Publications

On Some Randomised Algorithms for Graph Colouring

Janez Zerovnik,

John Shawe-Taylor,

Peter Burge,

Retrieving Keyword’s to an Image Query using Kernel CCA

David R Hardoon,

Sandor Szedmak,

John Shawe-Taylor,

SVM Resources

B. Tsybakov and ND Georganas Self-Similar Processes in Communications Networks 1713 M. Feder and A. Lapidoth Universal Decoding for Channels with Memory 1726 A. Lapidoth and J …

Michael Recce Chapter 4

Barry JP Rising,

Ulrich Roth,

Terrence J Sejnowski,

Philippe Venier,

Open Problems

Amiran Ambroladze,

John Shawe-Taylor,

Computational Learning Theory and Its Applications

N Cristianini,

John Shawe-Taylor,

Variational Inference in Stochastic Dynamic Environmental Models

Pascal Koiran DIMACS, Rutgers University

John Shawe-Taylor,

Prior Support Vector Machines: minimum-bound vs. maximum-margin classifiers

Amiran Ambroladze,

Emilio Parrado-Hernández,

John Shawe-Taylor,

Multiple Kernel Testing for SVM-based System Identification

Matthew Higgs,

John Shawe-Taylor,

A New Incremental Learning

Nick Dunkin,

John Shawe-Taylor,

Pascal Koiran,

kCCA Based Audio-Visual Speech Recognition

Benjamin J Hall,

John Shawe-Taylor,

Alan Johnston,

Generalization Bounds via Eigenvalues of the Gram Matrix

John Shawe-Taylor,

Tomaz Pisanski Dept of Theoretical Comp Sci, IMFM, University of Ljubljana, Slovenia

John Shawe-Taylor,

Advanced Topics in Machine Learning: Part I

John Shawe-Taylor,

Steffen Grünewalder,

Simon Julier,

Nello Cristianini University of Bristol Bristol, UK

John Shawe-Taylor,

Peter Sykacek,

Multinomial Relevance Feedback for Content-based Image Retrieval

John Shawe-Taylor,

PAC-Bayes Analysis of Stochastic Differntial Equation Modelling

John Shawe-Taylor,

C Archambeau,

M Opper,

Multiview Learning with Labels

Tom Diethe,

David R Hardoon,

John Shawe-Taylor,

A Correlation Approach for Automatic Image

David R Hardoon,

Craig Saunders,

Sandor Szedmak,

THE ANNALS

A commonsense-infused language-agnostic learning framework for enhancing prediction of political bias in multilingual news headlines

Swati Swati,

Adrian Mladenić Grobelnik,

Dunja Mladenić,

Elsevier

2023

An Inferential Commonsense-Driven Framework for Predicting Political Bias in News Headlines

Proceedings of the First Workshop on Matching From Unstructured and Structured Data (MATCHING 2023)

Feature Management for Machine Learning Operation Pipelines in AI Native Networks

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning

AI-based Strategic Foresight for Environment Protection

Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage

Semi-Supervised Event Predictions with Graph Networks

AI, What Does the Future Hold for Us? Automating Strategic Foresight

Classification of news spreading barriers

Profiling the news spreading barriers using news headlines

Profiling the barriers to the spreading of news using news headlines

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning (preprint)

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines

Swati Swati,

Adrian Mladenić Grobelnik,

Dunja Mladenić,

2022

Slovenian commonsense reasoning model SloMET-ATOMIC 2020

Adrian Mladenić Grobelnik,

Erik Novak,

Dunja Mladenić,

Jožef Stefan Institute

2022

Slovene Translation of the Atomic 2020 data set SloATOMIC 2020

Adrian Mladenić Grobelnik,

Erik Novak,

Dunja Mladenić,

Jožef Stefan Institute

2022

A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation

F1000 Research Limited

2022

Proceedings of the 2nd Workshop on Deriving Insights from User-Generated Text

Emotion Recognition in Text using Graph Similarity Criteria

WIT: Workshop on deriving Insights from user-generated Text

Report on the 30th the web conference 2021 (TheWebConf2021)

NewsMeSH: A new classifier designed to annotate health news with MeSH headings.

Understanding Text Using Agent Based Models

Adrian Mladenic Grobelnik,

Marko Grobelnik,

Dunja Mladenic,

2021

A Semantic Model for Interchangeable Microservices in Cloud Continuum Computing. Information 2021, 12, 40

s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affil-iations.

