Grigorios Tsoumakas

According to our database1, Grigorios Tsoumakas authored at least 120 papers between 2002 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings.
CoRR, 2021

What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus.
CoRR, 2021

2020
A review of keyphrase extraction.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2020

A Divide-and-Conquer Approach to the Summarization of Long Documents.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Dealing with class imbalance in classifier chains via random undersampling.
Knowl. Based Syst., 2020

Beyond MeSH: Fine-grained semantic indexing of biomedical literature based on weak supervision.
Inf. Process. Manag., 2020

Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery.
CoRR, 2020

From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews.
CoRR, 2020

Altruist: Argumentative Explanations through Local Interpretations of Predictive Models.
CoRR, 2020

Keywords lie far from the mean of all words in local vector space.
CoRR, 2020

ETHOS: an Online Hate Speech Detection Dataset.
CoRR, 2020

Multi-Label Sampling based on Local Label Imbalance.
CoRR, 2020

A Divide-and-Conquer Approach to the Summarization of Academic Articles.
CoRR, 2020

Content-aware web robot detection.
Appl. Intell., 2020

Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Studying the Evolution of Greek Words via Word Embeddings.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

LionForests: local interpretation of random forests.
Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019
Classifying Biomedical Figures by Modality via Multi-Label Learning.
IEEE J. Biomed. Health Informatics, 2019

Word embeddings and external resources for answer processing in biomedical factoid question answering.
J. Biomed. Informatics, 2019

Multi-label active learning: key issues and a novel query strategy.
Evol. Syst., 2019

LionForests: Local Interpretation of Random Forests through Path Selection.
CoRR, 2019

A survey of machine learning techniques for food sales prediction.
Artif. Intell. Rev., 2019

LioNets: Local Interpretation of Neural Networks Through Penultimate Layer Decoding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Synthetic Oversampling of Multi-label Data Based on Local Label Distribution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Structured Summarization of Academic Publications.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Yes/No Question Answering in BioASQ 2019.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Local word vectors guiding keyphrase extraction.
Inf. Process. Manag., 2018

Hierarchical partitioning of the output space in multi-label data.
Data Knowl. Eng., 2018

Unsupervised Keyphrase Extraction Based on Outlier Detection.
CoRR, 2018

Using multi-target feature evaluation to discover factors that affect business process behavior.
Comput. Ind., 2018

WAMBy: An information retrieval approach to web-based question answering.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Web Robot Detection: A Semantic Approach.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab.
Proceedings of the Working Notes of CLEF 2018, 2018

Learning-to-Rank and Relevance Feedback for Literature Appraisal in Empirical Medicine.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2018

Making Classifier Chains Resilient to Class Imbalance.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA.
J. Mach. Learn. Res., 2017

Web Robot Detection in Academic Publishing.
CoRR, 2017

Local Word Vectors Guide Keyphrase Extraction.
CoRR, 2017

Subset Labeled LDA for Large-Scale Multi-Label Classification.
CoRR, 2017

Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models.
J. Biomed. Semant., 2017

Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company.
Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017

Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews.
Proceedings of the Working Notes of CLEF 2017, 2017

Multi-label Modality Classification for Figures in Biomedical Literature.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
Multi-target regression via input space expansion: treating targets as inputs.
Mach. Learn., 2016

A systematic review of multi-label feature selection and a new method based on label construction.
Neurocomputing, 2016

Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia.
BMC Bioinform., 2016

Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

An Empirical Comparison of Methods for Multi-label Data Stream Classification.
Proceedings of the Advances in Big Data, 2016

Active Learning Algorithms for Multi-label Data.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015
Dynamic ensemble pruning based on multi-label classification.
Neurocomputing, 2015

A prediction model of passenger demand using AVL and APC data from a bus fleet.
Proceedings of the 19th Panhellenic Conference on Informatics, 2015

Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On Discovering Deterministic Relationships in Multi-Label Learning via Linked Open Data.
Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 12th Extended Semantic Web Conference (ESWC 2015), 2015

AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval.
IEEE Trans. Multim., 2014

Discovering and Exploiting Entailment Relationships in Multi-Label Learning.
CoRR, 2014

WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Feature Evaluation Metrics for Population Genomic Data.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Multi-target Regression via Random Linear Target Combinations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Branty: A Social Media Ranking Tool for Brands.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

Label Construction for Multi-label Feature Selection.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Transferring task models in Reinforcement Learning agents.
Neurocomputing, 2013

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Large-Scale Semantic Indexing of Biomedical Publications.
Proceedings of the first Workshop on Bio-Medical Semantic Indexing and Question Answering, 2013

