دنبال کردن
Ioannis Partalas
Ioannis Partalas
Machine Learning Scientist, Expedia Group
ایمیل تأیید شده در expediagroup.com - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
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
6982015
Lshtc: A benchmark for large-scale text classification‏
I Partalas, A Kosmopoulos, N Baskiotis, T Artieres, G Paliouras, ...‏
arXiv preprint arXiv:1503.08581, 2015‏
2132015
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
2092013
An ensemble pruning primer‏
G Tsoumakas, I Partalas, I Vlahavas‏
Applications of supervised and unsupervised ensemble methods, 1-13, 2009‏
1862009
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning‏
I Partalas, G Tsoumakas, I Vlahavas‏
Machine Learning 81, 257-282, 2010‏
1422010
Focused ensemble selection: A diversity-based method for greedy ensemble selection‏
I Partalas, G Tsoumakas, I Vlahavas‏
ECAI 2008, 117-121, 2008‏
1182008
A taxonomy and short review of ensemble selection‏
G Tsoumakas, I Partalas, I Vlahavas‏
Workshop on Supervised and Unsupervised Ensemble Methods and Their …, 2008‏
1172008
Pruning an ensemble of classifiers via reinforcement learning‏
I Partalas, G Tsoumakas, I Vlahavas‏
Neurocomputing 72 (7-9), 1900-1909, 2009‏
1112009
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
972013
Transfer Learning in Multi-agent Reinforcement Learning Domains‏
G Boutsioukis, I Partalas, I Vlahavas‏
902012
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
842008
Ensemble pruning using reinforcement learning‏
I Partalas, G Tsoumakas, I Katakis, I Vlahavas‏
Hellenic Conference on Artificial Intelligence, 301-310, 2006‏
642006
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
542006
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
472015
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
412016
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
372014
Transferring task models in reinforcement learning agents‏
A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas‏
Neurocomputing 107, 23-32, 2013‏
362013
A study on greedy algorithms for ensemble pruning‏
I Partalas, G Tsoumakas, I Vlahavas‏
Aristotle University of Thessaloniki, Thessaloniki, Greece, 2012‏
352012
Evaluation framework specifications‏
G Balikas, I Partalas, A Kosmopoulos, S Petridis, P Malakasiotis, ...‏
Project deliverable D 4, 2013‏
322013
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
302015
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20