Grigorios Tsoumakas

发表

An Empirical Study of Multi-label Learning Methods for Video Annotation

Yiannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2009, 2009 Seventh International Workshop on Content-Based Multimedia Indexing.

Local Word Vectors Guide Keyphrase Extraction pdf

Grigorios Tsoumakas, Eirini Papagiannopoulou, 2017, ArXiv.

Keywords lie far from the mean of all words in local vector space pdf

Grigorios Tsoumakas, Eirini Papagiannopoulou, Apostolos N. Papadopoulos, 2020, ArXiv.

On the Combination of Two Decompositive Multi-Label Classification Methods

Johannes Fürnkranz, Grigorios Tsoumakas, Ioannis Katakis, 2009 .

AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2015, CLEF.

Studying the Evolution of Greek Words via Word Embeddings

Grigorios Tsoumakas, Eirini Papagiannopoulou, Vasileios Barzokas, 2020, SETN.

Subset Labeled LDA for Large-Scale Multi-Label Classification pdf

Yannis Papanikolaou, Grigorios Tsoumakas, Grigorios Tsoumakas, 2017, ArXiv.

Fuzzy Meta-Learning: Preliminary Results

Grigorios Tsoumakas, Ioannis Vlahavas, 2001 .

LionForests: Local Interpretation of Random Forests through Path Selection pdf

Grigorios Tsoumakas, Nick Bassiliades, Ioannis Mollas, 2019, ArXiv.

Large-Scale Semantic Indexing and Question Answering in Biomedicine

Grigorios Tsoumakas, Ioannis Vlahavas, Eirini Papagiannopoulou, 2016 .

On the Stratification of Multi-label Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Konstantinos Sechidis, 2011, ECML/PKDD.

HAPRC: an automatically configurable planning system

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2005, AI Commun..

Learning Rules for Adaptive Planning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2003, ICAPS.

Mining Multi-label Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2010, Data Mining and Knowledge Discovery Handbook.

Synthetic Oversampling of Multi-Label Data based on Local Label Distribution

Grigorios Tsoumakas, Bin Liu, 2019, ECML/PKDD.

Multi-label active learning: key issues and a novel query strategy

Yannis Papanikolaou, Grigorios Tsoumakas, Everton Alvares Cherman, 2017, Evolving Systems.

A review of keyphrase extraction

Grigorios Tsoumakas, Eirini Papagiannopoulou, Grigorios Tsoumakas, 2019, WIREs Data Mining Knowl. Discov..

Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2008, ECAI.

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2010, Machine Learning.

Clustering classifiers for knowledge discovery from physically distributed databases

Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2004, Data Knowl. Eng..

Machine Learning for Adaptive Planning

Grigorios Tsoumakas, Ioannis Vlahavas, Dimitris Vrakas, 2005 .

Multi-target regression via input space expansion: treating targets as inputs pdf

Grigorios Tsoumakas, Ioannis P. Vlahavas, William Groves, 2012, Machine Learning.

Word embeddings and external resources for answer processing in biomedical factoid question answering

Grigorios Tsoumakas, Dimitris Dimitriadis, 2019, J. Biomed. Informatics.

Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab

Grigorios Tsoumakas, Athanasios Lagopoulos, Adamantios Minas, 2018, CLEF.

Lefteris Angelis, Grigorios Tsoumakas, Ioannis Vlahavas, 2002 .

Random K-labelsets for Multilabel Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2022 .

Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification

Grigorios Tsoumakas, Myra Spiliopoulou, Ioannis P. Vlahavas, 2011, IJCAI.

Multi-label classification of music by emotion

Grigorios Tsoumakas, Ioannis P. Vlahavas, George Kalliris, 2011, EURASIP J. Audio Speech Music. Process..

Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech

Grigorios Tsoumakas, Ioannis Mollas, Antonios Anagnostou, 2018, IJCAI.

An Empirical Comparison of Methods for Multi-label Data Stream Classification

Grigorios Tsoumakas, Konstantina Karponi, 2016, INNS Conference on Big Data.

An Empirical Study of Lazy Multilabel Classification Algorithms

Grigorios Tsoumakas, Ioannis P. Vlahavas, Eleftherios Spyromitros Xioufis, 2008, SETN.

Multi-target regression via input space expansion: treating targets as inputs

Grigorios Tsoumakas, Ioannis P. Vlahavas, William Groves, 2012, Machine Learning.

A Divide-and-Conquer Approach to the Summarization of Long Documents

Grigorios Tsoumakas, Alexios Gidiotis, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Multi-target Regression via Random Linear Target Combinations pdf

Grigorios Tsoumakas, Ioannis P. Vlahavas, Eleftherios Spyromitros Xioufis, 2014, ECML/PKDD.

