Grigorios Tsoumakas

218 papers A* 6A 5B 10C 5Misc 3Journal 113Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	BioASQ at CLEF2026: The Fourteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. ECIR (4) Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodríguez-Ortega, Eduard Rodriguez-López, Natalia V. Loukachevitch, Igor Rozhkov, Elena Tutubalina, Grigorios Tsoumakas, George Giannakoulas, Dimitris Dimitriadis, Alexandra Bekiaridou, Athanasios Samaras, Vasiliki Patsiou, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Marco Martinelli, Gianmaria Silvello, Georgios Paliouras
2025	J	`jnl`	Artificial disfluency detection, uh no, disfluency generation for the masses. Comput. Speech Lang. Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, Georgios Meditskos, Stefanos Vrochidis
2025	A*	`conf`	Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations. AAAI Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas
2025	—	`conf`	BioASQ at CLEF2025: The Thirteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. ECIR (5) 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, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Georgios Paliouras
2025	J	`jnl`	DUAL: Diversity and Uncertainty Active Learning for Text Summarization. CoRR Petros Stylianos Giouroukis, Alexios Gidiotis, Grigorios Tsoumakas
2025	—	`conf`	Enhancing Detection of Leishmania spp. Amastigotes in Canine Lymph Node Smear Images: Evaluating the Effectiveness of Synthetic Data in Augmenting Existing Datasets. ECML/PKDD (9) Dimitrios Tsikos, Irene Chatzipanagiotidou, Dimitris Dimitriadis, Constantina N. Tsokana, George Valiakos, Labrini V. Athanasiou, Grigorios Tsoumakas
2025	J	`jnl`	Oversampling multi-label data based on natural neighbor and label correlation. Expert Syst. Appl. Bin Liu, Ao Zhou, Bingkun Wei, Jin Wang, Grigorios Tsoumakas
2025	—	`conf`	Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. CLEF Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodríguez-Ortega, Eduard Rodriguez-López, Natalia V. Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina, Dimitris Dimitriadis, Grigorios Tsoumakas, George Giannakoulas, Alexandra Bekiaridou, Athanasios Samaras, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Marco Martinelli, Gianmaria Silvello, Georgios Paliouras
2025	J	`jnl`	Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. CoRR Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodríguez-Ortega, Eduard Rodriguez-López, Natalia V. Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina, Dimitris Dimitriadis, Grigorios Tsoumakas, George Giannakoulas, Alexandra Bekiaridou, Athanasios Samaras, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Marco Martinelli, Gianmaria Silvello, Georgios Paliouras
2025	—	`conf`	Overview of ElCardioCC Task on Clinical Coding in Cardiology at BioASQ 2025. CLEF (Working Notes) Dimitris Dimitriadis, Vasiliki Patsiou, Eleonora Stoikopoulou, Achilleas Toumpas, Alkis Kipouros, Alexandra Bekiaridou, Konstantinos Barmpagiannos, Anthi Vasilopoulou, Antonios Barmpagiannos, Athanasios Samaras, Dimitrios Papadopoulos, George Giannakoulas, Grigorios Tsoumakas
2025	—	`conf`	TIDS: A Thermal Imaging Dataset for Subclinical Mastitis in Dairy Sheep. ECML/PKDD (9) Georgios Botsoglou, Marios Lysitsas, Dimitris Dimitriadis, Constantina N. Tsokana, George Valiakos, Grigorios Tsoumakas
2025	J	`jnl`	What's the Best Way to Retrieve Slides? A Comparative Study of Multimodal, Caption-Based, and Hybrid Retrieval Techniques. CoRR Petros Stylianos Giouroukis, Dimitris Dimitriadis, Dimitrios Papadopoulos, Zhenwen Shao, Grigorios Tsoumakas
2024	—	`conf`	AUTH at BioLaySumm 2024: Bringing Scientific Content to Kids. BioNLP@ACL Loukritia Stefanou, Tatiana Passali, Grigorios Tsoumakas
2024	J	`jnl`	An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification. Data Min. Knowl. Discov. Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2024	J	`jnl`	Artificial fine-tuning tasks for yes/no question answering. Nat. Lang. Eng. Dimitris Dimitriadis, Grigorios Tsoumakas
2024	J	`jnl`	Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations. CoRR Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas
2024	J	`jnl`	Bayesian active summarization. Comput. Speech Lang. Alexios Gidiotis, Grigorios Tsoumakas
