Ensemble Pruning Using Reinforcement Learning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (SETN, 2006)

Multi-agent Reinforcement Learning Using Strategies and Voting. - Ioannis Partalas; Ioannis Feneris; Ioannis P. Vlahavas (ICTAI (2), 2007)

Reinforcement Learning with Classifier Selection for Focused Crawling. - Ioannis Partalas; Georgios Paliouras; Ioannis P. Vlahavas (ECAI, 2008)

Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (ECAI, 2008)

A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion. - Ioannis Partalas; Ioannis Feneris; Ioannis P. Vlahavas (Int. J. Artif. Intell. Tools, 2008)

Greedy regression ensemble selection: Theory and an application to water quality prediction. - Ioannis Partalas; Grigorios Tsoumakas; Evaggelos V. Hatzikos; Ioannis P. Vlahavas (Inf. Sci., 2008)

Transferring experience in reinforcement learning through task decomposition. - Ioannis Partalas; Grigorios Tsoumakas; Konstantinos Tzevanidis; Ioannis P. Vlahavas (AAMAS (2), 2009)

Pruning an ensemble of classifiers via reinforcement learning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2009)

Μέθοδοι ενισχυτικής μάθησης σε συστήματα πρακτόρων - Ioannis Partalas (2009)

An Ensemble Pruning Primer. - Grigorios Tsoumakas; Ioannis Partalas; Ioannis P. Vlahavas (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Mach. Learn., 2010)

Transfer Learning in Multi-Agent Reinforcement Learning Domains. - Georgios Boutsioukis; Ioannis Partalas; Ioannis P. Vlahavas (EWRL, 2011)

Transferring Evolved Reservoir Features in Reinforcement Learning Tasks. - Kyriakos C. Chatzidimitriou; Ioannis Partalas; Pericles A. Mitkas; Ioannis P. Vlahavas (EWRL, 2011)

Transfer Learning via Multiple Inter-task Mappings. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (EWRL, 2011)

Transferring Models in Hybrid Reinforcement Learning Agents. - Anestis Fachantidis; Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (EANN, 2011)

On empirical tradeoffs in large scale hierarchical classification. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Cécile Amblard (CIKM, 2012)

Adaptive Classifier Selection in Large-Scale Hierarchical Classification. - Ioannis Partalas; Rohit Babbar; Éric Gaussier; Cécile Amblard (ICONIP (3), 2012)

Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract). - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (AAAI Spring Symposium: Lifelong Machine Learning, 2013)

Results of the First BioASQ Workshop. - Ioannis Partalas; Éric Gaussier; Axel-Cyrille Ngonga Ngomo (BioASQ@CLEF, 2013)

Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law. - Rohit Babbar; Ioannis Partalas; Cornelia Metzig; Éric Gaussier; Massih-Reza Amini (ESWC (Satellite Events), 2013)

Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini (ICONIP (1), 2013)

On Flat versus Hierarchical Classification in Large-Scale Taxonomies. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini (NIPS, 2013)

Transferring task models in Reinforcement Learning agents. - Anestis Fachantidis; Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2013)

Results of the BioASQ Track of the Question Answering Lab at CLEF 2014. - Georgios Balikas; Ioannis Partalas; Axel-Cyrille Ngonga Ngomo; Anastasia Krithara; Georgios Paliouras (CLEF (Working Notes), 2014)

An Autonomous Transfer Learning Algorithm for TD-Learners. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (SETN, 2014)

Re-ranking approach to classification in large-scale power-law distributed category systems. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini (SIGIR, 2014)

Web-scale classification: web classification in the big data era. - Ioannis Partalas; Massih-Reza Amini; Ion Androutsopoulos; Thierry Artières; Patrick Gallinari; Éric Gaussier; Georgios Paliouras (WSDM, 2014)

On power law distributions in large-scale taxonomies. - Rohit Babbar; Cornelia Metzig; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini (SIGKDD Explor., 2014)

Learning semantic models from event logs. - Vasiliki Sfyrla; Ioannis Partalas; Richard Yann; Sebastian Maunoury (BPM (Industry Track), 2015)

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. - Georgios Balikas; Anastasia Krithara; Ioannis Partalas; George Paliouras (MRDM@ECIR, 2015)

Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. - Georgios Balikas; Ioannis Partalas; Éric Gaussier; Rohit Babbar; Massih-Reza Amini (IDA, 2015)

On Binary Reduction of Large-Scale Multiclass Classification Problems. - Bikash Joshi; Massih-Reza Amini; Ioannis Partalas; Liva Ralaivola; Nicolas Usunier; Éric Gaussier (IDA, 2015)

