Effective Stacking of Distributed Classifiers. - Grigorios Tsoumakas; Ioannis P. Vlahavas (ECAI, 2002)

Learning Rules for Adaptive Planning. - Dimitris Vrakas; Grigorios Tsoumakas; Nick Bassiliades; Ioannis P. Vlahavas (ICAPS, 2003)

Lazy Adaptive Multicriteria Planning. - Grigorios Tsoumakas; Dimitris Vrakas; Nick Bassiliades; Ioannis P. Vlahavas (ECAI, 2004)

Effective Voting of Heterogeneous Classifiers. - Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (ECML, 2004)

Using the k-Nearest Problems for Adaptive Multicriteria Planning. - Grigorios Tsoumakas; Dimitris Vrakas; Nick Bassiliades; Ioannis P. Vlahavas (SETN, 2004)

Clustering classifiers for knowledge discovery from physically distributed databases. - Grigorios Tsoumakas; Lefteris Angelis; Ioannis P. Vlahavas (Data Knowl. Eng., 2004)

Protein Classification with Multiple Algorithms. - Sotiris Diplaris; Grigorios Tsoumakas; Pericles A. Mitkas; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2005)

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams. - Ioannis Katakis 001; Grigorios Tsoumakas; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2005)

HAPRC: an automatically configurable planning system. - Dimitris Vrakas; Grigorios Tsoumakas; Nick Bassiliades; Ioannis P. Vlahavas (AI Commun., 2005)

Selective fusion of heterogeneous classifiers. - Grigorios Tsoumakas; Lefteris Angelis; Ioannis P. Vlahavas (Intell. Data Anal., 2005)

Μηχανική μάθηση για το συγκερασμό πολλαπλών, κατανεμημένων ευφυών συστημάτων - Grigorios Tsoumakas (2005)

Software Defect Prediction Using Regression via Classification. - Stamatia Bibi; Grigorios Tsoumakas; Ioannis Stamelos; Ioannis P. Vlahavas (AICCSA, 2006)

PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering. - Evangelos Banos; Ioannis Katakis 001; Nick Bassiliades; Grigorios Tsoumakas; Ioannis P. Vlahavas (OTM Conferences (1), 2006)

Ensemble Pruning Using Reinforcement Learning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (SETN, 2006)

Random k -Labelsets: An Ensemble Method for Multilabel Classification. - Grigorios Tsoumakas; Ioannis P. Vlahavas (ECML, 2007)

An interoperable and scalable Web-based system for classifier sharing and fusion. - Grigorios Tsoumakas; Ioannis P. Vlahavas (Expert Syst. Appl., 2007)

Multi-Label Classification: An Overview. - Grigorios Tsoumakas; Ioannis Katakis 001 (Int. J. Data Warehous. Min., 2007)

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams. - Ioannis Katakis 001; Grigorios Tsoumakas; Ioannis P. Vlahavas (ECAI, 2008)

Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (ECAI, 2008)

Multi-Label Classification of Music into Emotions. - Konstantinos Trohidis; Grigorios Tsoumakas; George Kalliris; Ioannis P. Vlahavas (ISMIR, 2008)

An Empirical Study of Lazy Multilabel Classification Algorithms. - Eleftherios Spyromitros Xioufis; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2008)

Regression via Classification applied on software defect estimation. - Stamatia Bibi; Grigorios Tsoumakas; Ioannis Stamelos; Ioannis P. Vlahavas (Expert Syst. Appl., 2008)

Greedy regression ensemble selection: Theory and an application to water quality prediction. - Ioannis Partalas; Grigorios Tsoumakas; Evaggelos V. Hatzikos; Ioannis P. Vlahavas (Inf. Sci., 2008)

An empirical study on sea water quality prediction. - Evaggelos V. Hatzikos; Grigorios Tsoumakas; George Tzanis; Nick Bassiliades; Ioannis P. Vlahavas (Knowl. Based Syst., 2008)