2024	J	`jnl`	Exploring local interpretability in dimensionality reduction: Analysis and use cases. Expert Syst. Appl. Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2024	J	`jnl`	Integrating Similarities via Local Interaction Consistency and Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Bin Liu, Grigorios Tsoumakas
2024	J	`jnl`	Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. CoRR Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas
2024	—	`conf`	Multi-label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. ECML/PKDD (5) Ao Zhou, Bin Liu, Zhaoyang Peng, Jin Wang, Grigorios Tsoumakas
2024	—	`conf`	Topic-Controllable Summarization: Topic-Aware Evaluation and Transformer Methods. LREC/COLING Tatiana Passali, Grigorios Tsoumakas
2024	A	`conf`	Zero-Shot Relabeling of Weak Labels for Fine-Grained Semantic Indexing of Biomedical Literature. ECAI Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2023	B	`conf`	Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH. CBMS Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023	J	`jnl`	Does Noise Affect Housing Prices? A Case Study in the Urban Area of Thessaloniki. CoRR Georgios Kamtziridis, Dimitris Vrakas, Grigorios Tsoumakas
2023	J	`jnl`	Does noise affect housing prices? A case study in the urban area of Thessaloniki. EPJ Data Sci. Georgios Kamtziridis, Dimitris Vrakas, Grigorios Tsoumakas
2023	—	`conf`	Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. SSCI Loukia Avramelou, Nikolaos Passalis, Grigorios Tsoumakas, Anastasios Tefas
2023	J	`jnl`	Enhancing yes/no question answering with weak supervision via extractive question answering. Appl. Intell. Dimitris Dimitriadis, Grigorios Tsoumakas
2023	J	`jnl`	Fine-grained selective similarity integration for drug-target interaction prediction. Briefings Bioinform. Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas
2023	J	`jnl`	From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences. CoRR Tatiana Passali, Efstathios Chatzikyriakidis, Stelios Andreadis, Thanos G. Stavropoulos, Anastasia Matonaki, Anestis Fachantidis, Grigorios Tsoumakas
2023	J	`jnl`	Large-scale fine-grained semantic indexing of biomedical literature based on weakly-supervised deep learning. CoRR Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2023	J	`jnl`	Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature. J. Biomed. Informatics Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2023	J	`jnl`	LioNets: a neural-specific local interpretation technique exploiting penultimate layer information. Appl. Intell. Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2023	J	`jnl`	Local Interpretability of Random Forests for Multi-Target Regression. CoRR Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023	—	`conf`	Local Interpretability of Random Forests for Multi-target Regression. PKDD/ECML Workshops (1) Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I ECML/PKDD (1) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II ECML/PKDD (2) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III ECML/PKDD (3) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV ECML/PKDD (4) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V ECML/PKDD (5) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI ECML/PKDD (6) Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023	—	`conf`	On the Adaptability of Attention-Based Interpretability in Different Transformer Architectures for Multi-class Classification Tasks. PKDD/ECML Workshops (1) Sofia Katsaki, Christos Aivazidis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023	J	`jnl`	On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues. IEEE Intell. Syst. Nikolaos Mylonas, Ioannis Mollas, Bin Liu, Yannis Manolopoulos, Grigorios Tsoumakas
2023	B	`conf`	Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. DSAA Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023	J	`jnl`	Truthful meta-explanations for local interpretability of machine learning models. Appl. Intell. Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2023	J	`jnl`	WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artif. Intell. Medicine Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
