Konstantinos Pliakos

Constantine Kotropoulos, Konstantinos Pliakos, Panagiotis Barmpoutis, 2015, 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA).

Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems

Konstantinos Pliakos, Seang-Hwane Joo, Jung Yeon Park, 2019, Comput. Educ..

Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning

Grigorios Tsoumakas, Konstantinos Pliakos, Celine Vens, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Building an Image Annotation and Tourism Recommender System

Constantine Kotropoulos, Konstantinos Pliakos, Constantine Kotropoulos, 2015, Int. J. Artif. Intell. Tools.

Fair Multi-Stakeholder News Recommender System with Hypergraph ranking pdf

Konstantinos Pliakos, Celine Vens, Alireza Gharahighehi, 2020, Inf. Process. Manag..

HypeRS: Building a Hypergraph-driven ensemble Recommender System

C. Vens, Konstantinos Pliakos, Alireza Gharahighehi, 2023, ArXiv.

Recommender Systems in the Real Estate Market—A Survey

C. Vens, Konstantinos Pliakos, Alireza Gharahighehi, 2021, Applied Sciences.

Multi-stakeholder News Recommendation Using Hypergraph Learning

C. Vens, Konstantinos Pliakos, Alireza Gharahighehi, 2020, PKDD/ECML Workshops.

Simultaneous image tagging and geo-location prediction within hypergraph ranking framework

Constantine Kotropoulos, Konstantinos Pliakos, Constantine Kotropoulos, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Ensemble Hypergraph Learning Framework for Recommendation

Konstantinos Pliakos, Celine Vens, Alireza Gharahighehi, 2021, DS.

Drug-target interaction prediction with tree-ensemble learning and output space reconstruction

Konstantinos Pliakos, Celine Vens, C. Vens, 2020, BMC Bioinformatics.

Making sense of big data in health research: Towards an EU action plan

Sophie H. Janacek, Josep Redón i Màs, John Peter Mary Wubbe, 2016, Genome Medicine.

Network inference with ensembles of bi-clustering trees

Konstantinos Pliakos, Celine Vens, C. Vens, 2019, BMC Bioinformatics.

Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction

C. Vens, Konstantinos Pliakos, Alireza Gharahighehi, 2022, IEEE Access.

Explaining random forest predictions through diverse rules

C. Vens, Konstantinos Pliakos, Klest Dedja, 2022 .