Transfer learning with probabilistic mapping selection. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (Adapt. Behav., 2015)

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. - George Tsatsaronis 001; Georgios Balikas; Prodromos Malakasiotis; Ioannis Partalas; Matthias Zschunke; Michael R. Alvers; Dirk Weissenborn; Anastasia Krithara; Sergios Petridis; Dimitris Polychronopoulos; Yannis Almirantis; John Pavlopoulos; et al. (BMC Bioinform., 2015)

LSHTC: A Benchmark for Large-Scale Text Classification. - Ioannis Partalas; Aris Kosmopoulos; Nicolas Baskiotis; Thierry Artières; George Paliouras; Éric Gaussier; Ion Androutsopoulos; Massih-Reza Amini; Patrick Gallinari (CoRR, 2015)

Evaluation measures for hierarchical classification: a unified view and novel approaches. - Aris Kosmopoulos; Ioannis Partalas; Éric Gaussier; Georgios Paliouras; Ion Androutsopoulos (Data Min. Knowl. Discov., 2015)

Special Issue on "Solving complex machine learning problems with ensemble methods". - Daniel Hernández-Lobato; Ioannis Katakis 001; Gonzalo Martínez-Muñoz; Ioannis Partalas (Neurocomputing, 2015)

Learning to Search for Recognizing Named Entities in Twitter. - Ioannis Partalas; Cédric Lopez; Nadia Derbas; Ruslan Kalitvianski (NUT@COLING, 2016)

Comparing Named-Entity Recognizers in a Targeted Domain: Handcrafted Rules vs Machine Learning. - Ioannis Partalas; Cédric Lopez; Frédérique Segond (JEP-TALN-RECITAL (Posters), 2016)

e-Commerce product classification: our participation at cDiscount 2015 challenge. - Ioannis Partalas; Georgios Balikas (CoRR, 2016)

Learning Taxonomy Adaptation in Large-scale Classification. - Rohit Babbar; Ioannis Partalas; Éric Gaussier; Massih-Reza Amini; Cécile Amblard (J. Mach. Learn. Res., 2016)

A Hybrid Approach for Detecting Influencers in Social Media. - Ioannis Partalas; Cédric Lopez; Pierre-Alain Avouac; Matthieu Osmuk; Domoina Rabarijaona; Dana Popovici; Frédérique Segond (EGC, 2017)

Une approche hybride pour la détection d'influenceurs dans les médias sociaux. - Namrata Patel; Cédric Lopez; Ioannis Partalas; Frédérique Segond (IC, 2017)

Detecting Influencial Users in Social Networks: Analysing Graph-Based and Linguistic Perspectives. - Kévin Deturck; Namrata Patel; Pierre-Alain Avouac; Cédric Lopez; Damien Nouvel; Ioannis Partalas; Frédérique Segond (AI4KM@IJCAI, 2017)

Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. - Bikash Joshi; Massih-Reza Amini; Ioannis Partalas; Franck Iutzeler; Yury Maximov (NIPS, 2017)

On the effectiveness of feature set augmentation using clusters of word embeddings. - Georgios Balikas; Ioannis Partalas; Massih-Reza Amini (CoRR, 2017)

CAp 2017 challenge: Twitter Named Entity Recognition. - Cédric Lopez; Ioannis Partalas; Georgios Balikas; Nadia Derbas; Amélie Martin; Coralie Reutenauer; Frédérique Segond; Massih-Reza Amini (CoRR, 2017)

On the Effectiveness of Feature Set Augmentation Using Clusters of Word Embeddings. - Georgios Balikas; Ioannis Partalas (SwissText, 2018)

Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision. - Ali Sadeghian; Shervin Minaee; Ioannis Partalas; Xinxin Li; Daisy Zhe Wang; Brooke Cowan (CoRR, 2019)

Wasserstein distances for evaluating cross-lingual embeddings. - Georgios Balikas; Ioannis Partalas (CoRR, 2019)

Juggler: Multi-Stakeholder Ranking with Meta-Learning. - Tiago Cunha; Ioannis Partalas; Phong Nguyen (MORS@RecSys, 2021)

Hotel2vec: Learning Hotel Embeddings from User Click Sessions with Side Information. - Ioannis Partalas; Anne Morvan; Ali Sadeghian; Shervin Minaee; Xinxin Li; Brooke Cowan; Daisy Zhe Wang (RecTour@RecSys, 2021)

Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation. - Ioannis Partalas (CoRR, 2021)