2022	—	`conf`	Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. SETN Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022	J	`jnl`	Artificial Disfluency Detection, Uh No, Disfluency Generation for the Masses. CoRR Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, George Meditskos, Stefanos Vrochidis
2022	J	`jnl`	Conclusive local interpretation rules for random forests. Data Min. Knowl. Discov. Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022	J	`jnl`	Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery. Appl. Intell. Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas
2022	J	`jnl`	ETHOS: a multi-label hate speech detection dataset. Complex Intell. Syst. Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
2022	J	`jnl`	Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction. CoRR Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas
2022	J	`jnl`	Improving Attention-Based Interpretability of Text Classification Transformers. CoRR Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2022	—	`conf`	Improving Zero-Shot Entity Retrieval through Effective Dense Representations. SETN Eleni Partalidou, Despina Christou, Grigorios Tsoumakas
2022	B	`conf`	LARD: Large-scale Artificial Disfluency Generation. LREC Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, Georgios Meditskos, Stefanos Vrochidis
2022	J	`jnl`	LARD: Large-scale Artificial Disfluency Generation. CoRR Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, George Meditskos, Stefanos Vrochidis
2022	—	`conf`	Local Explanation of Dimensionality Reduction. SETN Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022	J	`jnl`	Local Explanation of Dimensionality Reduction. CoRR Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022	J	`jnl`	Local Multi-Label Explanations for Random Forest. CoRR Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022	—	`conf`	Local Multi-label Explanations for Random Forest. PKDD/ECML Workshops (1) Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022	J	`jnl`	Multi-label sampling based on local label imbalance. Pattern Recognit. Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
2022	J	`jnl`	Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization. CoRR Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos
2022	J	`jnl`	Multiple similarity drug-target interaction prediction with random walks and matrix factorization. Briefings Bioinform. Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos
2022	—	`conf`	Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. SETN Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas
2022	—	`conf`	Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue. ACL (Findings) Alexios Gidiotis, Grigorios Tsoumakas
2022	J	`jnl`	Topic-Aware Evaluation and Transformer Methods for Topic-Controllable Summarization. CoRR Tatiana Passali, Grigorios Tsoumakas
2022	J	`jnl`	Truthful Meta-Explanations for Local Interpretability of Machine Learning Models. CoRR Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021	B	`conf`	A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. AIME Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
2021	J	`jnl`	Bayesian Active Summarization. CoRR Alexios Gidiotis, Grigorios Tsoumakas
2021	J	`jnl`	Conclusive Local Interpretation Rules for Random Forests. CoRR Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021	J	`jnl`	Harvesting the Public MeSH Note field. CoRR Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2021	J	`jnl`	Improving Distantly-Supervised Relation Extraction Through BERT-Based Label and Instance Embeddings. IEEE Access Despina Christou, Grigorios Tsoumakas
2021	J	`jnl`	Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings. CoRR Despina Christou, Grigorios Tsoumakas
2021	J	`jnl`	Improving Zero-Shot Entity Retrieval through Effective Dense Representations. CoRR Eleni Partalidou, Despina Christou, Grigorios Tsoumakas
2021	J	`jnl`	Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. Pattern Recognit. Lett. Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas
2021	J	`jnl`	LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information. CoRR Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021	J	`jnl`	Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction. CoRR Bin Liu, Grigorios Tsoumakas