Multi-Label Classification. - Grigorios Tsoumakas; Ioannis Katakis 001 (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Distributed Data Mining. - Grigorios Tsoumakas; Ioannis P. Vlahavas (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Transferring experience in reinforcement learning through task decomposition. - Ioannis Partalas; Grigorios Tsoumakas; Konstantinos Tzevanidis; Ioannis P. Vlahavas (AAMAS (2), 2009)

An Empirical Study of Multi-label Learning Methods for Video Annotation. - Anastasios Dimou; Grigorios Tsoumakas; Vasileios Mezaris; Ioannis Kompatsiaris; Ioannis P. Vlahavas (CBMI, 2009)

On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification. - Ioannis Katakis 001; Georgios Meditskos; Grigorios Tsoumakas; Nick Bassiliades; Ioannis P. Vlahavas (AIAI, 2009)

Clustering Based Multi-Label Classification for Image Annotation and Retrieval. - Gulisong Nasierding; Grigorios Tsoumakas; Abbas Z. Kouzani (SMC, 2009)

Pruning an ensemble of classifiers via reinforcement learning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2009)

An adaptive personalized news dissemination system. - Ioannis Katakis 001; Grigorios Tsoumakas; Evangelos Banos; Nick Bassiliades; Ioannis P. Vlahavas (J. Intell. Inf. Syst., 2009)

Distributed Data Mining. - Grigorios Tsoumakas (Encyclopedia of Data Warehousing and Mining, 2009)

An Ensemble Pruning Primer. - Grigorios Tsoumakas; Ioannis Partalas; Ioannis P. Vlahavas (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

A Triple-Random Ensemble Classification Method for Mining Multi-label Data. - Gulisong Nasierding; Abbas Z. Kouzani; Grigorios Tsoumakas (ICDM Workshops, 2010)

Obtaining Bipartitions from Score Vectors for Multi-Label Classification. - Marios Ioannou; George Sakkas; Grigorios Tsoumakas; Ioannis P. Vlahavas (ICTAI (1), 2010)

Instance-Based Ensemble Pruning via Multi-Label Classification. - Fotini Markatopoulou; Grigorios Tsoumakas; Ioannis P. Vlahavas (ICTAI (1), 2010)

Tracking recurring contexts using ensemble classifiers: an application to email filtering. - Ioannis Katakis 001; Grigorios Tsoumakas; Ioannis P. Vlahavas (Knowl. Inf. Syst., 2010)

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Mach. Learn., 2010)

Mining Multi-label Data. - Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (Data Mining and Knowledge Discovery Handbook, 2010)

MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks. - Eleftherios Spyromitros Xioufis; Konstantinos Sechidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (CLEF (Notebook Papers/Labs/Workshop), 2011)

Transferring Models in Hybrid Reinforcement Learning Agents. - Anestis Fachantidis; Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (EANN, 2011)

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

Multi-label Learning Approaches for Music Instrument Recognition. - Eleftherios Spyromitros Xioufis; Grigorios Tsoumakas; Ioannis P. Vlahavas (ISMIS, 2011)

On the Stratification of Multi-label Data. - Konstantinos Sechidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (ECML/PKDD (3), 2011)

Multi-label classification of music by emotion. - Konstantinos Trohidis; Grigorios Tsoumakas; George Kalliris; Ioannis P. Vlahavas (EURASIP J. Audio Speech Music. Process., 2011)

MULAN: A Java Library for Multi-Label Learning. - Grigorios Tsoumakas; Eleftherios Spyromitros Xioufis; Jozef Vilcek; Ioannis P. Vlahavas (J. Mach. Learn. Res., 2011)

Random k-Labelsets for Multilabel Classification. - Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (IEEE Trans. Knowl. Data Eng., 2011)

An empirical study on the combination of surf features with VLAD vectors for image search. - Eleftherios Spyromitros Xioufis; Symeon Papadopoulos; Ioannis Kompatsiaris; Grigorios Tsoumakas; Ioannis P. Vlahavas (WIAMIS, 2012)

Multi-Label Classification Methods for Multi-Target Regression - Eleftherios Spyromitros Xioufis; William Groves; Grigorios Tsoumakas; Ioannis P. Vlahavas (CoRR, 2012)

