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Computer Science

D-Index
45
Citations
8560
World Ranking
7186
National Ranking
48

Overview

Georgios Paliouras is affiliated with the National Centre of Scientific Research Demokritos in Greece. Their work spans across multiple disciplines, notably within Computer Science and Biochemistry, Genetics, and Molecular Biology. The primary research focus includes artificial intelligence applications and molecular biology, with specific emphases in several subfields such as Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications, and Information Systems.

Their research integrates topics that cover Biomedical Text Mining and Ontologies, Topic Modeling, Bioinformatics and Genomic Networks, Computational Drug Discovery Methods, Semantic Web and Ontologies, Advanced Graph Neural Networks, and Logic, Reasoning, and Knowledge.

Georgios Paliouras has contributed to various scientific publications. Some of their recent papers include:

  • CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning (2022, Nucleic Acids Research)
  • FiNER: Financial Numeric Entity Recognition for XBRL Tagging (2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics - Volume 1: Long Papers)
  • BioASQ-QA: A manually curated corpus for Biomedical Question Answering (2023, Scientific Data)
  • Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities (2022, Journal of Web Semantics)
  • Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records (2022, BMC Medical Informatics and Decision Making)

Their frequent collaborators include Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, Alexander Artikis, and Martin Krallinger, with collaboration counts ranging from 14 to 37 coauthored works.

Georgios has published extensively in notable venues, with the highest number of publications in arXiv (Cornell University), followed by Zenodo (CERN European Organization for Nuclear Research), bioRxiv (Cold Spring Harbor Laboratory), Applied Intelligence, and Machine Learning.

Best Publications

  • Spam Filtering with Naive Bayes - Which Naive Bayes?

    Vangelis Metsis;Ion Androutsopoulos;Georgios Paliouras

  • Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach

    Ion Androutsopoulos;Georgios Paliouras;Vangelis Karkaletsis;Georgios Sakkis

  • Web Usage Mining as a Tool for Personalization: A Survey

    Dimitrios Pierrakos;Georgios Paliouras;Christos Papatheodorou;Constantine D. Spyropoulos

  • An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

    George Tsatsaronis;Georgios Balikas;Prodromos Malakasiotis;Ioannis Partalas

  • A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists

    Georgios Sakkis;Ion Androutsopoulos;Georgios Paliouras;Vangelis Karkaletsis

  • Ontology population and enrichment: state of the art

    Georgios Petasis;Vangelis Karkaletsis;Georgios Paliouras;Anastasia Krithara

  • Stacking classifiers for anti-spam filtering of e-mail

    Georgios Sakkis;Ion Androutsopoulos;Georgios Paliouras;Vangelis Karkaletsis

  • Learning to Filter Unsolicited Commercial E-Mail

    Ion Androutsopoulos;Georgios Paliouras;Eirinaios Michelakis;E. Michelakis

  • Evaluation measures for hierarchical classification: a unified view and novel approaches

    Aris Kosmopoulos;Ioannis Partalas;Eric Gaussier;Georgios Paliouras

  • Machine Learning and Its Applications

    Georgios Paliouras;Vangelis Karkaletsis;Constantine D. Spyropoulos

  • An Event Calculus for Event Recognition

    Alexander Artikis;Marek Sergot;Georgios Paliouras

  • Combining Information Extraction Systems Using Voting and Stacked Generalization

    Georgios Sigletos;Georgios Paliouras;Constantine D. Spyropoulos;Michalis Hatzopoulos

  • Clustering the Users of Large Web Sites into Communities

    Georgios Paliouras;Christos Papatheodorou;Vangelis Karkaletsis;Constantine D. Spyropoulos

  • Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems

    Georgios Petasis;Frantz Vichot;Francis Wolinski;Georgios Paliouras

  • Review: logic-based event recognition

    Alexander Artikis;Anastasios Skarlatidis;François Portet;Georgios Paliouras

  • A Probabilistic Logic Programming Event Calculus

    Anastasios Skarlatidis;Alexander Artikis;Jason Filippou;Georgios Paliouras

  • BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.

    George Tsatsaronis;Michael Schroeder;Georgios Paliouras;Yannis Almirantis

  • Exploiting learning techniques for the acquisition of user stereotypes and communities

    Georgios Paliouras;Vangelis Karkaletisis;Christos Papatheodorou;Constantine D. Spyropoulos

  • Incremental learning of event definitions with Inductive Logic Programming

    Nikos Katzouris;Alexander Artikis;Georgios Paliouras

  • Filtron: A Learning-Based Anti-Spam Filter

    Eirinaios Michelakis;Ion Androutsopoulos;Georgios Paliouras;Georgios Sakkis

  • Probabilistic Event Calculus for Event Recognition

    Anastasios Skarlatidis;Georgios Paliouras;Alexander Artikis;George A. Vouros

Frequent Co-Authors

Alexander Artikis
Alexander Artikis University of Piraeus
Ion Androutsopoulos
Ion Androutsopoulos Athens University of Economics and Business
Martin Krallinger
Martin Krallinger Barcelona Supercomputing Center
George Tsatsaronis
George Tsatsaronis Technical University of Berlin
Marek Sergot
Marek Sergot Imperial College London
Grigorios Tsoumakas
Grigorios Tsoumakas Aristotle University of Thessaloniki
Stavros J. Perantonis
Stavros J. Perantonis Demokritos National Centre for Scientific Research
Eric Gaussier
Eric Gaussier Grenoble Alpes University
Ioannis A. Kakadiaris
Ioannis A. Kakadiaris University of Houston
Chris Baber
Chris Baber University of Birmingham

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