2021	J	`jnl`	Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning. IEEE ACM Trans. Comput. Biol. Bioinform. Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas
2021	J	`jnl`	Self-citation Analysis using Sentence Embeddings. CoRR Athanasios Lagopoulos, Grigorios Tsoumakas
2021	—	`conf`	Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. DEXA Workshops Argyrios S. Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
2021	J	`jnl`	Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles. CoRR Argyrios S. Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
2021	J	`jnl`	Uncertainty-Aware Abstractive Summarization. CoRR Alexios Gidiotis, Grigorios Tsoumakas
2021	A*	`conf`	VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance. IJCAI Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021	J	`jnl`	VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance. CoRR Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021	J	`jnl`	What is all this new MeSH about? Int. J. Digit. Libr. Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2021	J	`jnl`	What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus. CoRR Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2020	J	`jnl`	A Divide-and-Conquer Approach to the Summarization of Academic Articles. CoRR Alexios Gidiotis, Grigorios Tsoumakas
2020	J	`jnl`	A Divide-and-Conquer Approach to the Summarization of Long Documents. IEEE ACM Trans. Audio Speech Lang. Process. Alexios Gidiotis, Grigorios Tsoumakas
2020	J	`jnl`	A review of keyphrase extraction. WIREs Data Mining Knowl. Discov. Eirini Papagiannopoulou, Grigorios Tsoumakas
2020	—	`conf`	AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20. SDP@EMNLP Alexios Gidiotis, Stefanos Stefanidis, Grigorios Tsoumakas
2020	J	`jnl`	Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. CoRR Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2020	J	`jnl`	Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision. CoRR Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2020	J	`jnl`	Beyond MeSH: Fine-grained semantic indexing of biomedical literature based on weak supervision. Inf. Process. Manag. Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2020	J	`jnl`	Content-aware web robot detection. Appl. Intell. Athanasios Lagopoulos, Grigorios Tsoumakas
2020	J	`jnl`	Dealing with class imbalance in classifier chains via random undersampling. Knowl. Based Syst. Bin Liu, Grigorios Tsoumakas
2020	B	`ed.`	Discovery Science - 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings DS Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, Stan Matwin
2020	J	`jnl`	Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery. CoRR Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas
2020	J	`jnl`	ETHOS: an Online Hate Speech Detection Dataset. CoRR Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
2020	J	`jnl`	From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews. CoRR Athanasios Lagopoulos, Grigorios Tsoumakas
2020	J	`jnl`	Keywords lie far from the mean of all words in local vector space. CoRR Eirini Papagiannopoulou, Grigorios Tsoumakas, Apostolos N. Papadopoulos
2020	—	`conf`	LionForests: local interpretation of random forests. NeHuAI@ECAI Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas
2020	J	`jnl`	Multi-Label Sampling based on Local Label Imbalance. CoRR Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
2020	—	`conf`	Studying the Evolution of Greek Words via Word Embeddings. SETN Vasileios Barzokas, Eirini Papagiannopoulou, Grigorios Tsoumakas
2020	—	`conf`	Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. SETN Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
2019	J	`jnl`	A Review of Keyphrase Extraction. CoRR Eirini Papagiannopoulou, Grigorios Tsoumakas
2019	J	`jnl`	A survey of machine learning techniques for food sales prediction. Artif. Intell. Rev. Grigorios Tsoumakas
2019	B	`conf`	Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature Based on Weak Supervision. CBMS Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
2019	J	`jnl`	Classifying Biomedical Figures by Modality via Multi-Label Learning. IEEE J. Biomed. Health Informatics Athanasios Lagopoulos, Nikolaos Kapraras, Vasileios Amanatiadis, Anestis Fachantidis, Grigorios Tsoumakas
