Probiyotik Ürün Tercihlerini Etkilen Faktörlerin Değerlendirilmesi: Tekirdağ İli Örneği

On the sustainable ground improvement aspects of pyrite bearing clay using lime activated slag

Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems

Model validation using mutated training labels: An exploratory study

Stability-based PAC-Bayes analysis for multi-view learning algorithms

Upper and lower bounds on the performance of kernel PCA

Towards self-certified learning: Probabilistic neural networks trained by PAC-Bayes with backprop

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