An adaptive personalized news dissemination system

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2009, Journal of Intelligent Information Systems.

Multi-label classification of music by emotion

Grigorios Tsoumakas, Ioannis Vlahavas, George Kalliris, 2011 .

A survey of machine learning techniques for food sales prediction

Grigorios Tsoumakas, Grigorios Tsoumakas, 2018, Artificial Intelligence Review.

Integrating Multiple Immunogenetic Data Sources For Feature Extraction and Mining Mutation Patterns

Grigorios Tsoumakas, Ioannis Kavakiotis, Ioanna Chouvarda, 2016 .

Instance-Based Ensemble Pruning via Multi-Label Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Fotini Markatopoulou, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Protein Classification with Multiple Algorithms

Grigorios Tsoumakas, Ioannis P. Vlahavas, Pericles A. Mitkas, 2005, Panhellenic Conference on Informatics.

Drawing Parallels between Multi-Label Classification and Multi-Target Regression

Grigorios Tsoumakas, Ioannis Vlachavas, Eleftherios Spyromitros-Xioufis, 2012 .

Land evaluation — an artificial intelligence approach

Grigorios Tsoumakas, Ioannis Vlahavas, Grigorios Tsoumakas, 2001 .

LionForests: local interpretation of random forests

Grigorios Tsoumakas, Ioannis Vlahavas, Nick Bassiliades, 2020, NeHuAI@ECAI.

Distributed Data Mining

Grigorios Tsoumakas, Grigorios Tsoumakas, 2009, Encyclopedia of Data Warehousing and Mining.

Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature Based on Weak Supervision

Grigorios Tsoumakas, Georgios Paliouras, Anastasia Krithara, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

A Knowledge-based Web Information System for the Federation of Distributed Classifiers

Grigorios Tsoumakas, Ioannis Vlahavas, Nick Bassiliades, 2004 .

Transferring task models in Reinforcement Learning agents

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2013, Neurocomputing.

An Ensemble Pruning Primer

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2009, Applications of Supervised and Unsupervised Ensemble Methods.

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2005, Panhellenic Conference on Informatics.

Multi-Label Classification of Music into Emotions

Grigorios Tsoumakas, Ioannis P. Vlahavas, George Kalliris, 2008, ISMIR.

Pruning an ensemble of classifiers via reinforcement learning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2009, Neurocomputing.

Towards adaptive Heuristic Planning through Machine Learning

Grigorios Tsoumakas, Ioannis Vlahavas, Dimitris Vrakas, 2002 .

Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company

Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2017, PCI.

Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of “towards analysis” in chronic lymphocytic leukaemia

Grigorios Tsoumakas, Ioanna Chouvarda, Nicos Maglaveras, 2016, BMC Bioinformatics.

Content-aware web robot detection

Grigorios Tsoumakas, Athanasios Lagopoulos, Grigorios Tsoumakas, 2020, Applied Intelligence.

A prediction model of passenger demand using AVL and APC data from a bus fleet

Grigorios Tsoumakas, Ioannis P. Vlahavas, Anestis Fachantidis, 2015, Panhellenic Conference on Informatics.

Multi-label machine learning algorithms for automated image annotation

Grigorios Tsoumakas, Konstantinos Sechidis, Grigorios Tsoumakas, 2011 .

Software Defect Prediction Using Regression via Classification

Ioannis Stamelos, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2006, IEEE International Conference on Computer Systems and Applications, 2006..

WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics

Grigorios Tsoumakas, Jan Svec, Weining Qian, 2014, WISE.

An empirical study on the combination of surf features with VLAD vectors for image search

Yiannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2012, 2012 13th International Workshop on Image Analysis for Multimedia Interactive Services.

WAMBy: An information retrieval approach to web-based question answering

Grigorios Tsoumakas, Christos Samarinas, 2018, SETN.

From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews pdf

Grigorios Tsoumakas, Athanasios Lagopoulos, Grigorios Tsoumakas, 2020, ArXiv.

Altruist: Argumentative Explanations through Local Interpretations of Predictive Models pdf

Grigorios Tsoumakas, Nick Bassiliades, Ioannis Mollas, 2020, ArXiv.

A Triple-Random Ensemble Classification Method for Mining Multi-label Data

Grigorios Tsoumakas, Abbas Z. Kouzani, Gulisong Nasierding, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Obtaining Bipartitions from Score Vectors for Multi-Label Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Marios Ioannou, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Multi-Label Classification: An Overview

Grigorios Tsoumakas, Ioannis Katakis, Grigorios Tsoumakas, 2007, Int. J. Data Warehous. Min..