2019	—	`conf`	LioNets: Local Interpretation of Neural Networks Through Penultimate Layer Decoding. PKDD/ECML Workshops (1) Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas
2019	J	`jnl`	LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding. CoRR Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas
2019	J	`jnl`	LionForests: Local Interpretation of Random Forests through Path Selection. CoRR Ioannis Mollas, Grigorios Tsoumakas, Nick Bassiliades
2019	J	`jnl`	Multi-label active learning: key issues and a novel query strategy. Evol. Syst. Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard
2019	—	`conf`	Structured Summarization of Academic Publications. PKDD/ECML Workshops (2) Alexios Gidiotis, Grigorios Tsoumakas
2019	J	`jnl`	Structured Summarization of Academic Publications. CoRR Alexios Gidiotis, Grigorios Tsoumakas
2019	J	`jnl`	Synthetic Oversampling of Multi-Label Data based on Local Label Distribution. CoRR Bin Liu, Grigorios Tsoumakas
2019	—	`conf`	Synthetic Oversampling of Multi-label Data Based on Local Label Distribution. ECML/PKDD (2) Bin Liu, Grigorios Tsoumakas
2019	—	`conf`	Unsupervised Keyphrase Extraction from Scientific Publications. CICLing (1) Eirini Papagiannopoulou, Grigorios Tsoumakas
2019	J	`jnl`	Word embeddings and external resources for answer processing in biomedical factoid question answering. J. Biomed. Informatics Dimitris Dimitriadis, Grigorios Tsoumakas
2019	—	`conf`	Yes/No Question Answering in BioASQ 2019. PKDD/ECML Workshops (2) Dimitris Dimitriadis, Grigorios Tsoumakas
2018	—	`conf`	Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab. CLEF (Working Notes) Adamantios Minas, Athanasios Lagopoulos, Grigorios Tsoumakas
2018	A*	`conf`	Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech. IJCAI Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas
2018	J	`jnl`	Hierarchical partitioning of the output space in multi-label data. Data Knowl. Eng. Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis Katakis
2018	—	`conf`	Learning-to-Rank and Relevance Feedback for Literature Appraisal in Empirical Medicine. CLEF Athanasios Lagopoulos, Antonios Anagnostou, Adamantios Minas, Grigorios Tsoumakas
2018	J	`jnl`	Local word vectors guiding keyphrase extraction. Inf. Process. Manag. Eirini Papagiannopoulou, Grigorios Tsoumakas
2018	C	`conf`	Making Classifier Chains Resilient to Class Imbalance. ACML Bin Liu, Grigorios Tsoumakas
2018	J	`jnl`	Making Classifier Chains Resilient to Class Imbalance. CoRR Bin Liu, Grigorios Tsoumakas
2018	B	`conf`	Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification. DaWaK Yannis Papanikolaou, Grigorios Tsoumakas
2018	J	`jnl`	Unsupervised Keyphrase Extraction Based on Outlier Detection. CoRR Eirini Papagiannopoulou, Grigorios Tsoumakas
2018	J	`jnl`	Using multi-target feature evaluation to discover factors that affect business process behavior. Comput. Ind. Pavlos Delias, Athanasios Lagopoulos, Grigorios Tsoumakas, Daniela Grigori
2018	—	`conf`	WAMBy: An information retrieval approach to web-based question answering. SETN Christos Samarinas, Grigorios Tsoumakas
2018	B	`conf`	Web Robot Detection: A Semantic Approach. ICTAI Athanasios Lagopoulos, Grigorios Tsoumakas, Georgios Papadopoulos
2017	—	`conf`	Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews. CLEF (Working Notes) Antonios Anagnostou, Athanasios Lagopoulos, Grigorios Tsoumakas, Ioannis P. Vlahavas
2017	J	`jnl`	Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA. J. Mach. Learn. Res. Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas
2017	J	`jnl`	Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models. CoRR Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2017	J	`jnl`	Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models. J. Biomed. Semant. Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2017	J	`jnl`	Local Word Vectors Guide Keyphrase Extraction. CoRR Eirini Papagiannopoulou, Grigorios Tsoumakas
2017	—	`conf`	Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company. PCI Ioannis Mamalikidis, Christos Karapiperis, Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2017	B	`conf`	Multi-label Modality Classification for Figures in Biomedical Literature. CBMS Athanasios Lagopoulos, Anestis Fachantidis, Grigorios Tsoumakas
