Grigorios Tsoumakas

Associate Professor

Aristoteleio Panepistemio Thessalonikes

Greece

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About

Grigorios Tsoumakas is an Associate Professor at Aristoteleio Panepistemio Thessalonikes in Greece. His research areas include controllable abstractive summarization, drug-target interaction prediction, and the analysis of clinical profiles in cardiovascular health. He has published extensively on topics such as weakly-supervised deep learning and subclinical mastitis in livestock, contributing valuable insights into the fields of data science and biomedical literature.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (4)

Iasonas Dermitzakis

Aristotle University of Thessaloniki

GREECE

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Dimitris Vrakas

Aristotle University of Thessaloniki

GREECE

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Grigorios Tsigkas

assistant professor

University of Patras School of Medicine

GREECE

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Nick Bassiliades

Professor

Aristotle University of Thessaloniki

GREECE

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Grigorios Tsoumakas

Research Interests

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About

Articles (16)

Clinical profiles and temporal trends of 37,741 cardiovascular hospitalizations in Greece over 12 years: initial insights from the CardioMining database

Controllable abstractive summarization with arbitrary textual context

Oversampling multi-label data based on natural neighbor and label correlation

Exploring local interpretability in dimensionality reduction: Analysis and use cases

Subclinical Mastitis in Lacaune Sheep: Etiologic Agents, the Effect on Milk Characteristics, and an Evaluation of Infrared Thermography and the YOLO Algorithm as a Preprocessing Tool for Advanced Analysis

Integrating Similarities via Local Interaction Consistency and Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction

LioNets: a neural-specific local interpretation technique exploiting penultimate layer information

Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature

Route Planning for Emergency Evacuation Using Graph Traversal Algorithms

On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues

Conclusive local interpretation rules for random forests

ETHOS: a multi-label hate speech detection dataset

Artificial fine-tuning tasks for yes/no question answering

Extracting Semantic Relationships in Greek Literary Texts

Semantic Indexing of 19th-Century Greek Literature Using 21st-Century Linguistic Resources

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

Collaborators (4)

Iasonas Dermitzakis

Dimitris Vrakas

Grigorios Tsigkas

Nick Bassiliades

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