Ioannis Partalas
Ioannis Partalas
Machine Learning Scientist
Verified email at expediagroup.com - Homepage
Title
Cited by
Cited by
Year
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
2972015
Lshtc: A benchmark for large-scale text classification
I Partalas, A Kosmopoulos, N Baskiotis, T Artieres, G Paliouras, ...
arXiv preprint arXiv:1503.08581, 2015
1532015
An ensemble pruning primer
G Tsoumakas, I Partalas, I Vlahavas
Applications of supervised and unsupervised ensemble methods, 1-13, 2009
1332009
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
I Partalas, G Tsoumakas, I Vlahavas
Machine Learning 81 (3), 257-282, 2010
1072010
Pruning an ensemble of classifiers via reinforcement learning
I Partalas, G Tsoumakas, I Vlahavas
Neurocomputing 72 (7-9), 1900-1909, 2009
1012009
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
992013
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection.
I Partalas, G Tsoumakas, IP Vlahavas
ECAI, 117-121, 2008
962008
A taxonomy and short review of ensemble selection
G Tsoumakas, I Partalas, I Vlahavas
Workshop on Supervised and Unsupervised Ensemble Methods and Their …, 2008
862008
On flat versus hierarchical classification in large-scale taxonomies
R Babbar, I Partalas, E Gaussier, MR Amini
27th Annual Conference on Neural Information Processing Systems (NIPS 26 …, 2013
712013
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
592008
Transfer Learning in Multi-agent Reinforcement Learning Domains
G Boutsioukis, I Partalas, I Vlahavas
562012
Ensemble pruning using reinforcement learning
I Partalas, G Tsoumakas, I Katakis, I Vlahavas
Hellenic Conference on Artificial Intelligence, 301-310, 2006
562006
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
492015
A study on greedy algorithms for ensemble pruning
I Partalas, G Tsoumakas, I Vlahavas
Aristotle University of Thessaloniki, Thessaloniki, Greece, 2012
282012
Transferring task models in reinforcement learning agents
A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas
Neurocomputing 107, 23-32, 2013
272013
Results of the First BioASQ Workshop
I Partalas, E Gaussier, ACN Ngomo
252013
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
242014
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
232016
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
232006
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
222015
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