2017	J	`jnl`	Subset Labeled LDA for Large-Scale Multi-Label Classification. CoRR Yannis Papanikolaou, Grigorios Tsoumakas
2017	J	`jnl`	Web Robot Detection in Academic Publishing. CoRR Athanasios Lagopoulos, Grigorios Tsoumakas, Georgios Papadopoulos
2016	J	`jnl`	A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing Newton Spolaôr, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee
2016	Misc	`conf`	Active Learning Algorithms for Multi-label Data. AIAI Everton Alvares Cherman, Grigorios Tsoumakas, Maria Carolina Monard
2016	—	`conf`	An Empirical Comparison of Methods for Multi-label Data Stream Classification. INNS Conference on Big Data Konstantina Karponi, Grigorios Tsoumakas
2016	—	`conf`	Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data. SETN Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2016	J	`jnl`	Hierarchical Partitioning of the Output Space in Multi-label Data. CoRR Yannis Papanikolaou, Ioannis Katakis, Grigorios Tsoumakas
2016	J	`jnl`	Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia. BMC Bioinform. Ioannis Kavakiotis, Aliki Xochelli, Andreas Agathangelidis, Grigorios Tsoumakas, Nicos Maglaveras, Kostas Stamatopoulos, Anastasia Hadzidimitriou, Ioannis P. Vlahavas, Ioanna Chouvarda
2016	J	`jnl`	Multi-target regression via input space expansion: treating targets as inputs. Mach. Learn. Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, William Groves, Ioannis P. Vlahavas
2016	—	`conf`	Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. SETN Anestis Fachantidis, Athanasios Tsiaras, Grigorios Tsoumakas, Ioannis P. Vlahavas
2015	—	`conf`	A prediction model of passenger demand using AVL and APC data from a bus fleet. Panhellenic Conference on Informatics Patroklos Samaras, Anestis Fachantidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2015	—	`conf`	AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine. CLEF (Working Notes) Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2015	A*	`conf`	Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning. KDD Christina Papagiannopoulou, Grigorios Tsoumakas, Ioannis Tsamardinos
2015	J	`jnl`	Dynamic ensemble pruning based on multi-label classification. Neurocomputing Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas
2015	—	`conf`	On Discovering Deterministic Relationships in Multi-Label Learning via Linked Open Data. KNOW@LOD Eirini Papagiannopoulou, Grigorios Tsoumakas, Nick Bassiliades
2014	J	`jnl`	A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval. IEEE Trans. Multim. Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Yiannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas
2014	—	`conf`	Branty: A Social Media Ranking Tool for Brands. ECML/PKDD (3) Alexandros Arvanitidis, Anna Serafi, Athena Vakali, Grigorios Tsoumakas
2014	J	`jnl`	Discovering and Exploiting Entailment Relationships in Multi-Label Learning. CoRR Christina Papagiannopoulou, Grigorios Tsoumakas, Ioannis Tsamardinos
2014	—	`conf`	Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. CLEF (Working Notes) Yannis Papanikolaou, Dimitrios Dimitriadis, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2014	—	`conf`	Feature Evaluation Metrics for Population Genomic Data. SETN Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2014	—	`conf`	Label Construction for Multi-label Feature Selection. BRACIS Newton Spolaôr, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee
2014	J	`jnl`	Multi-Target Regression via Random Linear Target Combinations. CoRR Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas
2014	—	`conf`	Multi-target Regression via Random Linear Target Combinations. ECML/PKDD (3) Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas
2014	—	`conf`	WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics. WISE (2) Grigorios Tsoumakas, Apostolos Papadopoulos, Weining Qian, Stavros Vologiannidis, Alexander D'yakonov, Antti Puurula, Jesse Read, Jan Svec, Stanislav Semenov
2013	—	`conf`	Evaluating Feature Selection Methods for Multi-Label Text Classication. BioASQ@CLEF Newton Spolaôr, Grigorios Tsoumakas
