Konstantinos Pliakos

809 citations

21 papers · 290 indexed · h-index 9

Computer Science Applications top 5%
Computational Theory and Mathematics top 5%
- Computational Drug Discovery Methods 4
Computational Mathematics
Artificial Intelligence top 10%
- Machine Learning and Data Classification 3
- Text and Document Classification Technologies 3
Computer Vision and Pattern Recognition
- Image Retrieval and Classification Techniques 8
- Advanced Image and Video Retrieval Techniques 7
- Multimodal Machine Learning Applications 3
Molecular Biology
- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 3

Co-authors: Celine Vens Constantine Kotropoulos Grigorios Tsoumakas Wim Van Den Noortgate Frederik Cornillie Seang‐Hwane Joo Jung Yeon Park Pierre Geurts
Cited by: Computer Science Applications Computational Theory and Mathematics Computational Mathematics
Journals: IEEE Access (2 papers)Computers & Education (1 paper)BMC Bioinformatics (2 papers)
Partner nations: Belgium Greece Myanmar

In The Last Decade

Konstantinos Pliakos

20 papers receiving 278 citations

Peers

Countries citing papers authored by Konstantinos Pliakos

Since Specialization

Citations

This map shows the geographic impact of Konstantinos Pliakos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Konstantinos Pliakos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantinos Pliakos more than expected).

Fields of papers citing papers by Konstantinos Pliakos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Konstantinos Pliakos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Konstantinos Pliakos. The network helps show where Konstantinos Pliakos may publish in the future.

Co-authorship network

The 10 scholars most cited alongside Konstantinos Pliakos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Konstantinos Pliakos Line = papers co-authored together Konstantinos Pliakos links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	BELLATREX: Building Explanations Through a LocaLly AccuraTe Rule EXtractor IEEE Access ·Klest Dedja,Felipe Kenji Nakano,Konstantinos Pliakos,Celine Vens	2023	4
2	Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction IEEE Access ·Alireza Gharahighehi,Konstantinos Pliakos,Celine Vens	2022	2
3	Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessments Behavior Research Methods ·Jung Yeon Park,Klest Dedja,Konstantinos Pliakos,Jinho Kim,Seang‐Hwane Joo,Frederik Cornillie,Celine Vens,Wim Van Den Noortgate	2022	5
4	Recommender Systems in the Real Estate Market—A Survey Applied Sciences ·Alireza Gharahighehi,Konstantinos Pliakos,Celine Vens	2021	9
5	Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery Applied Intelligence ·Bin Liu,Konstantinos Pliakos,Celine Vens,Grigorios Tsoumakas	2021	18
6	Drug-target interaction prediction with tree-ensemble learning and output space reconstruction BMC Bioinformatics ·Konstantinos Pliakos,Celine Vens	2020	56
7	Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Konstantinos Pliakos,Celine Vens,Grigorios Tsoumakas	2019	33
8	Network inference with ensembles of bi-clustering trees BMC Bioinformatics ·Konstantinos Pliakos,Celine Vens	2019	12
9	Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems Computers & Education ·Konstantinos Pliakos,Seang‐Hwane Joo,Jung Yeon Park,Frederik Cornillie,Celine Vens,Wim Van Den Noortgate	2019	82
10	Global multi-output decision trees for interaction prediction Machine Learning ·Konstantinos Pliakos,Pierre Geurts,Celine Vens	2018	14
11	Mining features for biomedical data using clustering tree ensembles Journal of Biomedical Informatics ·Konstantinos Pliakos,Celine Vens	2018	9
12	Network representation with clustering tree features Journal of Intelligent Information Systems ·Konstantinos Pliakos,Celine Vens	2018	2
13	Building an Image Annotation and Tourism Recommender System International Journal of Artificial Intelligence Tools ·Konstantinos Pliakos,Constantine Kotropoulos	2015	7
14	Image tag recommendation based on novel tensor structures and their decompositions Panagiotis Barmpoutis,Constantine Kotropoulos,Konstantinos Pliakos	2015	4
15	Weight estimation in hypergraph learning Konstantinos Pliakos,Constantine Kotropoulos	2015	4
16	Personalized music tagging using ranking on hypergraphs Konstantinos Pliakos,Constantine Kotropoulos	2014	0
17	Personalized and geo-referenced image recommendation using unified hypergraph learning and group sparsity optimization Konstantinos Pliakos,Constantine Kotropoulos	2014	6
18	Simultaneous image tagging and geo-location prediction within hypergraph ranking framework Konstantinos Pliakos,Constantine Kotropoulos	2014	13
19	Social image search exploiting joint visual-textual information within a fuzzy hypergraph framework Konstantinos Pliakos,Constantine Kotropoulos	2014	1
20	PLSA driven image annotation, classification, and tourism recommendation Konstantinos Pliakos,Constantine Kotropoulos	2014	6

About Konstantinos Pliakos

Konstantinos Pliakos is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 21 papers that have together received 290 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (3 papers), Machine Learning and Data Classification (3 papers), Multimodal Machine Learning Applications (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Computer Science Applications (54 citations), Computational Theory and Mathematics (111 citations) and Computational Mathematics (3 citations). Konstantinos Pliakos has collaborated with scholars based in Belgium, Greece and Myanmar. Frequent co-authors include Celine Vens, Constantine Kotropoulos, Grigorios Tsoumakas, Wim Van Den Noortgate, Frederik Cornillie, Seang‐Hwane Joo, Jung Yeon Park, Pierre Geurts, Bin Liu and Panagiotis Barmpoutis. Their work appears in journals such as IEEE Access, Computers & Education and BMC Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact