1
TITLE: A survey on batch training in genetic programming
AUTHORS: Rosenfeld, Liah; Vanneschi, Leonardo;
PUBLISHED: 2025, SOURCE: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, VOLUME: 26, ISSUE: 1
INDEXED IN: Scopus WOS
2
TITLE: Understanding Residential Address Patterns in Urban and Rural Areas: A Machine Learning Approach  Full Text
AUTHORS: Cruz, Paula; Vanneschi, Leonardo; Painho, Marco;
PUBLISHED: 2025, SOURCE: TRANSACTIONS IN GIS, VOLUME: 29, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
3
TITLE: Exploring Non-bloating Geometric Semantic Genetic Programming
AUTHORS: Leonardo Vanneschi; Davide Farinati; Diogo Rasteiro; Liah Rosenfeld; Gloria Pietropolli; Sara Silva;
PUBLISHED: 2025, SOURCE: Genetic and Evolutionary Computation - Genetic Programming Theory and Practice XXI
INDEXED IN: CrossRef
IN MY: ORCID
4
TITLE: Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods
AUTHORS: Luigi Rovito; Lorenzo Bonin; Davide Farinati; Leonardo Vanneschi; Luca Manzoni; Andrea De Lorenzo; Gloria Pietropolli;
PUBLISHED: 2025, SOURCE: 28th European Conference on Genetic Programming, EuroGP 2025, Held as Part of EvoStar 2025 in Lecture Notes in Computer Science, VOLUME: 15609 LNCS
INDEXED IN: Scopus CrossRef
IN MY: ORCID
5
TITLE: A Survey of Modern Hybrid Particle Swarm Optimization Algorithms
AUTHORS: Matteo Grazioso; Chiara Gallese; Leonardo Vanneschi; Marco Nobile;
PUBLISHED: 2025, SOURCE: 28th European Conference on Applications of Evolutionary Computation, EvoApplications 2025, held as part of EvoStar 2025 in Lecture Notes in Computer Science, VOLUME: 15613 LNCS
INDEXED IN: Scopus CrossRef
IN MY: ORCID
6
TITLE: Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector  Full Text
AUTHORS: Rodrigues, Nuno M.; de Almeida, Jose Guilherme; Verde, Ana Sofia Castro; Gaivao, Ana Mascarenhas; Bireiro, Carlos; Santiago, Ines; Ip, Joana; Beliao, Sara; Matos, Celso; Vanneschi, Leonardo; Tsiknakis, Manolis; Marias, Kostas; Regge, Daniele; Silva, Sara; Papanikolaou, Nickolas;
PUBLISHED: 2025, SOURCE: SCIENTIFIC REPORTS, VOLUME: 15, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
7
TITLE: Introducing Crossover in SLIM-GSGP
AUTHORS: Gloria Pietropolli; Davide Farinati; Luca Manzoni; Mauro Castelli; Sara Silva; Leonardo Vanneschi;
PUBLISHED: 2025, SOURCE: 28th European Conference on Genetic Programming, EuroGP 2025, Held as Part of EvoStar 2025 in Lecture Notes in Computer Science, VOLUME: 15609 LNCS
INDEXED IN: Scopus CrossRef
IN MY: ORCID
8
TITLE: Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP
AUTHORS: Davide Farinati; Gloria Pietropolli; Leonardo Vanneschi;
PUBLISHED: 2025, SOURCE: 28th European Conference on Genetic Programming, EuroGP 2025, Held as Part of EvoStar 2025 in Lecture Notes in Computer Science, VOLUME: 15609 LNCS
INDEXED IN: Scopus CrossRef
IN MY: ORCID
9
TITLE: An Empirical Study of GM4OS for Imbalanced Binary Classification
AUTHORS: Davide Farinati; Leonardo Vanneschi;
PUBLISHED: 2025, SOURCE: SN Computer Science, VOLUME: 6, ISSUE: 5
INDEXED IN: Scopus CrossRef
IN MY: ORCID
10
TITLE: Slim_gsgp: A Python Library for Non-Bloating GSGP
AUTHORS: Liah Rosenfeld; Davide Farinati; Diogo Rasteiro; Gloria Pietropolli; Karina Rebuli; Sara Silva; Leonardo Vanneschi;
PUBLISHED: 2025, SOURCE: Proceedings of the Genetic and Evolutionary Computation Conference
INDEXED IN: CrossRef
IN MY: ORCID
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