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Ioannis Partalas · SciRah

Researcher profile · Semantic Scholar

Ioannis Partalas

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Ioannis Partalas — researcher profile on SciRah

h-index: 19
Works: 57
Citations: 2,409

Most-cited papers

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
G. Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas +18 more
2015BMC Bioinformatics881 citations Open access
Semantic Scholar
Evaluation measures for hierarchical classification: a unified view and novel approaches
Aris Kosmopoulos, Ioannis Partalas, Éric Gaussier, G. Paliouras +1 more
2013Data mining and knowledge discovery223 citations Open access
Semantic Scholar
LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, T. Artières +5 more
2015arXiv.org187 citations
Semantic Scholar
An Ensemble Pruning Primer
Grigorios Tsoumakas, Ioannis Partalas, I. Vlahavas
2009Applications of Supervised and Unsupervised Ensemble Methods144 citations
Semantic Scholar
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
Ioannis Partalas, Grigorios Tsoumakas, I. Vlahavas
2010Machine-mediated learning119 citations Open access
Semantic Scholar
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection
Ioannis Partalas, Grigorios Tsoumakas, I. Vlahavas
2008European Conference on Artificial Intelligence96 citations Open access
Semantic Scholar
Pruning an ensemble of classifiers via reinforcement learning
Ioannis Partalas, Grigorios Tsoumakas, I. Vlahavas
2009Neurocomputing90 citations
Semantic Scholar
On Flat versus Hierarchical Classification in Large-Scale Taxonomies
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2013Neural Information Processing Systems79 citations
Semantic Scholar
Transfer Learning in Multi-Agent Reinforcement Learning Domains
G. Boutsioukis, Ioannis Partalas, I. Vlahavas
2011European Workshop on Reinforcement Learning68 citations Open access
Semantic Scholar
Greedy regression ensemble selection: Theory and an application to water quality prediction
Ioannis Partalas, Grigorios Tsoumakas, E. Hatzikos, I. Vlahavas
2008Information Sciences65 citations Open access
Semantic Scholar
Ensemble Pruning Using Reinforcement Learning
Ioannis Partalas, Grigorios Tsoumakas, I. Katakis, I. Vlahavas
2006Hellenic Conference on Artificial Intelligence48 citations
Semantic Scholar
Learning Taxonomy Adaptation in Large-scale Classification
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini +1 more
2016Journal of machine learning research34 citations
Semantic Scholar
Transferring task models in Reinforcement Learning agents
A. Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, I. Vlahavas
2013Neurocomputing27 citations
Semantic Scholar
Results of the BioASQ Track of the Question Answering Lab at CLEF 2014
Georgios Balikas, Ioannis Partalas, Axel-Cyrille Ngonga Ngomo, Anastasia Krithara +1 more
2014Conference and Labs of the Evaluation Forum24 citations
Semantic Scholar
Results of the First BioASQ Workshop
Ioannis Partalas, Éric Gaussier, Axel-Cyrille Ngonga Ngomo
2013BioASQ@CLEF23 citations
Semantic Scholar
A Study on Greedy Algorithms for Ensemble Pruning
Ioannis Partalas, Grigorios Tsoumakas, I. Vlahavas
201221 citations
Semantic Scholar
Comparison of Event Models for Naïve Bayes
Hetal M. Doshi, M. Zalte, K. Murphy, Andrew Mccallum +6 more
202020 citations
Semantic Scholar
On power law distributions in large-scale taxonomies
Rohit Babbar, Cornelia Metzig, Ioannis Partalas, Éric Gaussier +1 more
2014SKDD20 citations Open access
Semantic Scholar
Modern Applications of Machine Learning
G. Tzanis, I. Katakis, Ioannis Partalas, I. Vlahavas
200620 citations
Semantic Scholar
Transfer learning with probabilistic mapping selection
A. Fachantidis, Ioannis Partalas, Matthew E. Taylor, I. Vlahavas
2015Adaptive Behavior19 citations
Semantic Scholar
Learning to Search for Recognizing Named Entities in Twitter
Ioannis Partalas, C. Lopez, N. Derbas, Ruslan Kalitvianski
2016NUT@COLING18 citations
Semantic Scholar
Transfer Learning via Multiple Inter-task Mappings
A. Fachantidis, Ioannis Partalas, Matthew E. Taylor, I. Vlahavas
2011European Workshop on Reinforcement Learning17 citations
Semantic Scholar
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, F. Iutzeler +1 more
2017Neural Information Processing Systems16 citations
Semantic Scholar
CAp 2017 challenge: Twitter Named Entity Recognition
C. Lopez, Ioannis Partalas, Georgios Balikas, N. Derbas +4 more
2017arXiv.org15 citations
Semantic Scholar
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2013International Conference on Neural Information Processing15 citations Open access
Semantic Scholar
Reinforcement Learning with Classifier Selection for Focused Crawling
Ioannis Partalas, G. Paliouras, I. Vlahavas