Introduction to the special issue on learning from multi-label data. - Grigorios Tsoumakas; Min-Ling Zhang; Zhi-Hua Zhou (Mach. Learn., 2012)

Evaluating Feature Selection Methods for Multi-Label Text Classication. - Newton Spolaôr; Grigorios Tsoumakas (BioASQ@CLEF, 2013)

Large-Scale Semantic Indexing of Biomedical Publications. - Grigorios Tsoumakas; Manos Laliotis; Nikos Markantonatos; Ioannis P. Vlahavas (BioASQ@CLEF, 2013)

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; Zhong Lei; William Cukierski; Sarah Frey Hadley; Adam Hadley; Matthew Betts; Xiaoli Z. Fern; Jed Irvine; Lawrence Neal; et al. (MLSP, 2013)

Transferring task models in Reinforcement Learning agents. - Anestis Fachantidis; Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2013)

Label Construction for Multi-label Feature Selection. - Newton Spolaôr; Maria Carolina Monard; Grigorios Tsoumakas; Huei Diana Lee (BRACIS, 2014)

Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. - Yannis Papanikolaou; Dimitrios Dimitriadis; Grigorios Tsoumakas; Manos Laliotis; Nikos Markantonatos; Ioannis P. Vlahavas (CLEF (Working Notes), 2014)

Branty: A Social Media Ranking Tool for Brands. - Alexandros Arvanitidis; Anna Serafi; Athena Vakali; Grigorios Tsoumakas (ECML/PKDD (3), 2014)

Multi-target Regression via Random Linear Target Combinations. - Grigorios Tsoumakas; Eleftherios Spyromitros Xioufis; Aikaterini Vrekou; Ioannis P. Vlahavas (ECML/PKDD (3), 2014)

Feature Evaluation Metrics for Population Genomic Data. - Ioannis Kavakiotis; Alexandros Triantafyllidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2014)

WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics. - Grigorios Tsoumakas; Apostolos Papadopoulos; Weining Qian; Stavros Vologiannidis; Alexander D'yakonov; Antti Puurula; Jesse Read; Jan Svec; Stanislav Semenov (WISE (2), 2014)

Discovering and Exploiting Entailment Relationships in Multi-Label Learning. - Christina Papagiannopoulou; Grigorios Tsoumakas; Ioannis Tsamardinos (CoRR, 2014)

A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval. - Eleftherios Spyromitros Xioufis; Symeon Papadopoulos; Yiannis Kompatsiaris; Grigorios Tsoumakas; Ioannis P. Vlahavas (IEEE Trans. Multim., 2014)

AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine. - Yannis Papanikolaou; Grigorios Tsoumakas; Manos Laliotis; Nikos Markantonatos; Ioannis P. Vlahavas (CLEF (Working Notes), 2015)

On Discovering Deterministic Relationships in Multi-Label Learning via Linked Open Data. - Eirini Papagiannopoulou; Grigorios Tsoumakas; Nick Bassiliades (KNOW@LOD, 2015)

Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning. - Christina Papagiannopoulou; Grigorios Tsoumakas; Ioannis Tsamardinos (KDD, 2015)

A prediction model of passenger demand using AVL and APC data from a bus fleet. - Patroklos Samaras; Anestis Fachantidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2015)

Dynamic ensemble pruning based on multi-label classification. - Fotini Markatopoulou; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2015)

Active Learning Algorithms for Multi-label Data. - Everton Alvares Cherman; Grigorios Tsoumakas; Maria Carolina Monard (AIAI, 2016)

An Empirical Comparison of Methods for Multi-label Data Stream Classification. - Konstantina Karponi; Grigorios Tsoumakas (INNS Conference on Big Data, 2016)

Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. - Anestis Fachantidis; Athanasios Tsiaras; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2016)

Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data. - Ioannis Kavakiotis; Alexandros Triantafyllidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2016)

Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia. - Ioannis Kavakiotis; Aliki Xochelli; Andreas Agathangelidis; Grigorios Tsoumakas; Nicos Maglaveras; Kostas Stamatopoulos; Anastasia Hadzidimitriou; Ioannis P. Vlahavas; Ioanna Chouvarda (BMC Bioinform., 2016)

A systematic review of multi-label feature selection and a new method based on label construction. - Newton Spolaôr; Maria Carolina Monard; Grigorios Tsoumakas; Huei Diana Lee (Neurocomputing, 2016)

Multi-target regression via input space expansion: treating targets as inputs. - Eleftherios Spyromitros Xioufis; Grigorios Tsoumakas; William Groves; Ioannis P. Vlahavas (Mach. Learn., 2016)

Multi-label Modality Classification for Figures in Biomedical Literature. - Athanasios Lagopoulos; Anestis Fachantidis; Grigorios Tsoumakas (CBMS, 2017)

Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews. - Antonios Anagnostou; Athanasios Lagopoulos; Grigorios Tsoumakas; Ioannis P. Vlahavas (CLEF (Working Notes), 2017)

Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company. - Ioannis Mamalikidis; Christos Karapiperis; Lefteris Angelis; Grigorios Tsoumakas; Ioannis P. Vlahavas (PCI, 2017)

Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models. - Yannis Papanikolaou; Grigorios Tsoumakas; Manos Laliotis; Nikos Markantonatos; Ioannis P. Vlahavas (J. Biomed. Semant., 2017)

Subset Labeled LDA for Large-Scale Multi-Label Classification. - Yannis Papanikolaou; Grigorios Tsoumakas (CoRR, 2017)

Local Word Vectors Guide Keyphrase Extraction. - Eirini Papagiannopoulou; Grigorios Tsoumakas (CoRR, 2017)

Web Robot Detection in Academic Publishing. - Athanasios Lagopoulos; Grigorios Tsoumakas; Georgios Papadopoulos (CoRR, 2017)

Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA. - Yannis Papanikolaou; James R. Foulds; Timothy N. Rubin; Grigorios Tsoumakas (J. Mach. Learn. Res., 2017)

Making Classifier Chains Resilient to Class Imbalance. - Bin Liu 058; Grigorios Tsoumakas (ACML, 2018)

Learning-to-Rank and Relevance Feedback for Literature Appraisal in Empirical Medicine. - Athanasios Lagopoulos; Antonios Anagnostou; Adamantios Minas; Grigorios Tsoumakas (CLEF, 2018)

Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab. - Adamantios Minas; Athanasios Lagopoulos; Grigorios Tsoumakas (CLEF (Working Notes), 2018)

Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification. - Yannis Papanikolaou; Grigorios Tsoumakas (DaWaK, 2018)

Web Robot Detection: A Semantic Approach. - Athanasios Lagopoulos; Grigorios Tsoumakas; Georgios Papadopoulos (ICTAI, 2018)

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

WAMBy: An information retrieval approach to web-based question answering. - Christos Samarinas; Grigorios Tsoumakas (SETN, 2018)

Using multi-target feature evaluation to discover factors that affect business process behavior. - Pavlos Delias; Athanasios Lagopoulos; Grigorios Tsoumakas; Daniela Grigori (Comput. Ind., 2018)

Unsupervised Keyphrase Extraction Based on Outlier Detection. - Eirini Papagiannopoulou; Grigorios Tsoumakas (CoRR, 2018)

Hierarchical partitioning of the output space in multi-label data. - Yannis Papanikolaou; Grigorios Tsoumakas; Ioannis Katakis 001 (Data Knowl. Eng., 2018)

Local word vectors guiding keyphrase extraction. - Eirini Papagiannopoulou; Grigorios Tsoumakas (Inf. Process. Manag., 2018)

Unsupervised Keyphrase Extraction from Scientific Publications. - Eirini Papagiannopoulou; Grigorios Tsoumakas (CICLing (1), 2019)

Yes/No Question Answering in BioASQ 2019. - Dimitris Dimitriadis; Grigorios Tsoumakas (PKDD/ECML Workshops (2), 2019)