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2008, ECAI.

Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors

Grigorios Tsoumakas, Stamatis Karlos, Nikolaos Mylonas, 2020, SETN.

Beyond MeSH: Fine-grained semantic indexing of biomedical literature based on weak supervision

Grigorios Tsoumakas, Georgios Paliouras, Anastasia Krithara, 2020, Inf. Process. Manag..

Making Classifier Chains Resilient to Class Imbalance pdf

Grigorios Tsoumakas, Bin Liu, Bin Liu, 2018, ACML.

Transferring experience in reinforcement learning through task decomposition

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2009, AAMAS.

Effective Stacking of Distributed Classifiers

Grigorios Tsoumakas, Ioannis P. Vlahavas, Grigorios Tsoumakas, 2002, ECAI.

Transferring Models in Hybrid Reinforcement Learning Agents

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2011, EANN/AIAI.

Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews

Grigorios Tsoumakas, Ioannis P. Vlahavas, Athanasios Lagopoulos, 2017, CLEF.

Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2014, CLEF.

What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus

Grigorios Tsoumakas, Georgios Paliouras, Anastasia Krithara, 2021 .

Hierarchical Partitioning of the Output Space in Multi-label Data pdf

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis Katakis, 2016, Data Knowl. Eng..

Evaluating Feature Selection Methods for Multi-Label Text Classication

Grigorios Tsoumakas, Newton Spolaôr, Grigorios Tsoumakas, 2013, BioASQ@CLEF.

Structured Summarization of Academic Publications pdf

Grigorios Tsoumakas, Alexios Gidiotis, Grigorios Tsoumakas, 2019, PKDD/ECML Workshops.

On Discovering Deterministic Relationships in Multi-Label Learning via Linked Open Data

Grigorios Tsoumakas, Nick Bassiliades, Eirini Papagiannopoulou, 2015, KNOW@LOD.

MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks

Grigorios Tsoumakas, Ioannis P. Vlahavas, Konstantinos Sechidis, 2011, CLEF.

E-mail Mining: Emerging Techniques for E-Mail Management

Grigorios Tsoumakas, Ioannis Vlahavas, Ioannis Katakis, 2006 .

Discovery Science: 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings

Stan Matwin, Grigorios Tsoumakas, Annalisa Appice, 2020, DS.

Dynamic ensemble pruning based on multi-label classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Fotini Markatopoulou, 2015, Neurocomputing.

Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting

Grigorios Tsoumakas, Ioannis P. Vlahavas, Anestis Fachantidis, 2016, SETN.

PASER: a curricula synthesis system based on automated problem solving

Grigorios Tsoumakas, Ioannis Vlahavas, Nick Bassiliades, 2007 .

Web Robot Detection in Academic Publishing pdf

Grigorios Tsoumakas, Athanasios Lagopoulos, Georgios Papadopoulos, 2017, ArXiv.

Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Kavakiotis, 2016, SETN.

Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2017, Journal of Biomedical Semantics.

Email Mining: Emerging Techniques for Email Management

Grigorios Tsoumakas, Ioannis Vlahavas, Ioannis Katakis, 2006 .

Using the k-Nearest Problems for Adaptive Multicriteria Planning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2004, SETN.

Clustering based multi-label classification for image annotation and retrieval

Grigorios Tsoumakas, Gulisong Nasierding, Abbas Z. Kouzani, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Dealing with class imbalance in classifier chains via random undersampling

Bin Liu, Grigorios Tsoumakas, Grigorios Tsoumakas, 2020, Knowl. Based Syst..

Improving Gibbs Sampling Predictions on Unseen Data for Latent Dirichlet Allocation

Yannis Papanikolaou, Timothy N. Rubin, Grigorios Tsoumakas, 2015 .

Discovering and Exploiting Entailment Relationships in Multi-Label Learning pdf

Grigorios Tsoumakas, Ioannis Tsamardinos, Christina Papagiannopoulou, 2014, ArXiv.

Large-Scale Semantic Indexing of Biomedical Publications

Grigorios Tsoumakas, Ioannis P. Vlahavas, Manos Laliotis, 2013, BioASQ@CLEF.

Multi-label Modality Classification for Figures in Biomedical Literature

Grigorios Tsoumakas, Athanasios Lagopoulos, Anestis Fachantidis, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

Selective fusion of heterogeneous classifiers

Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2005, Intell. Data Anal..

Treating Keywords as Outliers: A Keyphrase Extraction Approach

Grigorios Tsoumakas, Eirini Papagiannopoulou, Grigorios Tsoumakas, 2018, 1808.03712.

LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding pdf

Grigorios Tsoumakas, Ioannis Mollas, Nikolaos Bassiliades, 2019, PKDD/ECML Workshops.

Lazy Adaptive Multicriteria Planning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2004, ECAI.

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

Grigorios Tsoumakas, Lazaros S. Iliadis, Ioannis Vlahavas, 2009, AIAI.

Web Robot Detection: A Semantic Approach

Grigorios Tsoumakas, Athanasios Lagopoulos, Georgios Papadopoulos, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Tracking recurring contexts using ensemble classifiers: an application to email filtering

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2009, Knowledge and Information Systems.

Multi-label Learning Approaches for Music Instrument Recognition

Grigorios Tsoumakas, Ioannis P. Vlahavas, Eleftherios Spyromitros Xioufis, 2011, ISMIS.

Label Construction for Multi-label Feature Selection

Grigorios Tsoumakas, Newton Spolaôr, M. C. Monard, 2014, 2014 Brazilian Conference on Intelligent Systems.

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment

Grigorios Tsoumakas, Jed Irvine, Heikki Huttunen, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Yes/No Question Answering in BioASQ 2019

Grigorios Tsoumakas, Dimitris Dimitriadis, 2019, PKDD/ECML Workshops.

Unsupervised Keyphrase Extraction from Scientific Publications.

Grigorios Tsoumakas, Eirini Papagiannopoulou, 2018 .

Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification

Yannis Papanikolaou, Grigorios Tsoumakas, 2018, DaWaK.

Active Learning Algorithms for Multi-label Data

Grigorios Tsoumakas, Everton Alvares Cherman, Maria Carolina Monard, 2016, AIAI.

ETHOS: a multi-label hate speech detection dataset pdf

Grigorios Tsoumakas, Stamatis Karlos, Ioannis Mollas, 2020, Complex & Intelligent Systems.

Multi-Label Classification

Grigorios Tsoumakas, Ioannis Katakis, Grigorios Tsoumakas, 2009, Database Technologies: Concepts, Methodologies, Tools, and Applications.

Web Services for Adaptive Planning

Georgios Meditskos, Grigorios Tsoumakas, Ioannis Vlahavas, 2004 .

An empirical study on sea water quality prediction

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2008, Knowl. Based Syst..

Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning

Grigorios Tsoumakas, Ioannis Tsamardinos, Christina Papagiannopoulou, 2015, KDD.

A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval

Grigorios Tsoumakas, Ioannis Vlahavas, Symeon Papadopoulos, 2014, IEEE Transactions on Multimedia.

PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2006, OTM Conferences.

Introduction to the special issue on learning from multi-label data

Grigorios Tsoumakas, Zhi-Hua Zhou, Min-Ling Zhang, 2012, Machine Learning.

A systematic review of multi-label feature selection and a new method based on label construction

Grigorios Tsoumakas, Newton Spolaôr, M. C. Monard, 2016, Neurocomputing.

On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification

Georgios Meditskos, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2009, AIAI.

Unsupervised Keyphrase Extraction Based on Outlier Detection pdf

Grigorios Tsoumakas, Eirini Papagiannopoulou, 2018, ArXiv.

A Divide-and-Conquer Approach to the Summarization of Academic Articles pdf

Grigorios Tsoumakas, Alexios Gidiotis, Grigorios Tsoumakas, 2020, ArXiv.

Random k -Labelsets: An Ensemble Method for Multilabel Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Grigorios Tsoumakas, 2007, ECML.

Feature Evaluation Metrics for Population Genomic Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Kavakiotis, 2014, SETN.

An interoperable and scalable Web-based system for classifier sharing and fusion

Grigorios Tsoumakas, Ioannis P. Vlahavas, Grigorios Tsoumakas, 2007, Expert Syst. Appl..

Learning-to-Rank and Relevance Feedback for Literature Appraisal in Empirical Medicine

Grigorios Tsoumakas, Athanasios Lagopoulos, Adamantios Minas, 2018, CLEF.

AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20

Grigorios Tsoumakas, Stefanos Stefanidis, Alexios Gidiotis, 2020, SDP.

Branty: A Social Media Ranking Tool for Brands

Grigorios Tsoumakas, Athena Vakali, Alexandros Arvanitidis, 2014, ECML/PKDD.

MULAN: A Java Library for Multi-Label Learning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Eleftherios Spyromitros Xioufis, 2011, J. Mach. Learn. Res..

Effective Voting of Heterogeneous Classifiers

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2004, ECML.

