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ORCIDKonstantinos Pliakos
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2020 – today
- 2023
[j13]Klest Dedja
, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens:
BELLATREX: Building Explanations Through a LocaLly AccuraTe Rule EXtractor. IEEE Access 11: 41348-41367 (2023)- [i5]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
HypeRS: Building a Hypergraph-driven ensemble Recommender System. CoRR abs/2306.12800 (2023) - 2022
- [j12]Alireza Gharahighehi, Konstantinos Pliakos, Celine Vens:
Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction. IEEE Access 10: 117189-117198 (2022) - [j11]Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas:
Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery. Appl. Intell. 52(4): 3705-3727 (2022) - [j10]Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens:
Deep tree-ensembles for multi-output prediction. Pattern Recognit. 121: 108211 (2022) - [i4]Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens:
Explaining random forest prediction through diverse rulesets. CoRR abs/2203.15511 (2022) - 2021
- [j9]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
Fair multi-stakeholder news recommender system with hypergraph ranking. Inf. Process. Manag. 58(5): 102663 (2021) - [j8]Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas:
Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1596-1607 (2021) - [c13]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
An Ensemble Hypergraph Learning Framework for Recommendation. DS 2021: 295-304 - [c12]Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens:
Explaining a Random Survival Forest by Extracting Prototype Rules. PKDD/ECML Workshops (2) 2021: 451-458 - 2020
- [j7]Konstantinos Pliakos, Celine Vens:
Drug-target interaction prediction with tree-ensemble learning and output space reconstruction. BMC Bioinform. 21(1): 49 (2020) - [c11]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
Multi-stakeholder News Recommendation Using Hypergraph Learning. PKDD/ECML Workshops 2020: 531-535 - [i3]Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens:
Deep tree-ensembles for multi-output prediction. CoRR abs/2011.02829 (2020) - [i2]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking. CoRR abs/2012.00387 (2020) - [i1]Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas:
Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery. CoRR abs/2012.12325 (2020)
2010 – 2019
- 2019
- [j6]Konstantinos Pliakos, Celine Vens:
Network inference with ensembles of bi-clustering trees. BMC Bioinform. 20(1): 525:1-525:12 (2019) - [j5]Konstantinos Pliakos, Seang-Hwane Joo, Jung Yeon Park, Frederik Cornillie, Celine Vens, Wim van den Noortgate:
Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems. Comput. Educ. 137: 91-103 (2019) - 2018
- [j4]Konstantinos Pliakos, Celine Vens:
Mining features for biomedical data using clustering tree ensembles. J. Biomed. Informatics 85: 40-48 (2018) - [j3]Konstantinos Pliakos, Celine Vens:
Network representation with clustering tree features. J. Intell. Inf. Syst. 51(2): 341-365 (2018) - [j2]Konstantinos Pliakos, Pierre Geurts, Celine Vens:
Global multi-output decision trees for interaction prediction. Mach. Learn. 107(8-10): 1257-1281 (2018) - 2016
- [c10]Aikaterini Chasapi, Constantine Kotropoulos, Konstantinos Pliakos:
Adaptive algorithms for hypergraph learning. ICASSP 2016: 1179-1183 - [c9]Konstantinos Pliakos, Celine Vens:
Feature Induction and Network Mining with Clustering Tree Ensembles. NFMCP@PKDD/ECML 2016: 3-18 - 2015
- [j1]Konstantinos Pliakos, Constantine Kotropoulos:
Building an Image Annotation and Tourism Recommender System. Int. J. Artif. Intell. Tools 24(5): 1540021:1-1540021:23 (2015) - [c8]Konstantinos Pliakos, Constantine Kotropoulos:
Weight estimation in hypergraph learning. ICASSP 2015: 1161-1165 - [c7]Panagiotis Barmpoutis, Constantine Kotropoulos, Konstantinos Pliakos:
Image tag recommendation based on novel tensor structures and their decompositions. ISPA 2015: 7-12 - 2014
- [c6]Konstantinos Pliakos, Constantine Kotropoulos:
Simultaneous image tagging and geo-location prediction within hypergraph ranking framework. ICASSP 2014: 6894-6898 - [c5]Konstantinos Pliakos, Constantine Kotropoulos:
PLSA driven image annotation, classification, and tourism recommendation. ICIP 2014: 3003-3007 - [c4]Konstantinos Pliakos, Constantine Kotropoulos:
Personalized and geo-referenced image recommendation using unified hypergraph learning and group sparsity optimization. ISCCSP 2014: 306-309 - [c3]Konstantinos Pliakos, Constantine Kotropoulos:
Personalized music tagging using ranking on hypergraphs. ISCCSP 2014: 628-631 - [c2]Konstantinos Pliakos, Constantine Kotropoulos:
Social image search exploiting joint visual-textual information within a fuzzy hypergraph framework. MMSP 2014: 1-5 - [c1]Konstantinos Pliakos, Constantine Kotropoulos:
Simultaneous Image Clustering, Classification and Annotation for Tourism Recommendation. SETN 2014: 630-640
Coauthor Index
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