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Computer Science

D-Index
39
Citations
6913
World Ranking
9719
National Ranking
26

Overview

Leonardo Vanneschi is affiliated with Universidade Nova de Lisboa in Portugal and has a research focus within the domain of Computer Science, with a particular emphasis on Artificial Intelligence. Their body of work encompasses various subfields including Molecular Biology, Computer Vision and Pattern Recognition, Genetics, and Radiology, Nuclear Medicine and Imaging.

Their research predominantly revolves around several key topics:

  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Viral Infectious Diseases and Gene Expression in Insects
  • Machine Learning and Data Classification
  • Advanced Multi-Objective Optimization Algorithms
  • Neural Networks and Applications
  • Genetic Mapping and Diversity in Plants and Animals

Leonardo Vanneschi has contributed to several recent papers, with topics spanning from image quality assessment to applications of artificial intelligence in social and environmental domains. Notable recent publications include:

  • Structural similarity index (SSIM) revisited: A data-driven approach (2021), Expert Systems with Applications
  • A Machine Learning Approach to Predict Air Quality in California (2020), Complexity
  • Using artificial intelligence to overcome over-indebtedness and fight poverty (2020), Journal of Business Research
  • A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI (2023), Cancers
  • Improving Land Cover Classification Using Genetic Programming for Feature Construction (2021), Remote Sensing

The scientist frequently collaborates with a group of co-authors, indicating a substantial network within their research community. These collaborators include Sara Silva, Mauro Castelli, Davide Farinati, Mario Giacobini, and Illya Bakurov.

In terms of publication venues, Leonardo Vanneschi's work is often presented in outlets related to evolutionary computation and computer science including:

  • Genetic Programming and Evolvable Machines
  • Swarm and Evolutionary Computation
  • SN Computer Science
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Preprints.org

They have also contributed to book publications, with titles published by Springer Science+Business Media and Universidade Nova de Lisboa. These include:

  • Artificial Life and Evolutionary Computation (2023)
  • Lectures on Intelligent Systems (2023)
  • Machine Learning for Survival Prediction in Breast Cancer (2021)
  • Understanding over-indebtedness in Portugal: descriptive and predictive models. (2021)

Best Publications

  • Structural similarity index (SSIM) revisited: A data-driven approach

    Illya Bakurov;Marco Buzzelli;Raimondo Schettini;Mauro Castelli

  • Genetic programming needs better benchmarks

    James McDermott;David R. White;Sean Luke;Luca Manzoni

  • Open issues in genetic programming

    Michael O'Neill;Leonardo Vanneschi;Steven Gustafson;Wolfgang Banzhaf

  • A Machine Learning Approach to Predict Air Quality in California

    Mauro Castelli;Fabiana Martins Clemente;Aleš Popovič;Aleš Popovič;Sara Silva

  • A survey of semantic methods in genetic programming

    Leonardo Vanneschi;Mauro Castelli;Sara Silva

  • An Empirical Study of Multipopulation Genetic Programming

    Francisco Fernández;Marco Tomassini;Leonardo Vanneschi

  • Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators

    Mauro Castelli;Mauro Castelli;Leonardo Vanneschi;Leonardo Vanneschi;Sara Silva

  • A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming

    Marco Tomassini;Leonardo Vanneschi;Philippe Collard;Manuel Clergue

  • Measuring bloat, overfitting and functional complexity in genetic programming

    Leonardo Vanneschi;Mauro Castelli;Sara Silva

  • Prediction of energy performance of residential buildings: a genetic programming approach

    Mauro Castelli;Leonardo Trujillo;Leonardo Vanneschi;Aleš Popovič;Aleš Popovič

  • A C++ framework for geometric semantic genetic programming

    Mauro Castelli;Sara Silva;Leonardo Vanneschi

  • A new implementation of geometric semantic GP and its application to problems in pharmacokinetics

    Leonardo Vanneschi;Mauro Castelli;Luca Manzoni;Sara Silva

  • Predicting burned areas of forest fires: an artificial intelligence approach.

    Mauro Castelli;Leonardo Vanneschi;Aleš Popovič;Aleš Popovič

  • Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction

    Sanjeevan Shrestha;Leonardo Vanneschi

  • Geometric Semantic Genetic Programming for Real Life Applications

    Leonardo Vanneschi;Leonardo Vanneschi;Leonardo Vanneschi;Sara Silva;Sara Silva;Mauro Castelli;Mauro Castelli;Luca Manzoni

  • Genetic programming for computational pharmacokinetics in drug discovery and development

    Francesco Archetti;Stefano Lanzeni;Enza Messina;Leonardo Vanneschi

  • Theory and practice for efficient genetic programming

    L. Vanneschi

  • Multilayer Perceptrons

    Unknown

  • Fitness Clouds and Problem Hardness in Genetic Programming

    Leonardo Vanneschi;Manuel Clergue;Philippe Collard;Marco Tomassini

  • Theoretical results in genetic programming: the next ten years?

    Riccardo Poli;Leonardo Vanneschi;William B. Langdon;Nicholas Freitag Mcphee

  • An artificial intelligence system for predicting customer default in e-commerce

    Leonardo Vanneschi;David Micha Horn;Mauro Castelli;Aleš Popovič;Aleš Popovič

  • Negative slope coefficient: a measure to characterize genetic programming fitness landscapes

    Leonardo Vanneschi;Marco Tomassini;Philippe Collard;Sébastien Vérel

Frequent Co-Authors

Sara Silva
Sara Silva University of Lisbon
Marco Tomassini
Marco Tomassini University of Lausanne
Giancarlo Mauri
Giancarlo Mauri University of Milano-Bicocca
Raimondo Schettini
Raimondo Schettini University of Milano-Bicocca
Paolo Provero
Paolo Provero University of Turin
Riccardo Poli
Riccardo Poli University of Essex
Simone Bianco
Simone Bianco University of Milano-Bicocca
Michael O'Neill
Michael O'Neill University College Dublin
Jason H. Moore
Jason H. Moore University of Pennsylvania
Lee Spector
Lee Spector Hampshire College

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