2021

TheyBuyForYou: Enabling Procurement Data Value Chains

Springer International Publishing

2020

Monitoring COVID-19 through text mining and visualization

Health News Bias and its impact in Public Health

Introduction to the Special Anniversary Issue on” AI in Slovenia”

Mitja Lustrek,

Jure Zabkar,

Marko Grobelnik,

Slovenian Society Informatika

2018

Text mining MEDLINE to support public health

Leadership and Balance in Research

Dunja Mladenić,

Marko Grobelnik,

Springer International Publishing

2017

Efficient Real-Time Big Data Processing at the Edge of the Network–The PrEstoCloud project

Web Semantics: Science, Services and Agents on the World Wide Web

Proceedings of the 8th extended semantic web conference on The semanic web: research and applications-Volume Part II

Grigoris Antoniou,

Marko Grobelnik,

Elena Simperl,

Dimitris Plexousakis,

Springer-Verlag

2011

The Semantic Web: Research and Applications: Proceedings of the 8th Extended Semantic Web Conference, ESWC 2011, Part II, Heraklion, Crete, LNCS 6644

Knowledge process mining and optimization

Video search: are algorithms all we need?

Guest editors’ introduction: special issue of selected papers from ECML PKDD 2009

Guest editors’ introduction: Special Issue from ECML PKDD 2009

Publications

On Some Randomised Algorithms for Graph Colouring

Retrieving Keyword’s to an Image Query using Kernel CCA

SVM Resources

B. Tsybakov and ND Georganas Self-Similar Processes in Communications Networks 1713 M. Feder and A. Lapidoth Universal Decoding for Channels with Memory 1726 A. Lapidoth and J …

Michael Recce Chapter 4

Open Problems

Computational Learning Theory and Its Applications

Variational Inference in Stochastic Dynamic Environmental Models

Pascal Koiran DIMACS, Rutgers University

Prior Support Vector Machines: minimum-bound vs. maximum-margin classifiers

Multiple Kernel Testing for SVM-based System Identification

A New Incremental Learning

kCCA Based Audio-Visual Speech Recognition

Generalization Bounds via Eigenvalues of the Gram Matrix

Tomaz Pisanski Dept of Theoretical Comp Sci, IMFM, University of Ljubljana, Slovenia

Advanced Topics in Machine Learning: Part I

Nello Cristianini University of Bristol Bristol, UK

Multinomial Relevance Feedback for Content-based Image Retrieval

PAC-Bayes Analysis of Stochastic Differntial Equation Modelling

Multiview Learning with Labels

A Correlation Approach for Automatic Image

THE ANNALS

A commonsense-infused language-agnostic learning framework for enhancing prediction of political bias in multilingual news headlines

An Inferential Commonsense-Driven Framework for Predicting Political Bias in News Headlines

Proceedings of the First Workshop on Matching From Unstructured and Structured Data (MATCHING 2023)

Feature Management for Machine Learning Operation Pipelines in AI Native Networks

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning

AI-based Strategic Foresight for Environment Protection

Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage

Semi-Supervised Event Predictions with Graph Networks

AI, What Does the Future Hold for Us? Automating Strategic Foresight

Classification of news spreading barriers

Profiling the news spreading barriers using news headlines

Profiling the barriers to the spreading of news using news headlines

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning (preprint)

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines

Slovenian commonsense reasoning model SloMET-ATOMIC 2020

Slovene Translation of the Atomic 2020 data set SloATOMIC 2020

A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation

Proceedings of the 2nd Workshop on Deriving Insights from User-Generated Text

Emotion Recognition in Text using Graph Similarity Criteria

WIT: Workshop on deriving Insights from user-generated Text

Report on the 30th the web conference 2021 (TheWebConf2021)

NewsMeSH: A new classifier designed to annotate health news with MeSH headings.

Understanding Text Using Agent Based Models

A Semantic Model for Interchangeable Microservices in Cloud Continuum Computing. Information 2021, 12, 40

TheyBuyForYou: Enabling Procurement Data Value Chains

Monitoring COVID-19 through text mining and visualization

Health News Bias and its impact in Public Health

Introduction to the Special Anniversary Issue on” AI in Slovenia”

Text mining MEDLINE to support public health

Leadership and Balance in Research

Efficient Real-Time Big Data Processing at the Edge of the Network–The PrEstoCloud project

Web Semantics: Science, Services and Agents on the World Wide Web

Proceedings of the 8th extended semantic web conference on The semanic web: research and applications-Volume Part II

The Semantic Web: Research and Applications: Proceedings of the 8th Extended Semantic Web Conference, ESWC 2011, Part II, Heraklion, Crete, LNCS 6644

Knowledge process mining and optimization

Video search: are algorithms all we need?

Guest editors’ introduction: special issue of selected papers from ECML PKDD 2009

Guest editors’ introduction: Special Issue from ECML PKDD 2009

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