Publications

Türk kahvesi tüketim eğilimleri ve tüketici özelliklerinin belirlenmesi

E Yılmaz,

Yasemin Oraman,

Gülen Özdemir,

İ Yılmaz,

2016

Content-based image retrieval with multinomial relevance feedback

Dorota Glowacka,

John Shawe-Taylor,

JMLR Workshop and Conference Proceedings

2010

On the reliability of test collections for evaluating systems of different types

Overview of the TREC Tasks Track 2016.

User intent and assessor disagreement in web search evaluation

Metabolic activity of primary uveal melanoma on PET/CT scan and its relationship with monosomy 3 and other prognostic factors

Vasilios P Papastefanou,

Shahriar Islam,

Teresa Szyszko,

Mandeep S Sagoo,

BMJ Publishing Group Ltd

2014

Adaptive mechanism design: Learning to promote cooperation

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

Margin based transductive graph cuts using linear programming

Support vector machine to synthesise kernels

Hongying Meng,

John Shawe-Taylor,

Sandor Szedmak,

Springer Berlin Heidelberg

2005

Multiclass classification by l1 norm support vector machine

Analysis of the mean field annealing algorithm for graph colouring

John Shawe-Taylor,

1993

Mashups for the web of things

Springer Berlin Heidelberg

2013

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II

Marko Grobelnik,

Dunja Mladenić,

John Shawe-Taylor,

Springer Berlin Heidelberg

2009

Enrycher: service oriented text enrichment

Trans-encoder: unsupervised sentence-pair modelling through self-and mutual-distillations

From a user model for query sessions to session rank biased precision (sRBP)

Task embeddings: Learning query embeddings using task context

Rishabh Mehrotra,

Emine Yilmaz,

2017

Collaborative user clustering for short text streams

Canonical correlation analysis and partial least squares for identifying brain-behaviour associations: a tutorial and a comparative study

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

Michele Donini,

Joao M Monteiro,

Massimiliano Pontil,

Andreas J Fallgatter,

Academic Press

2019

Gene function prediction from functional association networks using kernel partial least squares regression

Public Library of Science

2015

Kernel methods for pattern recognition

N Cristianini,

John Shawe-Taylor,

Cambridge University Press

2004

Sample based generalization bounds

Sample sizes for sigmoidal neural networks

John Shawe-Taylor,

1995

1-factorisation of the Composition of Regular Graphs

Using News Articles for Real-time Cross-Lingual Event Detection and Filtering.

Text-mining tutorial

Marko Grobelnik,

Dunja Mladenic,

2004

Learning Machine: design and implementation

Marko Grobelnik,

Dunja Mladenic,

1998

Sequential-based adversarial optimisation for personalised top-n item recommendation

Jarana Manotumruksa,

Emine Yilmaz,

2020

Social media and bitcoin metrics: which words matter

Interactional regions in cities: making sense of flows across networked systems

Novelty detection with one-class support vector machines

John Shawe-Taylor,

Blaž Žličar,

Springer International Publishing

2015

On maximum margin hierarchical multi-label classification

Ants and graph coloring

Phenomenology and cognitive science

E Baumgartner,

1996

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II

Classroom games: Strategic interaction on the internet

Marko Grobelnik,

Charles A Holt,

Vesna Prasnikar,

American Economic Association

1999

Using machine learning techniques to interpret results from discrete event simulation

Dunja Mladenić,

Ivan Bratko,

Ray J Paul,

Springer Berlin Heidelberg

1994

Deconstructing complex search tasks: a bayesian nonparametric approach for extracting sub-tasks

Rishabh Mehrotra,

Prasanta Bhattacharya,

Emine Yilmaz,

2016

Crowdsourcing for search and data mining

Learning PAC-Bayes priors for probabilistic neural networks

Directional migration of recirculating lymphocytes through lymph nodes via random walks

Niclas Thomas,

Lenka Matejovicova,

Wichat Srikusalanukul,

Benny Chain,

Public Library of Science

2012

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

Machine learning and knowledge discovery in databases

Learning via linear operators: Maximum margin regression; multiclass and multiview learning at one-class complexity

Sandor Szedmak,

John Shawe-Taylor,

Emilio Parado-Hernandez,

2006

Texture classification by combining wavelet and contourlet features

Shutao Li,

John Shawe-Taylor,

Springer Berlin Heidelberg

2004

Frameworks for fraud detection in mobile telecommunications networks

Peter Burge,

John Shawe-Taylor,

1996

Molecular graph eigenvectors for molecular coordinates: System Demonstration

Patrick W Fowler,

Tomaž Pisanski,

John Shawe-Taylor,

Springer Berlin Heidelberg

1994

Semantic annotation of documents based on wikipedia concepts

Document Classification.