Evaluating Feature Selection Methods for Multi-Label Text Classication.
Proceedings of the first Workshop on Bio-Medical Semantic Indexing and Question Answering, 2013

2012
Introduction to the special issue on learning from multi-label data.
Mach. Learn., 2012

Multi-Label Classification Methods for Multi-Target Regression
CoRR, 2012

An empirical study on the combination of surf features with VLAD vectors for image search.
Proceedings of the 13th International Workshop on Image Analysis for Multimedia Interactive Services, 2012

2011
Random k-Labelsets for Multilabel Classification.
IEEE Trans. Knowl. Data Eng., 2011

MULAN: A Java Library for Multi-Label Learning.
J. Mach. Learn. Res., 2011

Multi-label classification of music by emotion.
EURASIP J. Audio Speech Music. Process., 2011

On the Stratification of Multi-label Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Multi-label Learning Approaches for Music Instrument Recognition.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification.
Proceedings of the IJCAI 2011, 2011

Transferring Models in Hybrid Reinforcement Learning Agents.
Proceedings of the Engineering Applications of Neural Networks, 2011

MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks.
Proceedings of the CLEF 2011 Labs and Workshop, 2011

2010
Mining Multi-label Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning.
Mach. Learn., 2010

Tracking recurring contexts using ensemble classifiers: an application to email filtering.
Knowl. Inf. Syst., 2010

Instance-Based Ensemble Pruning via Multi-Label Classification.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Obtaining Bipartitions from Score Vectors for Multi-Label Classification.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

A Triple-Random Ensemble Classification Method for Mining Multi-label Data.
Proceedings of the ICDMW 2010, 2010

2009
An Ensemble Pruning Primer.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Distributed Data Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

An adaptive personalized news dissemination system.
J. Intell. Inf. Syst., 2009

Pruning an ensemble of classifiers via reinforcement learning.
Neurocomputing, 2009

Clustering Based Multi-Label Classification for Image Annotation and Retrieval.
Proceedings of the IEEE International Conference on Systems, 2009

On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

An Empirical Study of Multi-label Learning Methods for Video Annotation.
Proceedings of the Seventh International Workshop on Content-Based Multimedia Indexing, 2009

Transferring experience in reinforcement learning through task decomposition.
Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Distributed Data Mining.
Proceedings of the Database Technologies: Concepts, 2009

Multi-Label Classification.
Proceedings of the Database Technologies: Concepts, 2009

2008
An empirical study on sea water quality prediction.
Knowl. Based Syst., 2008

Greedy regression ensemble selection: Theory and an application to water quality prediction.
Inf. Sci., 2008

Regression via Classification applied on software defect estimation.
Expert Syst. Appl., 2008

An Empirical Study of Lazy Multilabel Classification Algorithms.
Proceedings of the Artificial Intelligence: Theories, 2008

Multi-Label Classification of Music into Emotions.
Proceedings of the ISMIR 2008, 2008

Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection.
Proceedings of the ECAI 2008, 2008

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams.
Proceedings of the ECAI 2008, 2008

2007
Multi-Label Classification: An Overview.
Int. J. Data Warehous. Min., 2007

An interoperable and scalable Web-based system for classifier sharing and fusion.
Expert Syst. Appl., 2007

Random <i>k</i> -Labelsets: An Ensemble Method for Multilabel Classification.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Ensemble Pruning Using Reinforcement Learning.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering.
Proceedings of the On the Move to Meaningful Internet Systems 2006: CoopIS, 2006

Software Defect Prediction Using Regression via Classification.
Proceedings of the 2006 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2006), 2006

2005
Selective fusion of heterogeneous classifiers.
Intell. Data Anal., 2005

HAPRC: an automatically configurable planning system.
AI Commun., 2005

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams.
Proceedings of the Advances in Informatics, 2005

Protein Classification with Multiple Algorithms.
Proceedings of the Advances in Informatics, 2005

2004
Clustering classifiers for knowledge discovery from physically distributed databases.
Data Knowl. Eng., 2004

Using the k-Nearest Problems for Adaptive Multicriteria Planning.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004

Effective Voting of Heterogeneous Classifiers.
Proceedings of the Machine Learning: ECML 2004, 2004

Lazy Adaptive Multicriteria Planning.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Learning Rules for Adaptive Planning.
Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003

2002
Effective Stacking of Distributed Classifiers.
Proceedings of the 15th Eureopean Conference on Artificial Intelligence, 2002


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