Ioannis Partalas
Ioannis Partalas
Machine Learning Scientist
Verified email at - Homepage
TitleCited byYear
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), 138, 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
An ensemble pruning primer
G Tsoumakas, I Partalas, I Vlahavas
Applications of supervised and unsupervised ensemble methods, 1-13, 2009
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
I Partalas, G Tsoumakas, I Vlahavas
Machine Learning 81 (3), 257-282, 2010
Pruning an ensemble of classifiers via reinforcement learning
I Partalas, G Tsoumakas, I Vlahavas
Neurocomputing 72 (7-9), 1900-1909, 2009
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection.
I Partalas, G Tsoumakas, IP Vlahavas
ECAI, 117-121, 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
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
On flat versus hierarchical classification in large-scale taxonomies
R Babbar, I Partalas, E Gaussier, MR Amini
Advances in neural information processing systems, 1824-1832, 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
Ensemble pruning using reinforcement learning
I Partalas, G Tsoumakas, I Katakis, I Vlahavas
Hellenic Conference on Artificial Intelligence, 301-310, 2006
Results of the BioASQ tasks of the Question Answering Lab at CLEF 2015
G Balikas, A Kosmopoulos, A Krithara, G Paliouras, I Kakadiaris
Transfer Learning in Multi-agent Reinforcement Learning Domains
G Boutsioukis, I Partalas, I Vlahavas
A study on greedy algorithms for ensemble pruning
I Partalas, G Tsoumakas, I Vlahavas
Aristotle University of Thessaloniki, Thessaloniki, Greece, 2012
Transferring task models in reinforcement learning agents
A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas
Neurocomputing 107, 23-32, 2013
Results of the First BioASQ Workshop
I Partalas, E Gaussier, ACN Ngomo
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
Reinforcement Learning with Classifier Selection for Focused Crawling.
I Partalas, G Paliouras, IP Vlahavas
ECAI, 759-760, 2008
Evaluation framework specifications
G Balikas, I Partalas, A Kosmopoulos, S Petridis, P Malakasiotis, ...
Project deliverable D 4, 2013
Transfer Learning via Multiple Inter-Task Mappings
A Fachantidis, I Partalas, ME Taylor, I Vlahavas
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