Publications

Sample sizes for threshold networks with equivalences

John Shawetaylor,

Academic Press

1995

Feature Selection for the Classification of Large Document Collections.

Analysis of a database of research projects using text mining and link analysis

Learning neural point processes with latent graphs

Perturbed model validation: A new framework to validate model relevance

Prediction with the SVM using test point margins

Süreyya Özöğür-Akyüz,

Matching pursuit kernel fisher discriminant analysis

Complexity of pattern classes and the Lipschitz property

Amiran Ambroladze,

Emilio Parrado-Hernández,

John Shawe-Taylor,

Elsevier

2007

User modeling combining access logs, page content and semantics

Identifying and routing of documents of potential interest to subscribers using interest determination rules

Michael John Witbrock,

Lawrence Seth Lefkowitz,

David Andrew Schneider,

Marko Grobelnik,

2010

Visualization of online discussion forums

Story link detection with entity resolution

Tadej Štajner,

Marko Grobelnik,

2009

Contextualizing ontologies with ontolight: A pragmatic approach

Using text mining and link analysis for software mining

Miha Grcar,

Marko Grobelnik,

Dunja Mladenic,

Springer Berlin Heidelberg

2008

On the road to knowledge: mining 21 years of UK traffic accident reports

Induction of Prolog programs with Markus

Marko Grobelnik,

Springer London

1994

An analysis of the change in discussions on social media with bitcoin price

Andrew Burnie,

Emine Yilmaz,

2019

Towards hierarchies of search tasks & subtasks

Rishabh Mehrotra,

Emine Yilmaz,

2015

Entity oriented task extraction from query logs

Manisha Verma,

Emine Yilmaz,

2014

A sampling technique for efficiently estimating measures of query retrieval performance using incomplete judgments

Automatic L3 slice detection in 3D CT images using fully-convolutional networks

Data-driven malaria prevalence prediction in large densely populated urban holoendemic sub-Saharan West Africa

Biobele J Brown,

Petru Manescu,

Alexander A Przybylski,

Gbeminiyi Oyinloye,

Nature Publishing Group UK

2020

Data dependent kernels in nearly-linear time

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

Approximate maximum margin algorithms with rules controlled by the number of mistakes

Petroula Tsampouka,

John Shawe-Taylor,

2007

Generic object recognition by combining distinct features in machine learning

Semantic text features from small world graphs

Jure Leskovec,

John Shawe-Taylor,

2005

PAC-Bayes & margins

John Shawe-Taylor,

John Langford,

2003

An Introduction to Support Vector Machines and other Kernelbased Methods

J Christanini,

JS Taylor,

Cambridge University Press, Cambridge

2000

Single-class support vector machines

B Schölkopf,

R Williamson,

AJ Smola,

Schloss Dagstuhl, Leibniz-Zentrum für Informatik

1999

Stochastic bit-stream neural networks

Predicting content from hyperlinks

Dunja Mladenic,

Marko Grobelnik,

1999

Uncovering task based behavioral heterogeneities in online search behavior

Rishabh Mehrotra,

Prasanta Bhattacharya,

Emine Yilmaz,

2016

Characterizing users’ multi-tasking behavior in web search

Rishabh Mehrotra,

Prasanta Bhattacharya,

Emine Yilmaz,

2016

Number crunching in the cancer stem cell market

Towards automatic, scalable quality assurance in open education

Improving active learning in systematic reviews

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

CPC: Crime, policing and citizenship-Intelligent policing and big data

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

Large-margin structured prediction via linear programming

Latent semantic kernels for feature selection

Novel techniques for profiling and fraud detection in mobile telecommunications

Confidence estimates of classification accuracy on new examples

John Shawe-Taylor,

Springer Berlin Heidelberg

1997

Using the perceptron algorithm to find consistent hypotheses

Martin Anthony,

John Shawe-Taylor,

Cambridge University Press

1993

Real time output derivatives for on chip learning using digital stochastic bit stream neurons

Probabilistic bit stream neural chip: Implementation

Towards a complete event type taxonomy

Cross-lingual detection of world events from news articles.

