Georgios Paliouras

According to our database1, Georgios Paliouras authored at least 145 papers between 1995 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Event Forecasting with Pattern Markov Chains.
CoRR, 2018

Symbolic Automata with Memory: a Computational Model for Complex Event Processing.
CoRR, 2018

Semi-Supervised Online Structure Learning for Composite Event Recognition.
CoRR, 2018

The Complex Event Recognition Group.
CoRR, 2018

Predicting the Evolution of Communities with Online Inductive Logic Programming.
Proceedings of the 25th International Symposium on Temporal Representation and Reasoning, 2018

Identifying Retweetable Tweets with a Personalized Global Classifier.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Towards Human Activity Reasoning with Computational Logic and Deep Learning.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

A Parallel Algorithm for Tracking Dynamic Communities based on Apache Flink.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Interval-based Activity Recognition.
Proceedings of the 5th International Workshop on Probabilistic Logic Programming, 2018

TimeRank: A Random Walk Approach for Community Discovery in Dynamic Networks.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
Probabilistic Complex Event Recognition: A Survey.
ACM Comput. Surv., 2017

Identifying Retweetable Tweets with a Personalized Global Classifier.
CoRR, 2017

An Integrated and Scalable Platform for Proactive Event-Driven Traffic Management.
CoRR, 2017

Distributed Online Learning of Event Definitions.
CoRR, 2017

Probabilistic Complex Event Recognition: A Survey.
CoRR, 2017

A Personalized Global Filter To Predict Retweets.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Predicting the evolution of communities in social networks using structural and temporal features.
Proceedings of the 12th International Workshop on Semantic and Social Media Adaptation and Personalization, 2017

Parallel Online Learning of Event Definitions.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Demonstration of a Prototype for Credit Card Fraud Management: Demo.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

A Prototype for Credit Card Fraud Management: Industry Paper.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

Event Forecasting with Pattern Markov Chains.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

Splice Site Prediction: Transferring Knowledge Across Organisms.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

Results of the fifth edition of the BioASQ Challenge.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2016
Graph vs. bag representation models for the topic classification of web documents.
World Wide Web, 2016

Online learning of event definitions.
TPLP, 2016

Report on the SIGIR 2016 Workshop on Medical Information Retrieval (MedIR).
SIGIR Forum, 2016

Online Learning of Event Definitions.
CoRR, 2016

Medical Information Search Workshop (MEDIR).
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

\mathtt OSLα : Online Structure Learning Using Background Knowledge Axiomatization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Online Structure Learning for Traffic Management.
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

A Distributed Event Calculus for Event Recognition.
Proceedings of the 2nd Workshop on Artificial Intelligence and Internet of Things co-located with the 22nd European Conference on Artificial Intelligence (ECAI 2016), 2016

2015
A probabilistic logic programming event calculus.
TPLP, 2015

Probabilistic Event Calculus for Event Recognition.
ACM Trans. Comput. Log., 2015

An Event Calculus for Event Recognition.
IEEE Trans. Knowl. Data Eng., 2015

Incremental learning of event definitions with Inductive Logic Programming.
Machine Learning, 2015

Evaluation measures for hierarchical classification: a unified view and novel approaches.
Data Min. Knowl. Discov., 2015

LSHTC: A Benchmark for Large-Scale Text Classification.
CoRR, 2015

Probabilistic Cascading for Large Scale Hierarchical Classification.
CoRR, 2015

Reactive Reasoning with the Event Calculus.
CoRR, 2015

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.
BMC Bioinformatics, 2015

Determining Influential Users with Supervised Random Walks.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Predicting the Evolution of Communities in Social Networks.
Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics, 2015

Similarity-Based User Identification Across Social Networks.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Towards Open Domain Event Extraction from Twitter: REVEALing Entity Relations.
Proceedings of the 4th International Workshop on Detection, 2015

Complex Event Processing Under Uncertainty: A Short Survey.
Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

Overview of the CLEF Question Answering Track 2015.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015

Results of the BioASQ Tasks of the Question Answering Lab at CLEF 2015.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
ER designer toolkit: a graphical event definition authoring tool.
Universal Access in the Information Society, 2014

Scalable Proactive Event-Driven Decision Making.
IEEE Technol. Soc. Mag., 2014

Incremental Learning of Event Definitions with Inductive Logic Programming.
CoRR, 2014