Structured Summarization of Academic Publications. - Alexios Gidiotis; Grigorios Tsoumakas (PKDD/ECML Workshops (2), 2019)

Synthetic Oversampling of Multi-label Data Based on Local Label Distribution. - Bin Liu 058; Grigorios Tsoumakas (ECML/PKDD (2), 2019)

LioNets: Local Interpretation of Neural Networks Through Penultimate Layer Decoding. - Ioannis Mollas; Nikolaos Bassiliades; Grigorios Tsoumakas (PKDD/ECML Workshops (1), 2019)

A survey of machine learning techniques for food sales prediction. - Grigorios Tsoumakas (Artif. Intell. Rev., 2019)

LionForests: Local Interpretation of Random Forests through Path Selection. - Ioannis Mollas; Grigorios Tsoumakas; Nick Bassiliades (CoRR, 2019)

Multi-label active learning: key issues and a novel query strategy. - Everton Alvares Cherman; Yannis Papanikolaou; Grigorios Tsoumakas; Maria Carolina Monard (Evol. Syst., 2019)

Word embeddings and external resources for answer processing in biomedical factoid question answering. - Dimitris Dimitriadis; Grigorios Tsoumakas (J. Biomed. Informatics, 2019)

Classifying Biomedical Figures by Modality via Multi-Label Learning. - Athanasios Lagopoulos; Nikolaos Kapraras; Vasileios Amanatiadis; Anestis Fachantidis; Grigorios Tsoumakas (IEEE J. Biomed. Health Informatics, 2019)

Web robot detection - Server logs. - Athanasios Lagopoulos; Grigorios Tsoumakas (Zenodo, 2019)

LionForests: local interpretation of random forests. - Ioannis Mollas; Nick Bassiliades; Ioannis P. Vlahavas; Grigorios Tsoumakas (NeHuAI@ECAI, 2020)

AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20. - Alexios Gidiotis; Stefanos Stefanidis; Grigorios Tsoumakas (SDP@EMNLP, 2020)

Studying the Evolution of Greek Words via Word Embeddings. - Vasileios Barzokas; Eirini Papagiannopoulou; Grigorios Tsoumakas (SETN, 2020)

Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (SETN, 2020)

Content-aware web robot detection. - Athanasios Lagopoulos; Grigorios Tsoumakas (Appl. Intell., 2020)

A Divide-and-Conquer Approach to the Summarization of Academic Articles. - Alexios Gidiotis; Grigorios Tsoumakas (CoRR, 2020)

ETHOS: an Online Hate Speech Detection Dataset. - Ioannis Mollas; Zoe Chrysopoulou; Stamatis Karlos; Grigorios Tsoumakas (CoRR, 2020)

Keywords lie far from the mean of all words in local vector space. - Eirini Papagiannopoulou; Grigorios Tsoumakas; Apostolos N. Papadopoulos (CoRR, 2020)

From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews. - Athanasios Lagopoulos; Grigorios Tsoumakas (CoRR, 2020)

Beyond MeSH: Fine-grained semantic indexing of biomedical literature based on weak supervision. - Anastasios Nentidis; Anastasia Krithara; Grigorios Tsoumakas; Georgios Paliouras (Inf. Process. Manag., 2020)

Dealing with class imbalance in classifier chains via random undersampling. - Bin Liu 058; Grigorios Tsoumakas (Knowl. Based Syst., 2020)

A Divide-and-Conquer Approach to the Summarization of Long Documents. - Alexios Gidiotis; Grigorios Tsoumakas (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

A review of keyphrase extraction. - Eirini Papagiannopoulou; Grigorios Tsoumakas (WIREs Data Mining Knowl. Discov., 2020)

A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (AIME, 2021)

Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. - Argyrios S. Vartholomaios; Stamatis Karlos; Eleftherios Kouloumpris; Grigorios Tsoumakas (DEXA Workshops, 2021)

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

Improving Distantly-Supervised Relation Extraction Through BERT-Based Label and Instance Embeddings. - Despina Christou; Grigorios Tsoumakas (IEEE Access, 2021)

