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
Grigorios TsoumakasAristotle University of ThessalonikiVerified email at csd.auth.gr
Massih-Reza AminiProfessor, University Grenoble AlpesVerified email at imag.fr
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
Nicolas BaskiotisLIP6, UPMCVerified email at lip6.fr
Ion AndroutsopoulosProfessor, Department of Informatics, Athens University of Economics and BusinessVerified email at aueb.gr
Rohit BabbarAalto University, Helsinki, FinlandVerified email at aalto.fi
Aris KosmopoulosNCSR Demokritos & SciFY PNPCVerified email at iit.demokritos.gr
Anastasia KritharaPost-doctoral Researcher in National Center for Scientific Research "Demokritos", Athens, GreeceVerified email at iit.demokritos.gr
Axel-Cyrille Ngonga NgomoProfessor of Data Science at Paderborn UniversityVerified email at upb.de
Prodromos MalakasiotisInstitute of Informatics & Telecommunications, NCSR "Demokritos"Verified email at iit.demokritos.gr
Petridis SergiosElsevierVerified email at elsevier.com
Anestis FachantidisPostdoctoral ResearcherVerified email at csd.auth.gr
Cédric LopezEmvista, director of researchVerified email at emvista.com
Ioannis KatakisUniversity of NicosiaVerified email at unic.ac.cy
Dimitris PolychronopoulosAstraZeneca Oncology R&DVerified email at astrazeneca.com
Michael SchroederProfessor in Bioinformatics, TU DresdenVerified email at biotec.tu-dresden.de

Ioannis Partalas

Machine Learning Scientist

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), 1-28, 2015	387	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	169	2015
An ensemble pruning primer G Tsoumakas, I Partalas, I Vlahavas Applications of supervised and unsupervised ensemble methods, 1-13, 2009	148	2009
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	127	2013
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning I Partalas, G Tsoumakas, I Vlahavas Machine Learning 81 (3), 257-282, 2010	120	2010
Pruning an ensemble of classifiers via reinforcement learning I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 72 (7-9), 1900-1909, 2009	106	2009
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. I Partalas, G Tsoumakas, IP Vlahavas ECAI, 117-121, 2008	104	2008
A taxonomy and short review of ensemble selection G Tsoumakas, I Partalas, I Vlahavas Workshop on Supervised and Unsupervised Ensemble Methods and Their …, 2008	94	2008
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	77	2013
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	67	2008
Transfer Learning in Multi-agent Reinforcement Learning Domains G Boutsioukis, I Partalas, I Vlahavas	66	2012
Ensemble pruning using reinforcement learning I Partalas, G Tsoumakas, I Katakis, I Vlahavas Hellenic Conference on Artificial Intelligence, 301-310, 2006	60	2006
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	50	2015
A study on greedy algorithms for ensemble pruning I Partalas, G Tsoumakas, I Vlahavas Aristotle University of Thessaloniki, Thessaloniki, Greece, 2012	30	2012
Learning taxonomy adaptation in large-scale classification R Babbar, I Partalas, E Gaussier, MR Amini, C Amblard The Journal of Machine Learning Research 17 (1), 3350-3386, 2016	29	2016
BioASQ: a challenge on large-scale biomedical semantic indexing and question answering G Balikas, A Krithara, I Partalas, G Paliouras International Workshop on Multimodal Retrieval in the Medical Domain, 26-39, 2015	28	2015
Transferring task models in reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 107, 23-32, 2013	27	2013
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	27	2006
Results of the First BioASQ Workshop I Partalas, E Gaussier, ACN Ngomo	26	2013
On power law distributions in large-scale taxonomies R Babbar, C Metzig, I Partalas, E Gaussier, MR Amini ACM SIGKDD explorations newsletter 16 (1), 47-56, 2014	25	2014

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