Web-scale classification: web classification in the big data era.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Spam Filtering: an Active Learning Approach using Incremental Clustering.
Proceedings of the 4th International Conference on Web Intelligence, 2014

Event Recognition for Unobtrusive Assisted Living.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Splice Site Recognition Using Transfer Learning.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Tutorial: Formal Methods for Event Processing.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

The Effect of Dimensionality Reduction on Large Scale Hierarchical Classification.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Interaction, 2014

Results of the BioASQ Track of the Question Answering Lab at CLEF 2014.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

Analysis and Classification of Constrained DNA Elements with N-gram Graphs and Genomic Signatures.
Proceedings of the Algorithms for Computational Biology - First International Conference, 2014

2013
Evaluation Measures for Hierarchical Classification: a unified view and novel approaches.
CoRR, 2013

Event recognition for assisted independent living.
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013

TL-PLSA: Transfer Learning between Domains with Different Classes.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Discovery of Web user communities and their role in personalization.
User Model. User-Adapt. Interact., 2012

Logic-based event recognition.
Knowledge Eng. Review, 2012

Expert and community based style advice.
Expert Syst. Appl., 2012

Probabilistic Event Calculus for Event Recognition
CoRR, 2012

A Probabilistic Logic Programming Event Calculus
CoRR, 2012

Representation models for text classification: a comparative analysis over three web document types.
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

User-Oriented Evaluation of Event-Based Decision Support Systems.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Event Processing for Intelligent Resource Management.
Proceedings of the ECAI 2012, 2012

Run-time composite event recognition.
Proceedings of the Sixth ACM International Conference on Distributed Event-Based Systems, 2012

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.
Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012

2011
Gold Standard Evaluation of Ontology Learning Methods through Ontology Transformation and Alignment.
IEEE Trans. Knowl. Data Eng., 2011

Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes.
Journal of Machine Learning Research, 2011

ELS: a word-level method for entity-level sentiment analysis.
Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 2011

Classifying Users and Identifying User Interests in Folksonomies.
Proceedings of the second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation 2011, 2011

Probabilistic Event Calculus Based on Markov Logic Networks.
Proceedings of the Rule-Based Modeling and Computing on the Semantic Web, 2011

ER designer toolkit: a graphical event definition authoring tool.
Proceedings of the PETRA 2011, 2011

Ontology Population and Enrichment: State of the Art.
Proceedings of the Knowledge-Driven Multimedia Information Extraction and Ontology Evolution, 2011

Bootstrapping Ontology Evolution with Multimedia Information Extraction.
Proceedings of the Knowledge-Driven Multimedia Information Extraction and Ontology Evolution, 2011

2010
Learning subsumption hierarchies of ontology concepts from texts.
Web Intelligence and Agent Systems, 2010

Personalizing Web Directories with the Aid of Web Usage Data.
IEEE Trans. Knowl. Data Eng., 2010

The ECIR 2010 large scale hierarchical classification workshop.
SIGIR Forum, 2010

Behaviour Recognition from Video Content: a Logic Programming Approach.
International Journal on Artificial Intelligence Tools, 2010

Allen's Hourglass: Probabilistic Treatment of Interval Relations.
Proceedings of the TIME 2010, 2010

Expert based prediction of user preferences.
Proceedings of the 5th International Workshop on Semantic Media Adaptation and Personalization, 2010

Scalable Semantic Annotation of Text Using Lexical and Web Resources.
Proceedings of the Artificial Intelligence: Theories, 2010

KDTA: Automated Knowledge-Driven Text Annotation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

A logic programming approach to activity recognition.
Proceedings of the 2nd ACM international workshop on Events in multimedia, 2010

Logic-based representation, reasoning and machine learning for event recognition.
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems, 2010

2009
A Logic Programming Approach to Behaviour Recognition
CoRR, 2009

Behaviour Recognition using the Event Calculus.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

2008
Modeling Web Navigation Using Grammatical Inference.
Applied Artificial Intelligence, 2008

Learning Ontologies of Appropriate Size.
Proceedings of the Artificial Intelligence: Theories, 2008

MyCites: An Intelligent Information System for Maintaining Citations.
Proceedings of the Artificial Intelligence: Theories, 2008

Ontology-Based Rescue Operation Management.
Proceedings of the Mobile Response, 2008

Determining Automatically the Size of Learned Ontologies.
Proceedings of the ECAI 2008, 2008

Learning context-free grammars to extract relations from text.
Proceedings of the ECAI 2008, 2008