What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus. - Anastasios Nentidis; Anastasia Krithara; Grigorios Tsoumakas; Georgios Paliouras (CoRR, 2021)

Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings. - Despina Christou; Grigorios Tsoumakas (CoRR, 2021)

Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction. - Bin Liu 058; Grigorios Tsoumakas (CoRR, 2021)

Self-citation Analysis using Sentence Embeddings. - Athanasios Lagopoulos; Grigorios Tsoumakas (CoRR, 2021)

Uncertainty-Aware Abstractive Summarization. - Alexios Gidiotis; Grigorios Tsoumakas (CoRR, 2021)

Harvesting the Public MeSH Note field. - Anastasios Nentidis; Anastasia Krithara; Grigorios Tsoumakas; Georgios Paliouras (CoRR, 2021)

What is all this new MeSH about? - Anastasios Nentidis; Anastasia Krithara; Grigorios Tsoumakas; Georgios Paliouras (Int. J. Digit. Libr., 2021)

Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. - Stamatis Karlos; Nikolaos Mylonas; Grigorios Tsoumakas (Pattern Recognit. Lett., 2021)

Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning. - Konstantinos Pliakos; Celine Vens; Grigorios Tsoumakas (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue. - Alexios Gidiotis; Grigorios Tsoumakas (ACL (Findings), 2022)

LARD: Large-scale Artificial Disfluency Generation. - Tatiana Passali; Thanassis Mavropoulos; Grigorios Tsoumakas; Georgios Meditskos; Stefanos Vrochidis (LREC, 2022)

Local Multi-label Explanations for Random Forest. - Nikolaos Mylonas; Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (PKDD/ECML Workshops (1), 2022)

Local Explanation of Dimensionality Reduction. - Avraam Bardos; Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (SETN, 2022)

Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. - Eleftherios Kouloumpris; Athina Konstantinou; Stamatis Karlos; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2022)

Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. - Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (SETN, 2022)

Improving Zero-Shot Entity Retrieval through Effective Dense Representations. - Eleni Partalidou; Despina Christou; Grigorios Tsoumakas (SETN, 2022)

Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery. - Bin Liu 058; Konstantinos Pliakos; Celine Vens; Grigorios Tsoumakas (Appl. Intell., 2022)

Multiple similarity drug-target interaction prediction with random walks and matrix factorization. - Bin Liu 058; Dimitrios Papadopoulos 004; Fragkiskos D. Malliaros; Grigorios Tsoumakas; Apostolos N. Papadopoulos (Briefings Bioinform., 2022)

Topic-Aware Evaluation and Transformer Methods for Topic-Controllable Summarization. - Tatiana Passali; Grigorios Tsoumakas (CoRR, 2022)

Improving Attention-Based Interpretability of Text Classification Transformers. - Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (CoRR, 2022)

Conclusive local interpretation rules for random forests. - Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (Data Min. Knowl. Discov., 2022)

Multi-label sampling based on local label imbalance. - Bin Liu 058; Konstantinos Blekas; Grigorios Tsoumakas (Pattern Recognit., 2022)

Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH. - Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (CBMS, 2023)

Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. - Dimitrios Akrivousis; Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (DSAA, 2023)

Local Interpretability of Random Forests for Multi-target Regression. - Avraam Bardos; Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (PKDD/ECML Workshops (1), 2023)

On the Adaptability of Attention-Based Interpretability in Different Transformer Architectures for Multi-class Classification Tasks. - Sofia Katsaki; Christos Aivazidis; Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (PKDD/ECML Workshops (1), 2023)

Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. - Loukia Avramelou; Nikolaos Passalis; Grigorios Tsoumakas; Anastasios Tefas (SSCI, 2023)

LioNets: a neural-specific local interpretation technique exploiting penultimate layer information. - Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (Appl. Intell., 2023)

Large-scale fine-grained semantic indexing of biomedical literature based on weakly-supervised deep learning. - Anastasios Nentidis; Thomas Chatzopoulos; Anastasia Krithara; Grigorios Tsoumakas; Georgios Paliouras (CoRR, 2023)