2013	—	`conf`	Large-Scale Semantic Indexing of Biomedical Publications. BioASQ@CLEF Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2013	—	`conf`	The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. MLSP 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, Anil Thomas, Gábor Fodor, Grigorios Tsoumakas, Hong Wei Ng, Thi Ngoc Tho Nguyen, Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Aleksandr Diment, Tuomas Virtanen, Julien Marzat, Joseph Defretin, Dave Callender, Chris Hurlburt, Ken Larrey, Maxim Milakov
2013	J	`jnl`	Transferring task models in Reinforcement Learning agents. Neurocomputing Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2012	—	`conf`	An empirical study on the combination of surf features with VLAD vectors for image search. WIAMIS Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Ioannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas
2012	J	`jnl`	Introduction to the special issue on learning from multi-label data. Mach. Learn. Grigorios Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou
2012	J	`jnl`	Multi-Label Classification Methods for Multi-Target Regression CoRR Eleftherios Spyromitros Xioufis, William Groves, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	A*	`conf`	Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification. IJCAI Eleftherios Spyromitros Xioufis, Myra Spiliopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	—	`conf`	MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks. CLEF (Notebook Papers/Labs/Workshop) Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	J	`jnl`	MULAN: A Java Library for Multi-Label Learning. J. Mach. Learn. Res. Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Jozef Vilcek, Ioannis P. Vlahavas
2011	C	`conf`	Multi-label Learning Approaches for Music Instrument Recognition. ISMIS Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	J	`jnl`	Multi-label classification of music by emotion. EURASIP J. Audio Speech Music. Process. Konstantinos Trohidis, Grigorios Tsoumakas, George Kalliris, Ioannis P. Vlahavas
2011	—	`conf`	On the Stratification of Multi-label Data. ECML/PKDD (3) Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	J	`jnl`	Random k-Labelsets for Multilabel Classification. IEEE Trans. Knowl. Data Eng. Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
2011	C	`conf`	Transferring Models in Hybrid Reinforcement Learning Agents. EANN Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2010	—	`conf`	A Triple-Random Ensemble Classification Method for Mining Multi-label Data. ICDM Workshops Gulisong Nasierding, Abbas Z. Kouzani, Grigorios Tsoumakas
2010	J	`jnl`	An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. Mach. Learn. Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2010	—	`conf`	Instance-Based Ensemble Pruning via Multi-Label Classification. ICTAI (1) Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas
2010	—	`ch.`	Mining Multi-label Data. Data Mining and Knowledge Discovery Handbook Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
2010	—	`conf`	Obtaining Bipartitions from Score Vectors for Multi-Label Classification. ICTAI (1) Marios Ioannou, George Sakkas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2010	J	`jnl`	Tracking recurring contexts using ensemble classifiers: an application to email filtering. Knowl. Inf. Syst. Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2009	C	`conf`	An Empirical Study of Multi-label Learning Methods for Video Annotation. CBMI Anastasios Dimou, Grigorios Tsoumakas, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis P. Vlahavas
2009	—	`ch.`	An Ensemble Pruning Primer. Applications of Supervised and Unsupervised Ensemble Methods Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas
2009	J	`jnl`	An adaptive personalized news dissemination system. J. Intell. Inf. Syst. Ioannis Katakis, Grigorios Tsoumakas, Evangelos Banos, Nick Bassiliades, Ioannis P. Vlahavas
2009	Misc	`ed.`	Artificial Intelligence Applications and Innovations III, Proceedings of the 5TH IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009), April 23-25, 2009, Thessaloniki, Greece AIAI Lazaros S. Iliadis, Ilias Maglogiannis, Grigorios Tsoumakas, Ioannis P. Vlahavas, Max Bramer
2009	B	`conf`	Clustering Based Multi-Label Classification for Image Annotation and Retrieval. SMC Gulisong Nasierding, Grigorios Tsoumakas, Abbas Z. Kouzani
2009	—	`ch.`	Distributed Data Mining. Database Technologies: Concepts, Methodologies, Tools, and Applications Grigorios Tsoumakas, Ioannis P. Vlahavas
