Mauro Castelli
AuthID: R-004-PAD
21
TITLE: Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent
AUTHORS: Federico Julian Camerota Verdù; Gloria Pietropolli; Luca Manzoni; Mauro Castelli;
PUBLISHED: 2023, SOURCE: GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion
AUTHORS: Federico Julian Camerota Verdù; Gloria Pietropolli; Luca Manzoni; Mauro Castelli;
PUBLISHED: 2023, SOURCE: GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion
INDEXED IN: Scopus
IN MY: ORCID
22
TITLE: Object Detection in Medical Imaging: A Quantitative and Qualitative Analysis of the Scientific Research (Preprint)
AUTHORS: Carina Albuquerque; Roberto Henriques; Mauro Castelli;
PUBLISHED: 2023
AUTHORS: Carina Albuquerque; Roberto Henriques; Mauro Castelli;
PUBLISHED: 2023
23
TITLE: Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent.
AUTHORS: Gloria Pietropolli; Federico Julian Camerota Verdù; Luca Manzoni; Mauro Castelli;
PUBLISHED: 2023, SOURCE: Proceedings of the Companion Conference on Genetic and Evolutionary Computation
AUTHORS: Gloria Pietropolli; Federico Julian Camerota Verdù; Luca Manzoni; Mauro Castelli;
PUBLISHED: 2023, SOURCE: Proceedings of the Companion Conference on Genetic and Evolutionary Computation
24
TITLE: Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks
AUTHORS: Frederico J.J.B Santos; Ivo Gonçalves; Mauro Castelli;
PUBLISHED: 2023, SOURCE: Applied Soft Computing, VOLUME: 147
AUTHORS: Frederico J.J.B Santos; Ivo Gonçalves; Mauro Castelli;
PUBLISHED: 2023, SOURCE: Applied Soft Computing, VOLUME: 147
25
TITLE: Salp Swarm Optimization: A critical review
AUTHORS: Castelli, M; Manzoni, L; Mariot, L; Nobile, MS; Tangherloni, A;
PUBLISHED: 2022, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 189
AUTHORS: Castelli, M; Manzoni, L; Mariot, L; Nobile, MS; Tangherloni, A;
PUBLISHED: 2022, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 189
26
TITLE: Structural similarity index (SSIM) revisited: A data-driven approach
AUTHORS: Bakurov, I; Buzzelli, M; Schettini, R; Castelli, M; Vanneschi, L;
PUBLISHED: 2022, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 189
AUTHORS: Bakurov, I; Buzzelli, M; Schettini, R; Castelli, M; Vanneschi, L;
PUBLISHED: 2022, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 189
27
TITLE: A novel binary classification approach based on geometric semantic genetic programming Full Text
AUTHORS: Bakurov, I; Castelli, M.; Fontanella, F.; di Freca, A. Scotto; Vanneschi, L.;
PUBLISHED: 2022, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 69
AUTHORS: Bakurov, I; Castelli, M.; Fontanella, F.; di Freca, A. Scotto; Vanneschi, L.;
PUBLISHED: 2022, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 69
INDEXED IN: Scopus WOS
IN MY: ORCID
28
TITLE: Machine learning for liquidity risk modelling: A supervisory perspective
AUTHORS: Guerra, Pedro; Castelli, Mauro; Corte Real, Nadine;
PUBLISHED: 2022, SOURCE: ECONOMIC ANALYSIS AND POLICY, VOLUME: 74
AUTHORS: Guerra, Pedro; Castelli, Mauro; Corte Real, Nadine;
PUBLISHED: 2022, SOURCE: ECONOMIC ANALYSIS AND POLICY, VOLUME: 74
29
TITLE: Approaching European Supervisory Risk Assessment with SupTech: A Proposal of an Early Warning System
AUTHORS: Guerra, Pedro; Castelli, Mauro; Corte Real, Nadine;
PUBLISHED: 2022, SOURCE: RISKS, VOLUME: 10, ISSUE: 4
AUTHORS: Guerra, Pedro; Castelli, Mauro; Corte Real, Nadine;
PUBLISHED: 2022, SOURCE: RISKS, VOLUME: 10, ISSUE: 4
30
TITLE: Fighting Over-Indebtedness: An Artificial Intelligence Approach: An Abstract
AUTHORS: Mário Ferreira; Diego Costa Pinto; Márcia Maurer Herter; Jerônimo Soro; Leonardo Vanneschi; Mauro Castelli; Fernando Peres;
PUBLISHED: 2022, SOURCE: Developments in Marketing Science: Proceedings of the Academy of Marketing Science
AUTHORS: Mário Ferreira; Diego Costa Pinto; Márcia Maurer Herter; Jerônimo Soro; Leonardo Vanneschi; Mauro Castelli; Fernando Peres;
PUBLISHED: 2022, SOURCE: Developments in Marketing Science: Proceedings of the Academy of Marketing Science