Publications

Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy

Luca Oneto,

Michele Donini,

Massimiliano Pontil,

Elsevier

2020

PAC-Bayesian analysis of martingales and multiarmed bandits

Bioinformatics and biomedicine (BIBM)

Neural correlates of tonality in music

The set covering machine with data-dependent half-spaces

Neural network learning: Theoretical foundations

John Shawe-Taylor,

2001

Boosting the margin distribution

Huma Lodhi,

Grigoris Karakoulas,

John Shawe-Taylor,

Springer Berlin Heidelberg

2000

Bayesian voting schemes and large margin classifiers

Nello Cristianini,

John Shawe-Taylor,

MIT Press Cambridge, MA

1999

Adapting temperature for some randomized local search algorithms

John Shawe-Taylor,

Janez Žerovnik,

University of Ljubljana, Institut of Mathematics, Physics and Mechanics, Department of Mathematics

1998

Towards a knowledge graph based platform for public procurement

Springer International Publishing

2019

Curious cat conversational crowd based and context aware knowledge acquisition chat bot

Probabilistic temporal process model for knowledge processes: handling a stream of linked text

HistoryViz–visualizing events and relations extracted from wikipedia

Springer Berlin Heidelberg

2009

Using machine learning to structure the expertise of companies: Analysis of the yahoo! business data

Text and Web mining

Web site access analysis for a national statistical agency

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

Characterizing relevance on mobile and desktop

Manisha Verma,

Emine Yilmaz,

Springer International Publishing

2016

Modelling score distributions without actual scores

Low cost evaluation in information retrieval

Pemetrexed combined with paclitaxel: a dose-finding study evaluating three schedules in solid tumors

Evolution of a complex predator-prey ecosystem on large-scale multi-agent deep reinforcement learning

PAC-Bayesian analysis of the exploration-exploitation trade-off

Analysis of generic perceptron-like large margin classifiers

Petroula Tsampouka,

John Shawe-Taylor,

Springer Berlin Heidelberg

2005

Complexity of pattern classes and Lipschitz property

Amiran Ambroladze,

John Shawe-Taylor,

Springer Berlin Heidelberg

2004

Boosting strategy for classification

Homeomorphism of 2-complexes is graph isomorphism complete

John Shawe-Taylor,

Tomaž Pisanski,

Society for Industrial and Applied Mathematics

1994

Fast multiple keyword searching

Jong Yong Kim,

John Shawe-Taylor,

Springer Berlin Heidelberg

1992

Boltzmann machines with finite alphabet

John Shawe-Taylor,

Elsevier Science

1992

Threshold network learning in the presence of equivalences

John Shawe-Taylor,

1991

DiversiNews: surfacing diversity in online news

Exploring contexts and actions in knowledge processes

Visualization of temporal semantic spaces

Blaž Fortuna,

Dunja Mladenić,

Marko Grobelnik,

Springer Berlin Heidelberg

2009

D3. 1.1 Context Languages-State of the Art

Insights offered by data-mining when analyzing media space data

Maja Skrjanc,

Marko Grobelnik,

Darko Zupanic,

THE SLOVENE SOCIETY INFORMATIKA

2001

ASSIST: Towards label noise-robust dialogue state tracking

Tarımsal üretimde kadınların karar alma süreçlerine katılımı ve kooperatiflerden beklentileri

Tekirdag Namik Kemal University

2019

Consumer food safety knowledge, practices and differences in behaviors in thrace region of Turkey

Emine Yilmaz,

Ankara University

2015

Transport of toxic metals through the major river systems of Bangladesh

Could AI democratise education? Socio-technical imaginaries of an edtech revolution

Peek: A large dataset of learner engagement with educational videos

Structured multi-label biomedical text tagging via attentive neural tree decoding

High-probability minimax probability machines

A note on improved loss bounds for multiple kernel learning

Zakria Hussain,

John Shawe-Taylor,

2011

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011 …

カーネル法によるパターン解析

Kernel methods and support vector machines

John Shawe-Taylor,

S Sun,

2009

Kernel regression framework for machine translation: UCL system description for WMT 2008 shared translation task

Zhuoran Wang,

John Shawe-Taylor,

2008

Advances in intelligent data analysis VII [electronic resource]: 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007 …

Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes.