From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences. - Tatiana Passali; Efstathios Chatzikyriakidis; Stelios Andreadis; Thanos G. Stavropoulos; Anastasia Matonaki; Anestis Fachantidis; Grigorios Tsoumakas (CoRR, 2023)

On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues. - Nikolaos Mylonas; Ioannis Mollas; Bin Liu 058; Yannis Manolopoulos; Grigorios Tsoumakas (IEEE Intell. Syst., 2023)

WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (Artif. Intell. Medicine, 2023)

Fine-grained selective similarity integration for drug-target interaction prediction. - Bin Liu 058; Jin Wang 006; Kaiwei Sun; Grigorios Tsoumakas (Briefings Bioinform., 2023)

Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature. - Anastasios Nentidis; Thomas Chatzopoulos; Anastasia Krithara; Grigorios Tsoumakas; Georgios Paliouras (J. Biomed. Informatics, 2023)

Enhancing yes/no question answering with weak supervision via extractive question answering. - Dimitris Dimitriadis; Grigorios Tsoumakas (Appl. Intell., 2023)

Truthful meta-explanations for local interpretability of machine learning models. - Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (Appl. Intell., 2023)

Does noise affect housing prices? A case study in the urban area of Thessaloniki. - Georgios Kamtziridis; Dimitris Vrakas; Grigorios Tsoumakas (EPJ Data Sci., 2023)

AUTH at BioLaySumm 2024: Bringing Scientific Content to Kids. - Loukritia Stefanou; Tatiana Passali; Grigorios Tsoumakas (BioNLP@ACL, 2024)

Topic-Controllable Summarization: Topic-Aware Evaluation and Transformer Methods. - Tatiana Passali; Grigorios Tsoumakas (LREC/COLING, 2024)

Zero-Shot Relabeling of Weak Labels for Fine-Grained Semantic Indexing of Biomedical Literature. - Anastasios Nentidis; Anastasia Krithara; Grigorios Tsoumakas; Georgios Paliouras (ECAI, 2024)

Multi-label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. - Ao Zhou; Bin Liu 058; Zhaoyang Peng; Jin Wang 006; Grigorios Tsoumakas (ECML/PKDD (5), 2024)

Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. - Ao Zhou; Bin Liu 058; Jin Wang 006; Grigorios Tsoumakas (CoRR, 2024)

Exploring local interpretability in dimensionality reduction: Analysis and use cases. - Nikolaos Mylonas; Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (Expert Syst. Appl., 2024)

Integrating Similarities via Local Interaction Consistency and Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction. - Bin Liu 058; Grigorios Tsoumakas (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Bayesian active summarization. - Alexios Gidiotis; Grigorios Tsoumakas (Comput. Speech Lang., 2024)

An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification. - Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (Data Min. Knowl. Discov., 2024)

Artificial fine-tuning tasks for yes/no question answering. - Dimitris Dimitriadis; Grigorios Tsoumakas (Nat. Lang. Eng., 2024)

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

BioASQ at CLEF2025: The Thirteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. - Anastasios Nentidis; Georgios Katsimpras; Anastasia Krithara; Martin Krallinger; Miguel Rodríguez-Ortega; Natalia V. Loukachevitch; Andrey Sakhovskiy; Elena Tutubalina; Grigorios Tsoumakas; George Giannakoulas; Alexandra Bekiaridou; Athanasios Samaras; et al. (ECIR (5), 2025)

Artificial disfluency detection, uh no, disfluency generation for the masses. - Tatiana Passali; Thanassis Mavropoulos; Grigorios Tsoumakas; Georgios Meditskos; Stefanos Vrochidis (Comput. Speech Lang., 2025)

Oversampling multi-label data based on natural neighbor and label correlation. - Bin Liu 058; Ao Zhou; Bingkun Wei; Jin Wang 006; Grigorios Tsoumakas (Expert Syst. Appl., 2025)

DUAL: Diversity and Uncertainty Active Learning for Text Summarization. - Petros Stylianos Giouroukis; Alexios Gidiotis; Grigorios Tsoumakas (CoRR, 2025)