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Ioannis P. Vlahavas

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Ioannis Partalas

> Home > Persons > Ioannis P. Vlahavas

Publications

2015
[j71]
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  - journals/adb/FachantidisPTV15
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Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Transfer learning with probabilistic mapping selection. Adapt. Behav. 23(1): 3-19 (2015)
2014
[c75]
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  - conf/setn/FachantidisPTV14
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Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
An Autonomous Transfer Learning Algorithm for TD-Learners. SETN 2014: 57-70
2013
[j60]
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  - journals/ijon/FachantidisPTV13
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Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Transferring task models in Reinforcement Learning agents. Neurocomputing 107: 23-32 (2013)
[c73]
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  - conf/aaaiss/FachantidisPTV13
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Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract). AAAI Spring Symposium: Lifelong Machine Learning 2013
2011
[c65]
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  - conf/ewrl/ChatzidimitriouPMV11
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Kyriakos C. Chatzidimitriou, Ioannis Partalas, Pericles A. Mitkas, Ioannis P. Vlahavas:
Transferring Evolved Reservoir Features in Reinforcement Learning Tasks. EWRL 2011: 213-224
[c64]
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  - conf/ewrl/FachantidisPTV11
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Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Transfer Learning via Multiple Inter-task Mappings. EWRL 2011: 225-236
[c63]
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  - conf/ewrl/BoutsioukisPV11
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Georgios Boutsioukis, Ioannis Partalas, Ioannis P. Vlahavas:
Transfer Learning in Multi-Agent Reinforcement Learning Domains. EWRL 2011: 249-260
[c61]
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  - conf/ifip12/FachantidisPTV11
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Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Transferring Models in Hybrid Reinforcement Learning Agents. EANN/AIAI (1) 2011: 162-171
2010
[j50]
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  - journals/ml/PartalasTV10
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Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. Mach. Learn. 81(3): 257-282 (2010)
2009
[j48]
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  - journals/ijon/PartalasTV09
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Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Pruning an ensemble of classifiers via reinforcement learning. Neurocomputing 72(7-9): 1900-1909 (2009)
[c51]
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  - conf/atal/PartalasTTV09
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Ioannis Partalas, Grigorios Tsoumakas, Konstantinos Tzevanidis, Ioannis P. Vlahavas:
Transferring experience in reinforcement learning through task decomposition. AAMAS (2) 2009: 1193-1194
[p2]
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  - series/sci/TsoumakasPV09
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Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas:
An Ensemble Pruning Primer. Applications of Supervised and Unsupervised Ensemble Methods 2009: 1-13
2008
[j44]
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  - journals/ijait/PartalasFV08
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Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlahavas:
A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion. Int. J. Artif. Intell. Tools 17(5): 945-962 (2008)
[j43]
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  - journals/isci/PartalasTHV08
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Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V. Hatzikos, Ioannis P. Vlahavas:
Greedy regression ensemble selection: Theory and an application to water quality prediction. Inf. Sci. 178(20): 3867-3879 (2008)
[c46]
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  - conf/ecai/PartalasTV08
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Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. ECAI 2008: 117-121
[c45]
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  - conf/ecai/PartalasPV08
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Ioannis Partalas, Georgios Paliouras, Ioannis P. Vlahavas:
Reinforcement Learning with Classifier Selection for Focused Crawling. ECAI 2008: 759-760
2007
[c36]
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  - conf/ictai/PartalasFV07
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Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlahavas:
Multi-agent Reinforcement Learning Using Strategies and Voting. ICTAI (2) 2007: 318-324
2006
[c32]
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  - conf/setn/PartalasTKV06
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Ioannis Partalas, Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas:
Ensemble Pruning Using Reinforcement Learning. SETN 2006: 301-310

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