Multi-Label Sampling based on Local Label Imbalance pdf

Bin Liu, Grigorios Tsoumakas, Konstantinos Blekas, 2020, Pattern Recognit..

Ensemble Pruning Using Reinforcement Learning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2006, SETN.

Local word vectors guiding keyphrase extraction

Grigorios Tsoumakas, Eirini Papagiannopoulou, Grigorios Tsoumakas, 2018, Inf. Process. Manag..

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

Grigorios Tsoumakas, Konstantinos Pliakos, Celine Vens, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery pdf

Grigorios Tsoumakas, Konstantinos Pliakos, Celine Vens, 2020, ArXiv.

Greedy regression ensemble selection: Theory and an application to water quality prediction

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2008, Inf. Sci..

Triple random ensemble method for multi-label classification

Grigorios Tsoumakas, Abbas Z. Kouzani, Gulisong Nasierding, 2010 .

Using multi-target feature evaluation to discover factors that affect business process behavior

Grigorios Tsoumakas, Daniela Grigori, Athanasios Lagopoulos, 2018, Comput. Ind..

Regression via Classification applied on software defect estimation

Ioannis Stamelos, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2008, Expert Syst. Appl..

Extracting Semantic Relationships in Greek Literary Texts

Grigorios Tsoumakas, Despina Christou, 2021, Sustainability.

Self-citation Analysis using Sentence Embeddings pdf

Grigorios Tsoumakas, Athanasios Lagopoulos, Grigorios Tsoumakas, 2021, ArXiv.

Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery pdf

Grigorios Tsoumakas, Konstantinos Pliakos, Celine Vens, 2021, Applied Intelligence.

What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus pdf

Grigorios Tsoumakas, Georgios Paliouras, Anastasia Krithara, 2021, International Journal on Digital Libraries.

Uncertainty-Aware Abstractive Summarization pdf

Grigorios Tsoumakas, Alexios Gidiotis, Grigorios Tsoumakas, 2021, ArXiv.

Improving Zero-Shot Entity Retrieval through Effective Dense Representations pdf

Grigorios Tsoumakas, Eleni Partalidou, Despina Christou, 2021, ArXiv.

Keyphrase Extraction from Scientific Articles via Extractive Summarization

Grigorios Tsoumakas, Eirini Papagiannopoulou, Chrysovalantis Giorgos Kontoulis, 2021, SDP.

Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing

Grigorios Tsoumakas, Stamatis Karlos, Nikolaos Mylonas, 2021, Pattern Recognit. Lett..

Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles

Grigorios Tsoumakas, Stamatis Karlos, Argyrios Vartholomaios, 2021, DEXA Workshops.

Bayesian Active Summarization pdf

Grigorios Tsoumakas, Alexios Gidiotis, Grigorios Tsoumakas, 2021, Comput. Speech Lang..

A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors

Grigorios Tsoumakas, Stamatis Karlos, Nikolaos Mylonas, 2021, AIME.

Conclusive local interpretation rules for random forests pdf

Grigorios Tsoumakas, Nick Bassiliades, Ioannis Mollas, 2021, Data Mining and Knowledge Discovery.

VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance

Grigorios Tsoumakas, Nick Bassiliades, Ioannis Mollas, 2021, IJCAI.

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

Grigorios Tsoumakas, Nick Bassiliades, Ioannis Mollas, 2021, Applied Intelligence.

Harvesting the Public MeSH Note field pdf

Grigorios Tsoumakas, Georgios Paliouras, Anastasia Krithara, 2021, ArXiv.

Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction pdf

Grigorios Tsoumakas, Bin Liu, Grigorios Tsoumakas, 2021, ArXiv.

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

Grigorios Tsoumakas, Dimitris Dimitriadis, Sofia Zapounidou, 2021, Sustainability.

Improving Distantly-Supervised Relation Extraction Through BERT-Based Label and Instance Embeddings

Grigorios Tsoumakas, Despina Christou, Grigorios Tsoumakas, 2021, IEEE Access.

ETHOS: a multi-label hate speech detection dataset

Grigorios Tsoumakas, Stamatis Karlos, Ioannis Mollas, 2020, Complex & Intelligent Systems.

Grigorios Tsoumakas, Apostolos N. Papadopoulos, Fragkiskos D. Malliaros, 2022, ArXiv.

Rule Induction for Automatic Configuration of Planning Systems

Grigorios Tsoumakas, Ioannis Vlahavas, Nick Bassiliades, 2003 .

Triple-Random Ensemble Multi-label Classification for Image to Text Translation

Grigorios Tsoumakas, Abbas Z. Kouzani, Gulisong Nasierding, 2010 .