Tsoumakas, Grigorios

24 publications

AAAI 2025 Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas

ECML-PKDD 2025 Enhancing Detection of Leishmania Spp. Amastigotes in Canine Lymph Node Smear Images: Evaluating the Effectiveness of Synthetic Data in Augmenting Existing Datasets Dimitrios Tsikos, Irene Chatzipanagiotidou, Dimitris Dimitriadis, Constantina N. Tsokana, George Valiakos, Labrini V. Athanasiou, Grigorios Tsoumakas

ECML-PKDD 2025 TIDS: A Thermal Imaging Dataset for Subclinical Mastitis in Dairy Sheep Georgios Botsoglou, Marios Lysitsas, Dimitris Dimitriadis, Constantina N. Tsokana, George Valiakos, Grigorios Tsoumakas

ECML-PKDD 2024 Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples Ao Zhou, Bin Liu, Zhaoyang Peng, Jin Wang, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

IJCAI 2021 VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

ECML-PKDD 2019 Synthetic Oversampling of Multi-Label Data Based on Local Label Distribution Bin Liu, Grigorios Tsoumakas

IJCAI 2018 Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas

ACML 2018 Making Classifier Chains Resilient to Class Imbalance Bin Liu, Grigorios Tsoumakas

JMLR 2017 Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas

MLJ 2016 Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, William Groves, Ioannis P. Vlahavas

ECML-PKDD 2014 Branty: A Social Media Ranking Tool for Brands Alexandros Arvanitidis, Anna Serafi, Athena Vakali, Grigorios Tsoumakas

ECML-PKDD 2014 Multi-Target Regression via Random Linear Target Combinations Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas

MLJ 2012 Introduction to the Special Issue on Learning from Multi-Label Data Grigorios Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou

IJCAI 2011 Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification Eleftherios Spyromitros Xioufis, Myra Spiliopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas

MLOSS 2011 MULAN: A Java Library for Multi-Label Learning Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Jozef Vilcek, Ioannis Vlahavas

ECML-PKDD 2011 On the Stratification of Multi-Label Data Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas

MLJ 2010 An Ensemble Uncertainty Aware Measure for Directed Hill Climbing Ensemble Pruning Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas

ECML-PKDD 2004 Effective Voting of Heterogeneous Classifiers Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas