Volgen
Ioannis Partalas
Ioannis Partalas
Machine Learning Scientist
Geverifieerd e-mailadres voor expediagroup.com - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
6132015
Lshtc: A benchmark for large-scale text classification
I Partalas, A Kosmopoulos, N Baskiotis, T Artieres, G Paliouras, ...
arXiv preprint arXiv:1503.08581, 2015
1792015
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
1532013
An ensemble pruning primer
G Tsoumakas, I Partalas, I Vlahavas
Applications of supervised and unsupervised ensemble methods, 1-13, 2009
1522009
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
I Partalas, G Tsoumakas, I Vlahavas
Machine Learning 81, 257-282, 2010
1232010
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection.
I Partalas, G Tsoumakas, IP Vlahavas
ECAI, 117-121, 2008
1082008
Pruning an ensemble of classifiers via reinforcement learning
I Partalas, G Tsoumakas, I Vlahavas
Neurocomputing 72 (7-9), 1900-1909, 2009
1072009
A taxonomy and short review of ensemble selection
G Tsoumakas, I Partalas, I Vlahavas
Workshop on Supervised and Unsupervised Ensemble Methods and Their …, 2008
992008
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
852013
Transfer Learning in Multi-agent Reinforcement Learning Domains
G Boutsioukis, I Partalas, I Vlahavas
682012
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
672008
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
612006
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
342014
Transferring task models in reinforcement learning agents
A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas
Neurocomputing 107, 23-32, 2013
342013
A study on greedy algorithms for ensemble pruning
I Partalas, G Tsoumakas, I Vlahavas
Aristotle University of Thessaloniki, Thessaloniki, Greece, 2012
342012
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
342006
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
332016
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
312015
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
262014
Results of the First BioASQ Workshop
I Partalas, E Gaussier, ACN Ngomo
262013
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20