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Computer Science

D-Index
38
Citations
6955
World Ranking
10151
National Ranking
305

Overview

Floriana Esposito is affiliated with the University of Bari Aldo Moro in Italy. Their research spans several interdisciplinary areas intersecting sports science, psychology, and genetics.

Their publication record includes recent papers such as:

  • Enhancing Focus and Short Reaction Time in Épée Fencing: The Power of the Science Vision Training Academy System, 2024, Journal of Functional Morphology and Kinesiology
  • Before Words. Music and Its Natural History, 2024, De Musica

Esposito frequently collaborates with the following co-authors:

  • Giulia Di Martino
  • Stefano Giommoni
  • De Grandi Alessandro
  • Carlo della Valle
  • Enzo Iuliano

Their scholarly work appears primarily in these venues:

  • Journal of Functional Morphology and Kinesiology
  • De Musica

Esposito's research integrates knowledge from several subfields, including:

  • Orthopedics and Sports Medicine
  • Developmental and Educational Psychology
  • Genetics

Their main topics of study focus on:

  • Sports Performance and Training
  • Sport Psychology and Performance
  • Genetics and Physical Performance

Overall, Floriana Esposito's work addresses key facets of athletic and cognitive performance, combining insights from psychological development, physical conditioning, and genetic factors to understand and potentially enhance human abilities in sports contexts.

Best Publications

  • A comparative analysis of methods for pruning decision trees

    F. Esposito;D. Malerba;G. Semeraro;J. Kay

  • Machine Learning, ECML 2004

    Jean-François Boulicaut;Floriana Esposito;Fosca Giannotti;Dino Pedreschi

  • Knowledge Discovery in Databases: PKDD 2004

    Jean-François Boulicaut;Floriana Esposito;Fosca Giannotti;Dino Pedreschi

  • DL-FOIL Concept Learning in Description Logics

    Nicola Fanizzi;Claudia D'Amato;Floriana Esposito

  • Transforming paper documents into XML format with WISDOM

    Oronzo Altamura;Floriana Esposito;Donato Malerba

  • A logic framework for the incremental inductive synthesis of Datalog theories

    G. Semeraro;F. Esposito;D. Malerba;N. Fanizzi

  • Top-down induction of model trees with regression and splitting nodes

    D. Malerba;F. Esposito;M. Ceci;A. Appice

  • An introduction to symbolic data analysis and the SODAS software

    Edwin Diday;Floriana Esposito

  • MULTISTRATEGY LEARNING FOR DOCUMENT RECOGNITION

    Floriana Esposito;Donato Malerba;Giovanni Semeraro

  • Multistrategy Theory Revision: Induction and Abductionin INTHELEX

    Floriana Esposito;Giovanni Semeraro;Nicola Fanizzi;Stefano Ferilli

  • Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning

    Antonio Vergari;Nicola Di Mauro;Floriana Esposito

  • Query answering and ontology population: an inductive approach

    Claudia d'Amato;Nicola Fanizzi;Floriana Esposito

  • Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

    Alejandro Molina;Antonio Vergari;Nicola Di Mauro;Sriraam Natarajan

  • An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization

    F. Esposito;D. Malerba;G. Semeraro;E. Annese

  • A Semantic Similarity Measure for Expressive Description Logics

    Claudia d'Amato;Nicola Fanizzi;Floriana Esposito

  • Mining spatial association rules in census data

    Donato Malerba;Floriana Esposito;Francesca A. Lisi;Annalisa Appice

  • Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation

    F. Esposito;D. Malerba;G. Semeraro;S. Ferilli

  • Comparing Dissimilarity Measures for Symbolic Data Analysis

    Donato Malerba;Floriana Esposito;Vincenzo Gioviale;Valentina Tamma

  • A dissimilarity measure for ALC concept descriptions

    Claudia d'Amato;Nicola Fanizzi;Floriana Esposito

  • Conceptual clustering and its application to concept drift and novelty detection

    Nicola Fanizzi;Claudia d'Amato;Floriana Esposito

Frequent Co-Authors

Donato Malerba
Donato Malerba University of Bari Aldo Moro
Giovanni Semeraro
Giovanni Semeraro University of Bari Aldo Moro
Michelangelo Ceci
Michelangelo Ceci University of Bari Aldo Moro
Pasquale Lops
Pasquale Lops University of Bari Aldo Moro
Toon Calders
Toon Calders University of Antwerp
Jean-François Boulicaut
Jean-François Boulicaut Institut National des Sciences Appliquées de Lyon
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Dino Pedreschi
Dino Pedreschi University of Pisa
Maria Francesca Costabile
Maria Francesca Costabile University of Bari Aldo Moro

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