Publications

Event registry: learning about world events from news

Gregor Leban,

Blaz Fortuna,

Janez Brank,

167

2014

Semi-automatic construction of topic ontologies

Blaž Fortuna,

Dunja Mladenič,

Marko Grobelnik,

Springer Berlin Heidelberg

167

2005

Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing

Institute of Mathematical Statistics

166

2009

Improving” bag-of-keypoints” image categorisation: Generative models and pdf-kernels

Ontogen: Semi-automatic ontology editor

Blaz Fortuna,

Marko Grobelnik,

Dunja Mladenic,

Springer Berlin Heidelberg

166

2007

Feature selection for classification based on text hierarchy

D Maldenic,

166

1998

Self-attentive Hawkes process

Inferring and using location metadata to personalize web search

Optimizing classifers for imbalanced training sets

Unsupervised analysis of fMRI data using kernel canonical correlation

David R Hardoon,

Janaina Mourao-Miranda,

Interaction of feature selection methods and linear classification models

Janez Brank,

Marko Grobelnik,

Natasa Milic-Frayling,

140

2002

Tighter pac-bayes bounds

Amiran Ambroladze,

Emilio Parrado-Hernández,

John Shawe-Taylor,

139

2006

Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning

Public Library of Science

137

2012

Spectral kernel methods for clustering

Enlarging the margins in perceptron decision trees

Kristin P Bennett,

Nello Cristianini,

John Shawe-Taylor,

Kluwer Academic Publishers

136

2000

Learning sub-structures of document semantic graphs for document summarization

Jure Leskovec,

Marko Grobelnik,

Natasa Milic-Frayling,

133

2004

A result of Vapnik with applications

PAC-Bayes bounds with data dependent priors

Emilio Parrado-Hernández,

Learning hierarchical multi-category text classification models

Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine

Oxford University Press

122

2013

Stem cells in cancer: instigators and propagators?

Malcolm R Alison,

Shahriar Islam,

Nicholas A Wright,

Company of Biologists

122

2010

SV estimation of a distribution’s support

A tutorial on canonical correlation methods

Viivi Uurtio,

João M Monteiro,

Jaz Kandola,

Delmiro Fernandez-Reyes,

ACM

118

2017

Support Vector Machines and other kernel-based learning methods

PAC-Bayesian inequalities for martingales

Extending average precision to graded relevance judgments

Comparison and fusion of multiresolution features for texture classification

Tighter PAC-Bayes bounds through distribution-dependent priors

Multiview fisher discriminant analysis

Learning coordinate covariances via gradients.

On the generalization of soft margin algorithms

Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence

Oxford University Press

110

2014

Regret bounds for Gaussian process bandit problems

Steffen Grünewälder,

Jean–Yves Audibert,

Manfred Opper,

JMLR Workshop and Conference Proceedings

110

2010

Variational inference for diffusion processes

A capillary computing architecture for dynamic internet of things: Orchestration of microservices from edge devices to fog and cloud providers

Sparse semi-supervised learning using conjugate functions

A stochastic neural architecture that exploits dynamically reconfigurable FPGAs

Feature selection using linear support vector machines

Janez Brank,

Marko Grobelnik,

Natasa Milic-Frayling,

106

2002

Optimizing kernel alignment over combinations of kernel

An unsupervised neural network approach to profiling the behavior of mobile phone users for use in fraud detection

Semi-automatic data-driven ontology construction system

Expected browsing utility for web search evaluation

A framework for structural risk minimisation

Auditing search engines for differential satisfaction across demographics

Dynamic clustering of streaming short documents

An introduction to support vector machines

Nello Cristiamini,

John Shawe-Taylor,

2000

Detecting cellular fraud using adaptive prototypes

Peter Burge,

John Shawe-Taylor,

1997

Proceedings of the 24th International Conference on Neural Information Processing Systems

Curran Associates Inc.

2011

Cubic distance-regular graphs

NL Biggs,

AG Boshier,

John Shawe-Taylor,

Oxford University Press

1986

サポートベクターマシン入門

Monitoring network evolution using MDL

Feature selection using support vector machines

Janez Brank,

Marko Grobelnik,

Natasa Milic-Frayling,

WIT Press

2002

Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding

Nature Publishing Group UK

2015

Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus)

Steffen Grünewälder,

Femke Broekhuis,

David Whyte Macdonald,

John Weldon McNutt,

Public Library of Science

2012

Gold standard based ontology evaluation using instance assignment

Relevance and effort: An analysis of document utility

An investigation of feature models for music genre classification using the support vector classifier

JS Shawe-Taylor,

Anders Meng,

Queen Mary University of London

2005

Further results on the margin distribution

John Shawe-Taylor,

Nello Cristianini,

1999

On specifying Boolean functions by labelled examples

Improving the confidence of machine translation quality estimates

Publications

Event registry: learning about world events from news

Semi-automatic construction of topic ontologies

Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing

Improving” bag-of-keypoints” image categorisation: Generative models and pdf-kernels

Ontogen: Semi-automatic ontology editor

Feature selection for classification based on text hierarchy

Self-attentive Hawkes process

Inferring and using location metadata to personalize web search

Optimizing classifers for imbalanced training sets

Unsupervised analysis of fMRI data using kernel canonical correlation

Interaction of feature selection methods and linear classification models

Tighter pac-bayes bounds

Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning

Spectral kernel methods for clustering

Enlarging the margins in perceptron decision trees

Learning sub-structures of document semantic graphs for document summarization

A result of Vapnik with applications

PAC-Bayes bounds with data dependent priors

Learning hierarchical multi-category text classification models

Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine

Stem cells in cancer: instigators and propagators?

SV estimation of a distribution’s support

A tutorial on canonical correlation methods

Support Vector Machines and other kernel-based learning methods

PAC-Bayesian inequalities for martingales

Extending average precision to graded relevance judgments

Comparison and fusion of multiresolution features for texture classification

Tighter PAC-Bayes bounds through distribution-dependent priors

Multiview fisher discriminant analysis

Learning coordinate covariances via gradients.

On the generalization of soft margin algorithms

Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence

Regret bounds for Gaussian process bandit problems

Variational inference for diffusion processes

A capillary computing architecture for dynamic internet of things: Orchestration of microservices from edge devices to fog and cloud providers

Sparse semi-supervised learning using conjugate functions

A stochastic neural architecture that exploits dynamically reconfigurable FPGAs

Feature selection using linear support vector machines

Optimizing kernel alignment over combinations of kernel

An unsupervised neural network approach to profiling the behavior of mobile phone users for use in fraud detection

Semi-automatic data-driven ontology construction system

Expected browsing utility for web search evaluation

A framework for structural risk minimisation

Auditing search engines for differential satisfaction across demographics

Dynamic clustering of streaming short documents

An introduction to support vector machines

Detecting cellular fraud using adaptive prototypes

Proceedings of the 24th International Conference on Neural Information Processing Systems

Cubic distance-regular graphs

サポートベクターマシン入門

Monitoring network evolution using MDL

Feature selection using support vector machines

Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding

Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus)

Gold standard based ontology evaluation using instance assignment

Relevance and effort: An analysis of document utility

An investigation of feature models for music genre classification using the support vector classifier

Further results on the margin distribution

On specifying Boolean functions by labelled examples

Improving the confidence of machine translation quality estimates

OptimalAI