Publications

Streamstory: exploring multivariate time series on multiple scales

Luka Stopar,

Primoz Skraba,

Marko Grobelnik,

IEEE

2018

Exploiting text mining in publishing and education

Crowdsourcing for information retrieval: introduction to the special issue

A geometric interpretation and analysis of r-precision

Javed A Aslam,

Emine Yilmaz,

2005

Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)

Springer Berlin Heidelberg

2022

Learning shared representations in multi-task reinforcement learning

Kernel-dependent support vector error bounds

Learning semantic graph mapping for document summarization

Jure Leskovec,

Marko Grobelnik,

Natasa Milic-Frayling,

2004

How am I doing?: Evaluating conversational search systems offline

Design and generalization analysis of orthogonal matching pursuit algorithms

Support vector and kernel methods

Nello Cristianini,

John Shawe-Taylor,

Springer Berlin Heidelberg

2007

Generalization performance of classifiers in terms of observed covering numbers

John Shawe-Taylor,

Robert C Williamson,

Springer Berlin Heidelberg

1999

Classification accuracy based on observed margin

John Shawe-Taylor,

Springer-Verlag

1998

Linear programming algorithm for neural networks

Generating strong primes

John Shawe-Taylor,

1986

System for semi-automatic ontology construction

Extracting hierarchies of search tasks & subtasks via a bayesian nonparametric approach

Rishabh Mehrotra,

Emine Yilmaz,

2017

Inferring dynamic user interests in streams of short texts for user clustering

Efficient visualization of large text corpora

Marko Grobelnik,

Dunja Mladenić,

2002

Microsoft Research at TREC 2009: Web and relevance feedback tracks

PAC-Bayes unleashed: Generalisation bounds with unbounded losses

The minimum volume covering ellipsoid estimation in kernel-defined feature spaces

Alexander N Dolia,

Tijl De Bie,

Chris J Harris,

D Michael Titterington,

Springer Berlin Heidelberg

2006

Curious Cat–Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition

From Stances’ Imbalance to Their HierarchicalRepresentation and Detection

Kernel methods for pattern analysis. 2004

John Shawe-Taylor,

Nello Cristianini,

2022

Predicting engagement in video lectures

Discovering brain regions relevant to obsessive–compulsive disorder identification through bagging and transduction

Emilio Parrado-Hernández,

Vanessa Gómez-Verdejo,

Manel Martínez-Ramón,

Pino Alonso,

Elsevier

2014

Pinview: Implicit feedback in content-based image retrieval

Learning with the set covering machine

Mario Marchand,

John Shawe-Taylor,

2001

Emergent activation functions from a stochastic bit stream neuron

Document visualization based on semantic graphs

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval

Alexandra Olteanu,

Jean Garcia-Gathright,

Predicting engagement in video lectures

On obtaining effort based judgements for information retrieval

Using Aggregate Location Metadata to Provide a Personalized Service

On the choice of effectiveness measures for learning to rank

Deep versus shallow judgments in learning to rank

Emine Yilmaz,

Stephen Robertson,

2009

Multiple holdouts with stability: improving the generalizability of machine learning analyses of brain–behavior relationships

Multiple kernel learning with fisher kernels for high frequency currency prediction

Multiplicative updatings for support vector learning

Evaluation metrics for measuring bias in search engine results

Deep sequential models for task satisfaction prediction

Rishabh Mehrotra,

Ahmed Hassan Awadallah,

Milad Shokouhi,

Imed Zitouni,

2017

Stem cells and lung cancer: future therapeutic targets?

Compressed sampling for pulse Doppler radar

Decomposing the tensor kernel support vector machine for neuroscience data with structured labels

A PAC-Bayes bound for tailored density estimation

Matthew Higgs,

John Shawe-Taylor,

Springer Berlin Heidelberg

2010

Kernel ellipsoidal trimming

Alexander N Dolia,

Christopher J Harris,

JS Shawe-Taylor,

North-Holland

2007

Multiclass learning at one-class complexity

Sandor Szedmak,

John Shawe-Taylor,

Electronics and Computer Science

2005

An approximate string-matching algorithm

Method of making memory re-shaped plastic tubes, especially fluorocarbon cylinder jackets

John Shawe-Taylor,

William L Graves,

1965

Incorporating query term independence assumption for efficient retrieval and ranking using deep neural networks

