Ioannis Partalas

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Eric GaussierProfessor Univ. Grenoble AlpesVerified email at imag.fr
Ioannis VlahavasProfessor of Computer Science, Aristotle University of Thessaloniki, GreeceVerified email at csd.auth.gr
Georgios BalikasChief Scientist, Kelkoo GroupVerified email at kelkoogroup.com
Grigorios TsoumakasAristotle University of ThessalonikiVerified email at csd.auth.gr
Georgios PaliourasNational Center for Scientific Research "Demokritos", Athens, GreeceVerified email at iit.demokritos.gr
Patrick GallinariProfessor Sorbonne University / Criteo AI LabVerified email at sorbonne-universite.fr
Thierry ArtieresProfesseur d'informatique, Ecole Centrale Marseille, LIS, Aix-Marseille Université, CNRSVerified email at lis-lab.fr
Massih-Reza AminiProfessor, University Grenoble AlpesVerified email at imag.fr
Nicolas BaskiotisISIR, Sorbonne UniversitéVerified email at sorbonne-universite.fr
Ion AndroutsopoulosProfessor, Department of Informatics, Athens University of Economics and BusinessVerified email at aueb.gr
Anastasia KritharaResearcher in National Center for Scientific Research "Demokritos", Athens, GreeceVerified email at iit.demokritos.gr
Rohit BabbarUniversity of Bath, UK and Aalto University, Helsinki, FinlandVerified email at aalto.fi
Axel-Cyrille Ngonga NgomoProfessor of Data Science at Paderborn UniversityVerified email at upb.de
Aris KosmopoulosNCSR Demokritos & SciFY PNPCVerified email at iit.demokritos.gr
Prodromos MalakasiotisPrincipal Machine Learning Engineer at WorkableVerified email at aueb.gr
Petridis SergiosElsevierVerified email at elsevier.com
Anestis FachantidisResearcher - Co-founder, Medoid AIVerified email at csd.auth.gr
Cédric LopezEmvista, research directorVerified email at emvista.com
Ioannis KatakisUniversity of NicosiaVerified email at unic.ac.cy
Dimitris PolychronopoulosDirector, In Silico Biology @Ochre BioVerified email at ochre-bio.com

Ioannis Partalas

Machine Learning Scientist, Expedia Group

Verified email at expediagroup.com - Homepage

Machine Learning


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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition G Tsatsaronis, G Balikas, P Malakasiotis, I Partalas, M Zschunke, ... BMC bioinformatics 16, 1-28, 2015	650	2015
Lshtc: A benchmark for large-scale text classification I Partalas, A Kosmopoulos, N Baskiotis, T Artieres, G Paliouras, ... arXiv preprint arXiv:1503.08581, 2015	211	2015
Evaluation Measures for Hierarchical Classification: a unified view and novel approaches A Kosmopoulos, I Partalas, E Gaussier, G Paliouras, I Androutsopoulos Data Mining and Knowledge Discovery, Springer, 2013	203	2013
An ensemble pruning primer G Tsoumakas, I Partalas, I Vlahavas Applications of supervised and unsupervised ensemble methods, 1-13, 2009	175	2009
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning I Partalas, G Tsoumakas, I Vlahavas Machine Learning 81, 257-282, 2010	135	2010
A taxonomy and short review of ensemble selection G Tsoumakas, I Partalas, I Vlahavas Workshop on Supervised and Unsupervised Ensemble Methods and Their …, 2008	114	2008
Focused ensemble selection: A diversity-based method for greedy ensemble selection I Partalas, G Tsoumakas, I Vlahavas ECAI 2008, 117-121, 2008	114	2008
Pruning an ensemble of classifiers via reinforcement learning I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 72 (7-9), 1900-1909, 2009	112	2009
On flat versus hierarchical classification in large-scale taxonomies R Babbar, I Partalas, E Gaussier, MR Amini Advances in neural information processing systems 26, 2013	96	2013
Transfer Learning in Multi-agent Reinforcement Learning Domains G Boutsioukis, I Partalas, I Vlahavas	85	2012
Greedy regression ensemble selection: Theory and an application to water quality prediction I Partalas, G Tsoumakas, EV Hatzikos, I Vlahavas Information Sciences 178 (20), 3867-3879, 2008	83	2008
Ensemble pruning using reinforcement learning I Partalas, G Tsoumakas, I Katakis, I Vlahavas Advances in Artificial Intelligence: 4th Helenic Conference on AI, SETN 2006 …, 2006	64	2006
Modern applications of machine learning G Tzanis, I Katakis, I Partalas, I Vlahavas Proceedings of the 1st Annual SEERC Doctoral Student Conference–DSC 1 (1), 1-10, 2006	51	2006
BioASQ: a challenge on large-scale biomedical semantic indexing and question answering G Balikas, A Krithara, I Partalas, G Paliouras Multimodal Retrieval in the Medical Domain: First International Workshop …, 2015	44	2015
Learning taxonomy adaptation in large-scale classification R Babbar, I Partalas, E Gaussier, MR Amini, C Amblard Journal of Machine Learning Research 17 (98), 1-37, 2016	40	2016
Results of the BioASQ Track of the Question Answering Lab at CLEF 2014. G Balikas, I Partalas, ACN Ngomo, A Krithara, G Paliouras CLEF (Working Notes), 1181-1193, 2014	37	2014
A study on greedy algorithms for ensemble pruning I Partalas, G Tsoumakas, I Vlahavas Aristotle University of Thessaloniki, Thessaloniki, Greece, 2012	35	2012
Transferring task models in reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 107, 23-32, 2013	34	2013
Evaluation framework specifications G Balikas, I Partalas, A Kosmopoulos, S Petridis, P Malakasiotis, ... Project deliverable D 4, 2013	32	2013
Results of the BioASQ tasks of the Question Answering Lab at CLEF 2015 G Balikas, A Kosmopoulos, A Krithara, G Paliouras, I Kakadiaris CLEF 2015, 2015	29	2015

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