Grigorios Tsoumakas

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 121

Top Venues

Publications

Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. CoRR (2024)
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification. Data Min. Knowl. Discov. 38 (1) (2024)
Tatiana Passali, Grigorios Tsoumakas
Topic-Controllable Summarization: Topic-Aware Evaluation and Transformer Methods. LREC/COLING (2024)
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Exploring local interpretability in dimensionality reduction: Analysis and use cases. Expert Syst. Appl. 252 (2024)
Alexios Gidiotis, Grigorios Tsoumakas
Bayesian active summarization. Comput. Speech Lang. 83 (2024)
Dimitris Dimitriadis, Grigorios Tsoumakas
Artificial fine-tuning tasks for yes/no question answering. Nat. Lang. Eng. 30 (1) (2024)
Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
Large-scale fine-grained semantic indexing of biomedical literature based on weakly-supervised deep learning. CoRR (2023)
Loukia Avramelou, Nikolaos Passalis, Grigorios Tsoumakas, Anastasios Tefas
Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. SSCI (2023)
Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature. J. Biomed. Informatics 146 (2023)
Georgios Kamtziridis, Dimitris Vrakas, Grigorios Tsoumakas
Does Noise Affect Housing Prices? A Case Study in the Urban Area of Thessaloniki. CoRR (2023)
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH. CBMS (2023)
Nikolaos Mylonas, Ioannis Mollas, Bin Liu, Yannis Manolopoulos, Grigorios Tsoumakas
On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues. IEEE Intell. Syst. 38 (2) (2023)
Dimitris Dimitriadis, Grigorios Tsoumakas
Enhancing yes/no question answering with weak supervision via extractive question answering. Appl. Intell. 53 (22) (2023)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Truthful meta-explanations for local interpretability of machine learning models. Appl. Intell. 53 (22) (2023)
Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. DSAA (2023)
Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Local Interpretability of Random Forests for Multi-Target Regression. CoRR (2023)
Tatiana Passali, Efstathios Chatzikyriakidis, Stelios Andreadis, Thanos G. Stavropoulos, Anastasia Matonaki, Anestis Fachantidis, Grigorios Tsoumakas
From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences. CoRR (2023)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
LioNets: a neural-specific local interpretation technique exploiting penultimate layer information. Appl. Intell. 53 (3) (2023)
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artif. Intell. Medicine 137 (2023)
Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas
Fine-grained selective similarity integration for drug-target interaction prediction. Briefings Bioinform. 24 (2) (2023)
Georgios Kamtziridis, Dimitris Vrakas, Grigorios Tsoumakas
Does noise affect housing prices? A case study in the urban area of Thessaloniki. EPJ Data Sci. 12 (1) (2023)
Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, Georgios Meditskos, Stefanos Vrochidis
LARD: Large-scale Artificial Disfluency Generation. LREC (2022)
Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas
Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery. Appl. Intell. 52 (4) (2022)
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Multi-label Explanations for Random Forest. PKDD/ECML Workshops (1) (2022)
Eleni Partalidou, Despina Christou, Grigorios Tsoumakas
Improving Zero-Shot Entity Retrieval through Effective Dense Representations. SETN (2022)
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Improving Attention-Based Interpretability of Text Classification Transformers. CoRR (2022)
Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
Multi-label sampling based on local label imbalance. Pattern Recognit. 122 (2022)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. SETN (2022)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models. CoRR (2022)
Tatiana Passali, Grigorios Tsoumakas
Topic-Aware Evaluation and Transformer Methods for Topic-Controllable Summarization. CoRR (2022)
Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Explanation of Dimensionality Reduction. SETN (2022)
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Multi-Label Explanations for Random Forest. CoRR (2022)
Alexios Gidiotis, Grigorios Tsoumakas
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue. ACL (Findings) (2022)
Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos
Multiple similarity drug-target interaction prediction with random walks and matrix factorization. Briefings Bioinform. 23 (5) (2022)
Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, George Meditskos, Stefanos Vrochidis
Artificial Disfluency Detection, Uh No, Disfluency Generation for the Masses. CoRR (2022)
Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization. CoRR (2022)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Conclusive local interpretation rules for random forests. Data Min. Knowl. Discov. 36 (4) (2022)
Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas
Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. SETN (2022)
Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Explanation of Dimensionality Reduction. CoRR (2022)
Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas
Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction. CoRR (2022)
T. Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, George Meditskos, Stefanos Vrochidis
LARD: Large-scale Artificial Disfluency Generation. CoRR (2022)
Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas
Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Despina Christou, Grigorios Tsoumakas
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings. CoRR (2021)
Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance. CoRR (2021)
Eleni Partalidou, Despina Christou, Grigorios Tsoumakas
Improving Zero-Shot Entity Retrieval through Effective Dense Representations. CoRR (2021)
Argyrios Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. DEXA Workshops (2021)
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. AIME (2021)
Argyrios Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles. CoRR (2021)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Conclusive Local Interpretation Rules for Random Forests. CoRR (2021)
Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. Pattern Recognit. Lett. 151 (2021)
Alexios Gidiotis, Grigorios Tsoumakas
Bayesian Active Summarization. CoRR (2021)
Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance. IJCAI (2021)
Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
Harvesting the Public MeSH Note field. CoRR (2021)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information. CoRR (2021)
Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
What is all this new MeSH about? Int. J. Digit. Libr. 22 (4) (2021)
Despina Christou, Grigorios Tsoumakas
Improving Distantly-Supervised Relation Extraction Through BERT-Based Label and Instance Embeddings. IEEE Access 9 (2021)
Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus. CoRR (2021)
Bin Liu, Grigorios Tsoumakas
Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction. CoRR (2021)
Alexios Gidiotis, Grigorios Tsoumakas
Uncertainty-Aware Abstractive Summarization. CoRR (2021)
Athanasios Lagopoulos, Grigorios Tsoumakas
Self-citation Analysis using Sentence Embeddings. CoRR (2021)
Eirini Papagiannopoulou, Grigorios Tsoumakas, Apostolos N. Papadopoulos
Keywords lie far from the mean of all words in local vector space. CoRR (2020)
Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
Multi-Label Sampling based on Local Label Imbalance. CoRR (2020)
Alexios Gidiotis, Stefanos Stefanidis, Grigorios Tsoumakas
AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20. SDP@EMNLP (2020)
Athanasios Lagopoulos, Grigorios Tsoumakas
Content-aware web robot detection. Appl. Intell. 50 (11) (2020)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. CoRR (2020)
Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas
LionForests: local interpretation of random forests. NeHuAI@ECAI (2020)
Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
ETHOS: an Online Hate Speech Detection Dataset. CoRR (2020)
Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision. CoRR (2020)
Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
Beyond MeSH: Fine-grained semantic indexing of biomedical literature based on weak supervision. Inf. Process. Manag. 57 (5) (2020)
Bin Liu, Grigorios Tsoumakas
Dealing with class imbalance in classifier chains via random undersampling. Knowl. Based Syst. 192 (2020)
Eirini Papagiannopoulou, Grigorios Tsoumakas
A review of keyphrase extraction. WIREs Data Mining Knowl. Discov. 10 (2) (2020)
Alexios Gidiotis, Grigorios Tsoumakas
A Divide-and-Conquer Approach to the Summarization of Long Documents. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Athanasios Lagopoulos, Grigorios Tsoumakas
From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews. CoRR (2020)
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. SETN (2020)
Alexios Gidiotis, Grigorios Tsoumakas
A Divide-and-Conquer Approach to the Summarization of Academic Articles. CoRR (2020)
Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas
Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery. CoRR (2020)
Vasileios Barzokas, Eirini Papagiannopoulou, Grigorios Tsoumakas
Studying the Evolution of Greek Words via Word Embeddings. SETN (2020)
Dimitris Dimitriadis, Grigorios Tsoumakas
Word embeddings and external resources for answer processing in biomedical factoid question answering. J. Biomed. Informatics 92 (2019)
Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard
Multi-label active learning: key issues and a novel query strategy. Evol. Syst. 10 (1) (2019)
Ioannis Mollas, Grigorios Tsoumakas, Nick Bassiliades
LionForests: Local Interpretation of Random Forests through Path Selection. CoRR (2019)
Athanasios Lagopoulos, Nikolaos Kapraras, Vasileios Amanatiadis, Anestis Fachantidis, Grigorios Tsoumakas
Classifying Biomedical Figures by Modality via Multi-Label Learning. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Grigorios Tsoumakas
A survey of machine learning techniques for food sales prediction. Artif. Intell. Rev. 52 (1) (2019)
Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas
LioNets: Local Interpretation of Neural Networks Through Penultimate Layer Decoding. PKDD/ECML Workshops (1) (2019)
Bin Liu, Grigorios Tsoumakas
Synthetic Oversampling of Multi-Label Data based on Local Label Distribution. CoRR (2019)
Alexios Gidiotis, Grigorios Tsoumakas
Structured Summarization of Academic Publications. PKDD/ECML Workshops (2) (2019)
Dimitris Dimitriadis, Grigorios Tsoumakas
Yes/No Question Answering in BioASQ 2019. PKDD/ECML Workshops (2) (2019)
Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas
LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding. CoRR (2019)
Eirini Papagiannopoulou, Grigorios Tsoumakas
Unsupervised Keyphrase Extraction from Scientific Publications. CICLing (1) (2019)
Eirini Papagiannopoulou, Grigorios Tsoumakas
A Review of Keyphrase Extraction. CoRR (2019)
Bin Liu, Grigorios Tsoumakas
Synthetic Oversampling of Multi-label Data Based on Local Label Distribution. ECML/PKDD (2) (2019)
Alexios Gidiotis, Grigorios Tsoumakas
Structured Summarization of Academic Publications. CoRR (2019)
Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature Based on Weak Supervision. CBMS (2019)
Athanasios Lagopoulos, Grigorios Tsoumakas, Georgios Papadopoulos
Web Robot Detection: A Semantic Approach. ICTAI (2018)
Bin Liu, Grigorios Tsoumakas
Making Classifier Chains Resilient to Class Imbalance. CoRR (2018)
Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis Katakis
Hierarchical partitioning of the output space in multi-label data. Data Knowl. Eng. 116 (2018)
Christos Samarinas, Grigorios Tsoumakas
WAMBy: An information retrieval approach to web-based question answering. SETN (2018)
Eirini Papagiannopoulou, Grigorios Tsoumakas
Unsupervised Keyphrase Extraction Based on Outlier Detection. CoRR (2018)
Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas
Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech. IJCAI (2018)
Athanasios Lagopoulos, Antonios Anagnostou, Adamantios Minas, Grigorios Tsoumakas
Learning-to-Rank and Relevance Feedback for Literature Appraisal in Empirical Medicine. CLEF (2018)
Adamantios Minas, Athanasios Lagopoulos, Grigorios Tsoumakas
Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab. CLEF (Working Notes) (2018)

Grigorios Tsoumakas.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Grigorios Tsoumakas