Collaboratively tracking interests for user clustering in streams of short texts

The use of machine translation tools for cross-lingual text mining

Blaz Fortuna,

John Shawe-Taylor,

2005

Terms, topics & tasks: Enhanced user modelling for better personalization

Rishabh Mehrotra,

Emine Yilmaz,

2015

Women entrepreneurs: Their problems and entrepreneurial ideas

Transglutaminase 2 expression predicts progression free survival in non-small cell lung cancer patients treated with epidermal growth factor receptor tyrosine kinase inhibitor

The Korean Academy of Medical Sciences

2013

Biomarker discovery by sparse canonical correlation analysis of complex clinical phenotypes of tuberculosis and malaria

Juho Rousu,

Daniel D Agranoff,

Olugbemiro Sodeinde,

Delmiro Fernandez-Reyes,

Public Library of Science

2013

TREC deep learning track: Reusable test collections in the large data regime

Estimation of fair ranking metrics with incomplete judgments

Incorporating variability in user behavior into systems based evaluation

Publications

Streamstory: exploring multivariate time series on multiple scales

Exploiting text mining in publishing and education

Crowdsourcing for information retrieval: introduction to the special issue

A geometric interpretation and analysis of r-precision

Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)

Learning shared representations in multi-task reinforcement learning

Kernel-dependent support vector error bounds

Learning semantic graph mapping for document summarization

How am I doing?: Evaluating conversational search systems offline

Design and generalization analysis of orthogonal matching pursuit algorithms

Support vector and kernel methods

Generalization performance of classifiers in terms of observed covering numbers

Classification accuracy based on observed margin

Linear programming algorithm for neural networks

Generating strong primes

System for semi-automatic ontology construction

Extracting hierarchies of search tasks & subtasks via a bayesian nonparametric approach

Inferring dynamic user interests in streams of short texts for user clustering

Efficient visualization of large text corpora

Microsoft Research at TREC 2009: Web and relevance feedback tracks

PAC-Bayes unleashed: Generalisation bounds with unbounded losses

The minimum volume covering ellipsoid estimation in kernel-defined feature spaces

Curious Cat–Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition

From Stances’ Imbalance to Their HierarchicalRepresentation and Detection

Kernel methods for pattern analysis. 2004

Predicting engagement in video lectures

Discovering brain regions relevant to obsessive–compulsive disorder identification through bagging and transduction

Pinview: Implicit feedback in content-based image retrieval

Learning with the set covering machine

Emergent activation functions from a stochastic bit stream neuron

Document visualization based on semantic graphs

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval

Predicting engagement in video lectures

On obtaining effort based judgements for information retrieval

Using Aggregate Location Metadata to Provide a Personalized Service

On the choice of effectiveness measures for learning to rank

Deep versus shallow judgments in learning to rank

Multiple holdouts with stability: improving the generalizability of machine learning analyses of brain–behavior relationships

Multiple kernel learning with fisher kernels for high frequency currency prediction

Multiplicative updatings for support vector learning

Evaluation metrics for measuring bias in search engine results

Deep sequential models for task satisfaction prediction

Stem cells and lung cancer: future therapeutic targets?

Compressed sampling for pulse Doppler radar

Decomposing the tensor kernel support vector machine for neuroscience data with structured labels

A PAC-Bayes bound for tailored density estimation

Kernel ellipsoidal trimming

Multiclass learning at one-class complexity

An approximate string-matching algorithm

Method of making memory re-shaped plastic tubes, especially fluorocarbon cylinder jackets

Incorporating query term independence assumption for efficient retrieval and ranking using deep neural networks

Collaboratively tracking interests for user clustering in streams of short texts

The use of machine translation tools for cross-lingual text mining

Terms, topics & tasks: Enhanced user modelling for better personalization

Women entrepreneurs: Their problems and entrepreneurial ideas

Transglutaminase 2 expression predicts progression free survival in non-small cell lung cancer patients treated with epidermal growth factor receptor tyrosine kinase inhibitor

Biomarker discovery by sparse canonical correlation analysis of complex clinical phenotypes of tuberculosis and malaria

TREC deep learning track: Reusable test collections in the large data regime

Estimation of fair ranking metrics with incomplete judgments

Incorporating variability in user behavior into systems based evaluation

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