Konstantinos Pliakos
TitleCited byYear
Making sense of big data in health research: towards an EU action plan
C Auffray, R Balling, I Barroso, L Bencze, M Benson, J Bergeron, ...
Genome medicine 8 (1), 118, 2016
1362016
Simultaneous image tagging and geo-location prediction within hypergraph ranking framework
K Pliakos, C Kotropoulos
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
162014
Personalized and geo-referenced image recommendation using unified hypergraph learning and group sparsity optimization
K Pliakos, C Kotropoulos
2014 6th International Symposium on Communications, Control and Signal …, 2014
72014
PLSA DRIVEN IMAGE ANNOTATION, CLASSIFICATION, AND TOURISM RECOMMENDATION
K Pliakos, C Kotropoulos
Image Processing (ICIP), 2014 IEEE International Conference on, 3003-3007, 2014
72014
Mining features for biomedical data using clustering tree ensembles
K Pliakos, C Vens
Journal of biomedical informatics 85, 40-48, 2018
62018
Global Multi-output Decision Trees for Interaction Prediction
K Pliakos, P Geurts, C Vens
Machine Learning, 2018
52018
Weight estimation in hypergraph learning
K Pliakos, C Kotropoulos
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
52015
Feature Induction and Network Mining with Clustering Tree Ensembles
K Pliakos, C Vens
Lecture Notes in Computer Science 10312, 3-18, 2017
42017
Image tag recommendation based on novel tensor structures and their decompositions
P Barmpoutis, C Kotropoulos, K Pliakos
2015 9th International Symposium on Image and Signal Processing and Analysis …, 2015
42015
Simultaneous image clustering, classification and annotation for tourism recommendation
K Pliakos, C Kotropoulos
Hellenic Conference on Artificial Intelligence, 630-640, 2014
42014
Adaptive algorithms for hypergraph learning
A Chasapi, C Kotropoulos, K Pliakos
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
32016
Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems
K Pliakos, SH Joo, JY Park, F Cornillie, C Vens, W Van den Noortgate
Computers & Education 137, 91-103, 2019
22019
Network representation with clustering tree features
K Pliakos, C Vens
Journal of Intelligent Information Systems 51 (2), 341-365, 2018
22018
Feature Induction based on Extremely Randomized Tree Paths
K Pliakos, C Vens
New Frontiers in Mining Complex Patterns, 2016
22016
Tree based feature induction for biomedical data
K Pliakos, C Vens
Machine Learning in Systems Biology (MLSB), The Hague, 2016
22016
Building an image annotation and tourism recommender system
K Pliakos, C Kotropoulos
International Journal on Artificial Intelligence Tools 24 (05), 1540021, 2015
22015
Representational power of gene features for function prediction
K Pliakos, I Triguero, D Kocev, C Vens
Benelux Bioinformatics Conference 2015 (BBC 2015), Date: 2015/12/07-2015/12 …, 2015
12015
Personalized music tagging using ranking on hypergraphs
K Pliakos, C Kotropoulos
2014 6th International Symposium on Communications, Control and Signal …, 2014
12014
Predicting drug-target interactions with multi-label classification and label partitioning
K Pliakos, C Vens, G Tsoumakas
IEEE/ACM transactions on computational biology and bioinformatics, 2019
2019
Mining biomedical networks exploiting structure and background information
K Pliakos
2019
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Articles 1–20