Reinforcement Learning with Classifier Selection for Focused Crawling.
Proceedings of the ECAI 2008, 2008

2007
Guest editorial to the special issue on grammatical inference.
Machine Learning, 2007

Discovering Subsumption Hierarchies of Ontology Concepts from Text Corpora.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

SaR Resource Management Based on Description Logics.
Proceedings of the Mobile Response, 2007

2006
SHARE-ODS: An Ontology Data Service for Search and Rescue Operations.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Management of Large Spatial Ontology Bases.
Proceedings of the Ontologies-Based Databases and Information Systems, 2006

PNS: Personalized Multi-source News Delivery.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Knowledge Acquisition from Multimedia Content using an Evolution Framework.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006

Spam Filtering with Naive Bayes - Which Naive Bayes?
Proceedings of the CEAS 2006, 2006

2005
Combining Information Extraction Systems Using Voting and Stacked Generalization.
Journal of Machine Learning Research, 2005

Exploiting Probabilistic Latent Information for the Construction of Community Web Directories.
Proceedings of the User Modeling 2005, 2005

On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning.
Proceedings of the Conceptual Structures: Common Semantics for Sharing Knowledge, 2005

2004
e-GRIDS: Computationally Efficient Gramatical Inference from Positive Examples.
Grammars, 2004

A Name-Matching Algorithm for Supporting Ontology Enrichment.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004

Focused Crawling Using Temporal Difference-Learning.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004

eg-GRIDS: Context-Free Grammatical Inference from Positive Examples Using Genetic Search.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2004

Navigation Pattern Discovery Using Grammatical Inference.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2004

Enhancing Ontological Knowledge Through Ontology Population and Enrichment.
Proceedings of the Engineering Knowledge in the Age of the Semantic Web, 2004

Stacked Generalization for Information Extraction.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Filtron: A Learning-Based Anti-Spam Filter.
Proceedings of the CEAS 2004, 2004

2003
Web Usage Mining as a Tool for Personalization: A Survey.
User Model. User-Adapt. Interact., 2003

A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists.
Inf. Retr., 2003

Annotating Web pages for the needs of Web Information Extraction Applications.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing.
Proceedings of the Web Mining: From Web to Semantic Web, 2003

Web Community Directories: A New Approach to Web Personalization.
Proceedings of the Web Mining: From Web to Semantic Web, 2003

2002
Discovering user communities on the Internet using unsupervised machine learning techniques.
Interacting with Computers, 2002

Ellogon: A New Text Engineering Platform
CoRR, 2002

Role Identification from Free Text Using Hidden Markov Models.
Proceedings of the Methods and Applications of Artificial Intelligence, 2002

Ellogon: A New Text Engineering Platform.
Proceedings of the Third International Conference on Language Resources and Evaluation, 2002

Symbolic and Neural Learning of Named-Entity Recognition and Classification Systems in Two Languages.
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002

2001
Stacking classifiers for anti-spam filtering of e-mail
CoRR, 2001

Stacking Classifiers for Anti-Spam Filtering of E-Mail.
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2001

Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems.
Proceedings of the Association for Computational Linguistic, 2001

Data Mining in Economics, Finance, and Marketing.
Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

2000
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
CoRR, 2000

An evaluation of Naive Bayesian anti-spam filtering
CoRR, 2000

Automatic adaptation of proper noun dictionaries through cooperation of machine learning and probabilistic methods.
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers.
Proceedings of the Natural Language Processing, 2000

Clustering the Users of Large Web Sites into Communities.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Automatic Web Rating: Filtering Obscene Content on the Web.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2000

1999
Named-Entity Recognition from Greek and English Texts.
Journal of Intelligent and Robotic Systems, 1999

A Comparison of Logistic Regression to Decision Tree Induction in the Diagnosis of Carpal Tunnel Syndrome.
Comp. and Biomed. Research, 1999

Resolving Part-of-Speech Ambiguity in the Greek Language Using Learning Techniques
CoRR, 1999

Learning Rules for Large Vocabulary Word Sense Disambiguation.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1998
Learning User Communities for Improving the Services of Information Providers.
Proceedings of the Research and Advanced Technology for Digital Libraries, 1998

1996
Book reviews.
Minds and Machines, 1996

1995
The Effect of Numeric Features on the Scalability of Inductive Learning Programs.
Proceedings of the Machine Learning: ECML-95, 1995


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