Knowledge discovery standards

Sarabjot Singh Anand,

Marko Grobelnik,

Frank Herrmann,

Christoph Lingenfelder,

Springer Netherlands

2007

Chapter 5 evaluating web retrieval effectiveness

Ben Carterette,

Evangelos Kanoulas,

Emine Yilmaz,

Emerald Group Publishing Limited

2012

Mantıklı Eylem Teorisi (MET) ile muhasebecilerin bilgi teknolojisi kullanımına yönelik bir uygulama

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

Michele Donini,

Joao M Monteiro,

Massimiliano Pontil,

Janaina Mourao-Miranda,

IEEE

2016

GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison

Responsive listening behavior

Marco Gillies,

Xueni Pan,

Mel Slater,

John Wiley & Sons, Ltd.

2008

Efficient algorithms for max-margin structured classification

Reducing kernel matrix diagonal dominance using semi-definite programming

Jaz Kandola,

Thore Graepel,

John Shawe-Taylor,

Springer Berlin Heidelberg

2003

Sparsity vs. Large Margins for Linear Classifiers.

Publications

Türk kahvesi tüketim eğilimleri ve tüketici özelliklerinin belirlenmesi

Content-based image retrieval with multinomial relevance feedback

On the reliability of test collections for evaluating systems of different types

Overview of the TREC Tasks Track 2016.

User intent and assessor disagreement in web search evaluation

Metabolic activity of primary uveal melanoma on PET/CT scan and its relationship with monosomy 3 and other prognostic factors

Adaptive mechanism design: Learning to promote cooperation

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

Margin based transductive graph cuts using linear programming

Support vector machine to synthesise kernels

Multiclass classification by l1 norm support vector machine

Analysis of the mean field annealing algorithm for graph colouring

Mashups for the web of things

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II

Enrycher: service oriented text enrichment

Trans-encoder: unsupervised sentence-pair modelling through self-and mutual-distillations

From a user model for query sessions to session rank biased precision (sRBP)

Task embeddings: Learning query embeddings using task context

Collaborative user clustering for short text streams

Canonical correlation analysis and partial least squares for identifying brain-behaviour associations: a tutorial and a comparative study

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

Gene function prediction from functional association networks using kernel partial least squares regression

Kernel methods for pattern recognition

Sample based generalization bounds

Sample sizes for sigmoidal neural networks

1-factorisation of the Composition of Regular Graphs

Using News Articles for Real-time Cross-Lingual Event Detection and Filtering.

Text-mining tutorial

Learning Machine: design and implementation

Sequential-based adversarial optimisation for personalised top-n item recommendation

Social media and bitcoin metrics: which words matter

Interactional regions in cities: making sense of flows across networked systems

Novelty detection with one-class support vector machines

On maximum margin hierarchical multi-label classification

Ants and graph coloring

Phenomenology and cognitive science

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II

Classroom games: Strategic interaction on the internet

Using machine learning techniques to interpret results from discrete event simulation

Deconstructing complex search tasks: a bayesian nonparametric approach for extracting sub-tasks

Crowdsourcing for search and data mining

Learning PAC-Bayes priors for probabilistic neural networks

Directional migration of recirculating lymphocytes through lymph nodes via random walks

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

Machine learning and knowledge discovery in databases

Learning via linear operators: Maximum margin regression; multiclass and multiview learning at one-class complexity

Texture classification by combining wavelet and contourlet features

Frameworks for fraud detection in mobile telecommunications networks

Molecular graph eigenvectors for molecular coordinates: System Demonstration

Semantic annotation of documents based on wikipedia concepts

Document Classification.

Knowledge discovery standards

Chapter 5 evaluating web retrieval effectiveness

Mantıklı Eylem Teorisi (MET) ile muhasebecilerin bilgi teknolojisi kullanımına yönelik bir uygulama

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

GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison

Responsive listening behavior

Efficient algorithms for max-margin structured classification

Reducing kernel matrix diagonal dominance using semi-definite programming

Sparsity vs. Large Margins for Linear Classifiers.

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