The Semantic Web: Research and Applications: 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, May 29–June 2, 2011. Proceedings, Part II

Grigoris Antoniou,

Marko Grobelnik,

Elena Simperl,

Dimitris Plexousakis,

Springer

2011

Visual analysis of documents with semantic graphs

Variational continual Bayesian meta-learning

Disentangling interpretable generative parameters of random and real-world graphs

Towards automatic, scalable quality assurance in open education

Measuring duplication in search results

Report on the SIGIR 2013 workshop on modeling user behavior for information retrieval evaluation (MUBE 2013)

Türkiye’de hayvansal gıda tüketimi ve sorunlar. 10

Novel microprocessor based negative phase sequence relay and meter

Predicting T cell receptor antigen specificity from structural features derived from homology models of receptor-peptide-major histocompatibility complexes

X5learn: A personalised learning companion at the intersection of ai and hci

Publications

Sample sizes for threshold networks with equivalences

Feature Selection for the Classification of Large Document Collections.

Analysis of a database of research projects using text mining and link analysis

Learning neural point processes with latent graphs

Perturbed model validation: A new framework to validate model relevance

Prediction with the SVM using test point margins

Matching pursuit kernel fisher discriminant analysis

Complexity of pattern classes and the Lipschitz property

User modeling combining access logs, page content and semantics

Identifying and routing of documents of potential interest to subscribers using interest determination rules

Visualization of online discussion forums

Story link detection with entity resolution

Contextualizing ontologies with ontolight: A pragmatic approach

Using text mining and link analysis for software mining

On the road to knowledge: mining 21 years of UK traffic accident reports

Induction of Prolog programs with Markus

An analysis of the change in discussions on social media with bitcoin price

Towards hierarchies of search tasks & subtasks

Entity oriented task extraction from query logs

A sampling technique for efficiently estimating measures of query retrieval performance using incomplete judgments

Automatic L3 slice detection in 3D CT images using fully-convolutional networks

Data-driven malaria prevalence prediction in large densely populated urban holoendemic sub-Saharan West Africa

Data dependent kernels in nearly-linear time

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

Approximate maximum margin algorithms with rules controlled by the number of mistakes

Generic object recognition by combining distinct features in machine learning

Semantic text features from small world graphs

PAC-Bayes & margins

An Introduction to Support Vector Machines and other Kernelbased Methods

Single-class support vector machines

Stochastic bit-stream neural networks

Predicting content from hyperlinks

Uncovering task based behavioral heterogeneities in online search behavior

Characterizing users’ multi-tasking behavior in web search

Number crunching in the cancer stem cell market

Towards automatic, scalable quality assurance in open education

Improving active learning in systematic reviews

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

CPC: Crime, policing and citizenship-Intelligent policing and big data

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

Large-margin structured prediction via linear programming

Latent semantic kernels for feature selection

Novel techniques for profiling and fraud detection in mobile telecommunications

Confidence estimates of classification accuracy on new examples

Using the perceptron algorithm to find consistent hypotheses

Real time output derivatives for on chip learning using digital stochastic bit stream neurons

Probabilistic bit stream neural chip: Implementation

Towards a complete event type taxonomy

Cross-lingual detection of world events from news articles.

The Semantic Web: Research and Applications: 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, May 29–June 2, 2011. Proceedings, Part II

Visual analysis of documents with semantic graphs

Variational continual Bayesian meta-learning

Disentangling interpretable generative parameters of random and real-world graphs

Towards automatic, scalable quality assurance in open education

Measuring duplication in search results

Report on the SIGIR 2013 workshop on modeling user behavior for information retrieval evaluation (MUBE 2013)

Türkiye’de hayvansal gıda tüketimi ve sorunlar. 10

Novel microprocessor based negative phase sequence relay and meter

Predicting T cell receptor antigen specificity from structural features derived from homology models of receptor-peptide-major histocompatibility complexes

X5learn: A personalised learning companion at the intersection of ai and hci

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