2009	—	`ch.`	Distributed Data Mining. Encyclopedia of Data Warehousing and Mining Grigorios Tsoumakas
2009	—	`ch.`	Multi-Label Classification. Database Technologies: Concepts, Methodologies, Tools, and Applications Grigorios Tsoumakas, Ioannis Katakis
2009	Misc	`conf`	On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification. AIAI Ioannis Katakis, Georgios Meditskos, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas
2009	J	`jnl`	Pruning an ensemble of classifiers via reinforcement learning. Neurocomputing Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2009	—	`conf`	Transferring experience in reinforcement learning through task decomposition. AAMAS (2) Ioannis Partalas, Grigorios Tsoumakas, Konstantinos Tzevanidis, Ioannis P. Vlahavas
2008	—	`conf`	An Empirical Study of Lazy Multilabel Classification Algorithms. SETN Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2008	A	`conf`	An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams. ECAI Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2008	J	`jnl`	An empirical study on sea water quality prediction. Knowl. Based Syst. Evaggelos V. Hatzikos, Grigorios Tsoumakas, George Tzanis, Nick Bassiliades, Ioannis P. Vlahavas
2008	A	`conf`	Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. ECAI Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2008	J	`jnl`	Greedy regression ensemble selection: Theory and an application to water quality prediction. Inf. Sci. Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V. Hatzikos, Ioannis P. Vlahavas
2008	—	`conf`	Multi-Label Classification of Music into Emotions. ISMIR Konstantinos Trohidis, Grigorios Tsoumakas, George Kalliris, Ioannis P. Vlahavas
2008	J	`jnl`	Regression via Classification applied on software defect estimation. Expert Syst. Appl. Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamelos, Ioannis P. Vlahavas
2007	J	`jnl`	An interoperable and scalable Web-based system for classifier sharing and fusion. Expert Syst. Appl. Grigorios Tsoumakas, Ioannis P. Vlahavas
2007	J	`jnl`	Multi-Label Classification: An Overview. Int. J. Data Warehous. Min. Grigorios Tsoumakas, Ioannis Katakis
2007	—	`conf`	Random ECML Grigorios Tsoumakas, Ioannis P. Vlahavas
2006	—	`conf`	Ensemble Pruning Using Reinforcement Learning. SETN Ioannis Partalas, Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
2006	—	`conf`	PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering. OTM Conferences (1) Evangelos Banos, Ioannis Katakis, Nick Bassiliades, Grigorios Tsoumakas, Ioannis P. Vlahavas
2006	C	`conf`	Software Defect Prediction Using Regression via Classification. AICCSA Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamelos, Ioannis P. Vlahavas
2005	J	`jnl`	HAPRC: an automatically configurable planning system. AI Commun. Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas
2005	—	`conf`	On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams. Panhellenic Conference on Informatics Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2005	—	`conf`	Protein Classification with Multiple Algorithms. Panhellenic Conference on Informatics Sotiris Diplaris, Grigorios Tsoumakas, Pericles A. Mitkas, Ioannis P. Vlahavas
2005	J	`jnl`	Selective fusion of heterogeneous classifiers. Intell. Data Anal. Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas
2005	—	`—`	Μηχανική μάθηση για το συγκερασμό πολλαπλών, κατανεμημένων ευφυών συστημάτων Grigorios Tsoumakas
2004	J	`jnl`	Clustering classifiers for knowledge discovery from physically distributed databases. Data Knowl. Eng. Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas
2004	—	`conf`	Effective Voting of Heterogeneous Classifiers. ECML Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
2004	A	`conf`	Lazy Adaptive Multicriteria Planning. ECAI Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassiliades, Ioannis P. Vlahavas
2004	—	`conf`	Using the k-Nearest Problems for Adaptive Multicriteria Planning. SETN Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassiliades, Ioannis P. Vlahavas
2003	A*	`conf`	Learning Rules for Adaptive Planning. ICAPS Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas
2002	A	`conf`	Effective Stacking of Distributed Classifiers. ECAI Grigorios Tsoumakas, Ioannis P. Vlahavas