2008European Conference on Artificial Intelligence14 citations Open access
Semantic Scholar
Reinforcement Learning and Automated Planning: A Survey
Ioannis Partalas, D. Vrakas, I. Vlahavas
200811 citations
Semantic Scholar
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
A. Sadeghian, Shervin Minaee, Ioannis Partalas, Xin-Xin Li +2 more
2019arXiv.org10 citations
Semantic Scholar
Transferring Evolved Reservoir Features in Reinforcement Learning Tasks
Kyriakos C. Chatzidimitriou, Ioannis Partalas, P. Mitkas, I. Vlahavas
2011European Workshop on Reinforcement Learning10 citations
Semantic Scholar
Re-ranking approach to classification in large-scale power-law distributed category systems
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2014Annual International ACM SIGIR Conference on Research and Development in Information Retrieval9 citations Open access
Semantic Scholar
Web-scale classification: web classification in the big data era
Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, T. Artières +3 more
2014Web Search and Data Mining8 citations
Semantic Scholar
A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion
Ioannis Partalas, Ioannis Feneris, I. Vlahavas
2008Int. J. Artif. Intell. Tools8 citations Open access
Semantic Scholar
Ensemble Selection for Water Quality Prediction
Ioannis Partalas, E. Hatzikos
20076 citations
Semantic Scholar
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
Georgios Balikas, Ioannis Partalas, Éric Gaussier, Rohit Babbar +1 more
2015International Symposium on Intelligent Data Analysis5 citations Open access
Semantic Scholar
Adaptive Classifier Selection in Large-Scale Hierarchical Classification
Ioannis Partalas, Rohit Babbar, Éric Gaussier, Cécile Amblard
2012International Conference on Neural Information Processing5 citations Open access
Semantic Scholar
Multi-agent Reinforcement Learning Using Strategies and Voting
Ioannis Partalas, Ioannis Feneris, I. Vlahavas
2007IEEE International Conference on Tools with Artificial Intelligence5 citations
Semantic Scholar
On Binary Reduction of Large-Scale Multiclass Classification Problems
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, L. Ralaivola +2 more
2015International Symposium on Intelligent Data Analysis4 citations
Semantic Scholar
Transferring Models in Hybrid Reinforcement Learning Agents
A. Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, I. Vlahavas
2011International Conference on Engineering Applications of Neural Networks4 citations Open access
Semantic Scholar
Juggler: Multi-Stakeholder Ranking with Meta-Learning
Tiago Cunha, Ioannis Partalas, P. Nguyen
2021MORS@RecSys3 citations
Semantic Scholar
Detecting Influencial Users in Social Networks: Analysing Graph-Based and Linguistic Perspectives
Kévin Deturck, Namrata Patel, Pierre-Alain Avouac, C. Lopez +3 more
2017AI4KM@IJCAI3 citations Open access
Semantic Scholar
Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law
Rohit Babbar, Ioannis Partalas, Cornelia Metzig, Éric Gaussier +1 more
2013Extended Semantic Web Conference3 citations Open access
Semantic Scholar
Hotel2vec: Learning Hotel Embeddings from User Click Sessions with Side Information
Ioannis Partalas, Anne Morvan, A. Sadeghian, Shervin Minaee +3 more
2021RecTour@RecSys2 citations
Semantic Scholar
Extracting Absolute Spatial Entities from SMS: Comparing a Supervised and an Unsupervised Approach
C. Lopez, Sarah Zenasni, É. Kergosien, Ioannis Partalas +3 more
20182 citations
Semantic Scholar
On the Effectiveness of Feature Set Augmentation Using Clusters of Word Embeddings
Georgios Balikas, Ioannis Partalas, Massih-Reza Amini
2017Swiss Text Analytics Conference2 citations
Semantic Scholar
An Autonomous Transfer Learning Algorithm for TD-Learners
A. Fachantidis, Ioannis Partalas, Matthew E. Taylor, I. Vlahavas
2014Hellenic Conference on Artificial Intelligence2 citations
Semantic Scholar
On empirical tradeoffs in large scale hierarchical classification
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Cécile Amblard
2012International Conference on Information and Knowledge Management2 citations Open access
Semantic Scholar
Wasserstein distances for evaluating cross-lingual embeddings
Georgios Balikas, Ioannis Partalas
2019arXiv.org1 citations
Semantic Scholar
e-Commerce product classification: our participation at cDiscount 2015 challenge
Ioannis Partalas, Georgios Balikas
2016arXiv.org1 citations
Semantic Scholar
Comparing Named-Entity Recognizers in a Targeted Domain: Handcrafted Rules vs Machine Learning
Ioannis Partalas, C. Lopez, F. Segond
2016JEPTALNRECITAL1 citations
Semantic Scholar
Special Issue on "Solving complex machine learning problems with ensemble methods"
Daniel Hernández-Lobato, I. Katakis, G. Martínez-Muñoz, Ioannis Partalas
2015Neurocomputing1 citations
Semantic Scholar

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