Publications

Improved loss bounds for multiple kernel learning

Zakria Hussain,

John Shawe–Taylor,

JMLR Workshop and Conference Proceedings

2011

Using string kernels to identify famous performers from their playing style

Kernel regression based machine translation

SemSearch’11: the 4th semantic search workshop

Semantic technology for capturing communication inside an organization

Overview of the TREC 2015 Tasks Track.

Representative & informative query selection for learning to rank using submodular functions

Rishabh Mehrotra,

Emine Yilmaz,

2015

An analysis of systematic judging errors in information retrieval

Detecting duplicate web documents using clickthrough data

Cell therapy for liver disease.

A service oriented framework for natural language text enrichment

Background knowledge for ontology construction

User behaviour and task characteristics: A field study of daily information behaviour

Jiyin He,

Emine Yilmaz,

2017

Trakya bölgesinde kırsal ve kentsel tüketicilerin gıda ürünleri tüketim alışkanlıkları ve gıda güvenliğine ilişkin bilgi düzeylerinin belirlenmesi

Emine Yılmaz,

Namık Kemal Üniversitesi

2008

Expert‐level automated malaria diagnosis on routine blood films with deep neural networks

John Wiley & Sons, Inc.

2020

Compressed conditional mean embeddings for model-based reinforcement learning

Synthesis of maximum margin and multiview learning using unlabeled data

A unifying framework for invariant pattern recognition

Learning in stochastic bit stream neural networks

Anchoring and adjustment in relevance estimation

Measure-based metasearch

A comparison of relaxations of multiset cannonical correlation analysis and applications

Data-dependent structural risk minimization for perceptron decision trees

John Shawe-Taylor,

Nello Cristianini,

1997

Classes of feedforward neural networks and their circuit complexity

Meaningful big data integration for a global COVID-19 strategy

The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour

KCCA for fMRI analysis

The decision list machine

Inferring document relevance via average precision

Javed A Aslam,

Emine Yilmaz,

2006

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)

Forecasting foreign exchange rates using kernel methods

Comparison and fusion of multiresolution features for texture classification

The strategic impact of META-NET on the regional, national and international level

Georg Rehm,

Hans Uszkoreit,

Sophia Ananiadou,

Audronė Bielevičienė,

Springer Netherlands

2016

Accessing information about linked data vocabularies with vocab. cc

Using task context to achieve effective information delivery

Jose Manuel Gomez-Perez,

Mapping documents onto web page ontology

Dunja Mladenić,

Marko Grobelnik,

Springer Berlin Heidelberg

2003

Dynamic schema graph fusion network for multi-domain dialogue state tracking

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)

An uncertainty-aware query selection model for evaluation of IR systems

Mehdi Hosseini,

Ingemar J Cox,

Natasa Milic-Frayling,

Emine Yilmaz,

2012

Türkiye’de kadın akademisyen ve araştırmacıların karşılaştıkları sorunlar ve tarıma bakış açıları

Emine YILMAZ,

G Özdemir,

Tekirdag Namik Kemal University

2012

Kernel methods and support vector machines

Gaussian process modelling of dependencies in multi-armed bandit problems

The impact of information technology practices and organizational learning on firm innovation and performance

Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture

Smooth operators

Pac-bayes analysis of maximum entropy classification

Theory of matching pursuit

Zakria Hussain,

John Shawe-Taylor,

2008

Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers

Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers

Significant improvements over the state of the art? a case study of the ms marco document ranking leaderboard

Planlı Davranış Teorisi (PDT) İle Muhasebecilerin Bilgi Teknolojisi Kullanımına Yönelik Bir Uygulama (An Application to the Accountants Information Technology Usage with the …

Gökhan Özer,

Emine Yilmaz,

2010

Machine learning in fine wine price prediction

Michelle Yeo,

Tristan Fletcher,

John Shawe-Taylor,

Cambridge University Press

2015

PAC-Bayes-Bernstein inequality for martingales and its application to multiarmed bandits

JMLR Workshop and Conference Proceedings

2012

Kernel learning for novelty detection

John Shawe-Taylor,

Z Hussain,

2008

A framework for probability density estimation

A new incremental learning technique

Valid generalisation from approximate interpolation

Martin Anthony,

Peter Bartlett,

Yuval Ishai,

Cambridge University Press

1996

Text classification with active learning

Blaž Novak,

Dunja Mladenič,

Marko Grobelnik,

Springer Berlin Heidelberg

2006

Approaching Analysis of EU IST projects database

Marko Grobelnik,

Dunja Mladenic,

2002

Search result diversification in short text streams

Publications

Improved loss bounds for multiple kernel learning

Using string kernels to identify famous performers from their playing style

Kernel regression based machine translation

SemSearch’11: the 4th semantic search workshop

Semantic technology for capturing communication inside an organization

Overview of the TREC 2015 Tasks Track.

Representative & informative query selection for learning to rank using submodular functions

An analysis of systematic judging errors in information retrieval

Detecting duplicate web documents using clickthrough data

Cell therapy for liver disease.

A service oriented framework for natural language text enrichment

Background knowledge for ontology construction

User behaviour and task characteristics: A field study of daily information behaviour

Trakya bölgesinde kırsal ve kentsel tüketicilerin gıda ürünleri tüketim alışkanlıkları ve gıda güvenliğine ilişkin bilgi düzeylerinin belirlenmesi

Expert‐level automated malaria diagnosis on routine blood films with deep neural networks

Compressed conditional mean embeddings for model-based reinforcement learning

Synthesis of maximum margin and multiview learning using unlabeled data

A unifying framework for invariant pattern recognition

Learning in stochastic bit stream neural networks

Anchoring and adjustment in relevance estimation

Measure-based metasearch

A comparison of relaxations of multiset cannonical correlation analysis and applications

Data-dependent structural risk minimization for perceptron decision trees

Classes of feedforward neural networks and their circuit complexity

Meaningful big data integration for a global COVID-19 strategy

The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour

KCCA for fMRI analysis

The decision list machine

Inferring document relevance via average precision

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)

Forecasting foreign exchange rates using kernel methods

Comparison and fusion of multiresolution features for texture classification

The strategic impact of META-NET on the regional, national and international level

Accessing information about linked data vocabularies with vocab. cc

Using task context to achieve effective information delivery

Mapping documents onto web page ontology

Dynamic schema graph fusion network for multi-domain dialogue state tracking

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)

An uncertainty-aware query selection model for evaluation of IR systems

Türkiye’de kadın akademisyen ve araştırmacıların karşılaştıkları sorunlar ve tarıma bakış açıları

Kernel methods and support vector machines

Gaussian process modelling of dependencies in multi-armed bandit problems

The impact of information technology practices and organizational learning on firm innovation and performance

Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture

Smooth operators

Pac-bayes analysis of maximum entropy classification

Theory of matching pursuit

Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers

Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers

Significant improvements over the state of the art? a case study of the ms marco document ranking leaderboard

Planlı Davranış Teorisi (PDT) İle Muhasebecilerin Bilgi Teknolojisi Kullanımına Yönelik Bir Uygulama (An Application to the Accountants Information Technology Usage with the …

Machine learning in fine wine price prediction

PAC-Bayes-Bernstein inequality for martingales and its application to multiarmed bandits

Kernel learning for novelty detection

A framework for probability density estimation

A new incremental learning technique

Valid generalisation from approximate interpolation

Text classification with active learning

Approaching Analysis of EU IST projects database

Search result diversification in short text streams

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