World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
17007
World Ranking
5755
National Ranking
32

Research.com Recognitions

  • 2017 - ACM Senior Member

Overview

Grigorios Tsoumakas is affiliated with Aristotle University of Thessaloniki in Greece. Their research primarily focuses on the field of Computer Science, with extensive contributions to Artificial Intelligence. Additionally, their work intersects with subfields such as Molecular Biology, Information Systems, Computational Theory and Mathematics, and Materials Chemistry.

The scientist's main research topics cover a range of advanced computational techniques and applications, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text and Document Classification Technologies
  • Advanced Text Analysis Techniques
  • Explainable Artificial Intelligence (XAI)
  • Biomedical Text Mining and Ontologies
  • Machine Learning and Data Classification

Their publication record includes a mix of journal articles, conference papers, and book chapters. They have been featured in venues such as:

  • arXiv (Cornell University)
  • Applied Intelligence
  • Communications in Computer and Information Science
  • SSRN Electronic Journal
  • Data Mining and Knowledge Discovery

Recent papers include:

  • "ETHOS: a multi-label hate speech detection dataset" (2022), published in Complex & Intelligent Systems
  • "Multi-label sampling based on local label imbalance" (2021), published in Pattern Recognition
  • "ETHOS: an Online Hate Speech Detection Dataset" (2020), published on arXiv (Cornell University)
  • "Improving Distantly-Supervised Relation Extraction Through BERT-Based Label and Instance Embeddings" (2021), published in IEEE Access
  • "Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery" (2021), published in Applied Intelligence

Grigorios Tsoumakas has contributed to several book publications under Springer Science+Business Media, including multiple editions of "Machine Learning and Knowledge Discovery in Databases" in 2023 and "Discovery Science" in 2020.

The scientist frequently collaborates with a set of coauthors, including:

  • Ioannis Mollas
  • Bin Liu
  • Nikolaos Mylonas
  • Nick Bassiliades
  • Anastasios Nentidis

Grigorios Tsoumakas was recognized as an ACM Senior Member in 2017.

Best Publications

  • Multi-label classification: An overview

    Grigorios Tsoumakas;Ioannis Katakis

  • Mining Multi-label Data

    Grigorios Tsoumakas;Ioannis Katakis;Ioannis P. Vlahavas

  • Random k-Labelsets: An Ensemble Method for Multilabel Classification

    Grigorios Tsoumakas;Ioannis Vlahavas

  • Random k-Labelsets for Multilabel Classification

    G. Tsoumakas;I. Katakis;I. Vlahavas

  • MULTI-LABEL CLASSIFICATION OF MUSIC INTO EMOTIONS

    Konstantinos Trohidis;Grigorios Tsoumakas;George Kalliris;Ioannis P. Vlahavas

  • MULAN: A Java Library for Multi-Label Learning

    Grigorios Tsoumakas;Eleftherios Spyromitros-Xioufis;Jozef Vilcek;Ioannis Vlahavas

  • On the stratification of multi-label data

    Konstantinos Sechidis;Grigorios Tsoumakas;Ioannis Vlahavas

  • Multilabel Text Classification for Automated Tag Suggestion

    I. Katakis;I. Vlahavas;G. Tsoumakas

  • Multi-target regression via input space expansion: treating targets as inputs

    Eleftherios Spyromitros-Xioufis;Grigorios Tsoumakas;William Groves;Ioannis Vlahavas

  • An Empirical Study of Lazy Multilabel Classification Algorithms

    E. Spyromitros;G. Tsoumakas;Ioannis Vlahavas

  • Protein classification with multiple algorithms

    Sotiris Diplaris;Grigorios Tsoumakas;Pericles A. Mitkas;Ioannis Vlahavas

  • Tracking recurring contexts using ensemble classifiers: an application to email filtering

    Ioannis Katakis;Grigorios Tsoumakas;Ioannis Vlahavas

  • On the utility of incremental feature selection for the classification of textual data streams

    Ioannis Katakis;Grigorios Tsoumakas;Ioannis Vlahavas

  • Correlation-Based Pruning of Stacked Binary Relevance Models for Multi-Label Learning

    Grigorios Tsoumakas;Anastasios Dimou;Eleftherios Spyromitros;Vasileios Mezaris

  • A review of keyphrase extraction

    Eirini Papagiannopoulou;Grigorios Tsoumakas

  • An Ensemble Pruning Primer

    Grigorios Tsoumakas;Ioannis Partalas;Ioannis P. Vlahavas

  • A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval

    Eleftherios Spyromitros-Xioufis;Symeon Papadopoulos;Ioannis Yiannis Kompatsiaris;Grigorios Tsoumakas

  • The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment

    Forrest Briggs;Yonghong Huang;Raviv Raich;Konstantinos Eftaxias

  • Selective fusion of heterogeneous classifiers

    Grigorios Tsoumakas;Lefteris Angelis;Ioannis Vlahavas

  • Clustering based multi-label classification for image annotation and retrieval

    Gulisong Nasierding;Grigorios Tsoumakas;Abbas Z. Kouzani

  • Dealing with class imbalance in classifier chains via random undersampling

    Bin Liu;Grigorios Tsoumakas

Frequent Co-Authors

Ioannis Vlahavas
Ioannis Vlahavas Aristotle University of Thessaloniki
Nick Bassiliades
Nick Bassiliades Aristotle University of Thessaloniki
Ioannis Kompatsiaris
Ioannis Kompatsiaris Information Technologies Institute, Greece
Georgios Paliouras
Georgios Paliouras National Centre of Scientific Research Demokritos
Lefteris Angelis
Lefteris Angelis Aristotle University of Thessaloniki
Abbas Z. Kouzani
Abbas Z. Kouzani Deakin University
Kostas Stamatopoulos
Kostas Stamatopoulos Centre for Research and Technology Hellas
Symeon Papadopoulos
Symeon Papadopoulos Information Technologies Institute, Greece
Ioannis Tsamardinos
Ioannis Tsamardinos University of Crete
Vasileios Mezaris
Vasileios Mezaris Centre for Research and Technology Hellas

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