World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7105
World Ranking
7268
National Ranking
93

Overview

Hugues Bersini is affiliated with the Université Libre de Bruxelles in Belgium. Their research spans across Medicine and Computer Science, focusing primarily on cardiology and cardiovascular medicine and artificial intelligence within these domains.

Their research contributions prominently address areas such as ECG monitoring and analysis, atrial fibrillation management and outcomes, heart rate variability and autonomic control, and cardiac electrophysiology and arrhythmias. They also have work related to cloud computing and resource management, advanced database systems and queries, and evolutionary algorithms and applications.

Bersini has published several papers, including:

  • Autonomic nervous system assessment using heart rate variability (2023) in Acta cardiologica. Supplementum
  • Role of the autonomic nervous system and premature atrial contractions in short-term paroxysmal atrial fibrillation forecasting: Insights from machine learning models (2022) in Archives of cardiovascular diseases
  • IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database (2023) in Scientific Data
  • Automatic configuration of the Cassandra database using irace (2021) in PeerJ Computer Science
  • Ant: a process aware annotation software for regulatory compliance (2023) in Artificial Intelligence and Law

Frequently collaborating coauthors include:

  • Cédric Gilon
  • Stéphane Carlier
  • Jean-Marie Grégoire
  • Pascal Francq
  • Nicolas van Zeebroeck

The venues where Bersini most often publishes include:

  • Archives of cardiovascular diseases
  • Scientific Data
  • Archives of Cardiovascular Diseases Supplements
  • European Heart Journal
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Best Publications

  • A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

    C. Lazar;J. Taminau;S. Meganck;D. Steenhoff

  • Batch effect removal methods for microarray gene expression data integration: a survey

    Cosmin Lazar;Stijn Meganck;Jonatan Taminau;David Steenhoff

  • Lazy learning for local modelling and control design

    Gianluca Bontempi;Mauro Birattari;Hugues Bersini

  • Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways

    J.-M. Renders;H. Bersini

  • Hints for Adaptive Problem Solving Gleaned from Immune Networks

    Hugues Bersini;Francisco Varela

  • Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages

    Jonatan Taminau;Stijn Meganck;Cosmin Lazar;David Steenhoff

  • Default Cascades in Complex Networks: Topology and Systemic Risk

    Tarik Roukny;Hugues Bersini;Hugues Pirotte;Guido Caldarelli

  • Emergence of homochirality in far-from-equilibrium systems: mechanisms and role in prebiotic chemistry.

    Raphaël Plasson;Dilip K. Kondepudi;Hugues Bersini;Auguste A. Commeyras

  • Separation of samples into their constituents using gene expression data

    D Venet;F Pecasse;Carine Maenhaut;Hugues Bersini

  • Long and Short-Term Recommendations with Recurrent Neural Networks

    Robin Devooght;Hugues Bersini

  • Results of the first international contest on evolutionary optimisation (1st ICEO)

    H. Bersini;M. Dorigo;S. Langerman;G. Seront

  • CONDOR, a new parallel, constrained extension of Powell's UOBYQA algorithm: experimental results and comparison with the DFO algorithm

    Frank Vanden Berghen;Hugues Bersini

  • The Immune Recruitment Mechanism: A Selective Evolutionary Strategy

    Hugues Bersini;Francisco Varela;Richard K. Belew;Lashon B. Booker

  • Recycling Frank: Spontaneous emergence of homochirality in noncatalytic systems

    Raphaël Plasson;Hugues Bersini;Auguste A. Commeyras

  • Asynchrony induces stability in cellular automata based models

    Hugues Bersini;Vincent Detours;Rodney A. Brooks;Pattie Maes

  • Lazy Learning Meets the Recursive Least Squares Algorithm

    Mauro Birattari;Gianluca Bontempi;Hugues Bersini

  • A comparison of Q-learning and classifier systems

    Marco Dorigo;Hugues Bersini

  • Recurrent fuzzy systems

    V. Gorrini;H. Bersini

  • UML for ABM

    Hugues Bersini

  • The local paradigm for modeling and control: from neuro-fuzzy to lazy learning

    Gianluca Bontempi;Hugues Bersini;Mauro Birattari

  • Results of the First International Contest on Evolutionary Optimisation

    Hugues Bersini;Marco Dorigo;Stefan Langerman;Grégory Seront

Frequent Co-Authors

Gianluca Bontempi
Gianluca Bontempi Université Libre de Bruxelles
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles
Francisco C. Santos
Francisco C. Santos Instituto Superior Técnico
Ann Nowé
Ann Nowé Vrije Universiteit Brussel
Francisco J. Varela
Francisco J. Varela Centre national de la recherche scientifique, CNRS
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Carine Maenhaut
Carine Maenhaut Université Libre de Bruxelles
David Klatzmann
David Klatzmann Sorbonne University
Luca Maria Gambardella
Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research
Axel Brandenburg
Axel Brandenburg Nordic Institute for Theoretical Physics

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