Savina Andonova Jaeger,

John Shawe-Taylor,

2005

A recurrent network with stochastic weights

Valid generalisation of functions from close approximations on a sample

Martin Anthony,

John Shawe-Taylor,

Oxford University Press

1994

Characterising graph drawing with eigenvectors

John Shawe-Taylor,

Tomav Pisanski,

1993

Generalised boltzmann machines

Automatic text analysis by artificial intelligence

Dunja Mladenić,

Marko Grobelnik,

2013

Contextualized question answering

Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu

2010

Large-scale hierarchical text classification using svm and coding matrices

Knowledge discovery for semantic web

Dunja Mladenić,

Marko Grobelnik,

Blaž Fortuna,

Springer Berlin Heidelberg

2009

Searchpoint-a new paradigm of web search

Boštjan Pajntar,

Marko Grobelnik,

2008

Mining Wikipedia and relating named entities over time

Publications

Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy

PAC-Bayesian analysis of martingales and multiarmed bandits

Bioinformatics and biomedicine (BIBM)

Neural correlates of tonality in music

The set covering machine with data-dependent half-spaces

Neural network learning: Theoretical foundations

Boosting the margin distribution

Bayesian voting schemes and large margin classifiers

Adapting temperature for some randomized local search algorithms

Towards a knowledge graph based platform for public procurement

Curious cat conversational crowd based and context aware knowledge acquisition chat bot

Probabilistic temporal process model for knowledge processes: handling a stream of linked text

HistoryViz–visualizing events and relations extracted from wikipedia

Using machine learning to structure the expertise of companies: Analysis of the yahoo! business data

Text and Web mining

Web site access analysis for a national statistical agency

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

Characterizing relevance on mobile and desktop

Modelling score distributions without actual scores

Low cost evaluation in information retrieval

Pemetrexed combined with paclitaxel: a dose-finding study evaluating three schedules in solid tumors

Evolution of a complex predator-prey ecosystem on large-scale multi-agent deep reinforcement learning

PAC-Bayesian analysis of the exploration-exploitation trade-off

Analysis of generic perceptron-like large margin classifiers

Complexity of pattern classes and Lipschitz property

Boosting strategy for classification

Homeomorphism of 2-complexes is graph isomorphism complete

Fast multiple keyword searching

Boltzmann machines with finite alphabet

Threshold network learning in the presence of equivalences

DiversiNews: surfacing diversity in online news

Exploring contexts and actions in knowledge processes

Visualization of temporal semantic spaces

D3. 1.1 Context Languages-State of the Art

Insights offered by data-mining when analyzing media space data

ASSIST: Towards label noise-robust dialogue state tracking

Tarımsal üretimde kadınların karar alma süreçlerine katılımı ve kooperatiflerden beklentileri

Consumer food safety knowledge, practices and differences in behaviors in thrace region of Turkey

Transport of toxic metals through the major river systems of Bangladesh

Could AI democratise education? Socio-technical imaginaries of an edtech revolution

Peek: A large dataset of learner engagement with educational videos

Structured multi-label biomedical text tagging via attentive neural tree decoding

High-probability minimax probability machines

A note on improved loss bounds for multiple kernel learning

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011 …

カーネル法によるパターン解析

Kernel methods and support vector machines

Kernel regression framework for machine translation: UCL system description for WMT 2008 shared translation task

Advances in intelligent data analysis VII [electronic resource]: 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007 …

Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes.

A recurrent network with stochastic weights

Valid generalisation of functions from close approximations on a sample

Characterising graph drawing with eigenvectors

Generalised boltzmann machines

Automatic text analysis by artificial intelligence

Contextualized question answering

Large-scale hierarchical text classification using svm and coding matrices

Knowledge discovery for semantic web

Searchpoint-a new paradigm of web search

Mining Wikipedia and relating named entities over time

OptimalAI