Leonardo Vanneschi


AuthID: R-001-Q26

Publicações Confirmadas: 24



1
TÍTULO: A hybrid genetic algorithm for the repetition free longest common subsequence problem  Full Text
AUTORES: Mauro Castelli; Stefano Beretta; Leonardo Vanneschi ;
PUBLICAÇÃO: 2013, FONTE: OPERATIONS RESEARCH LETTERS, VOLUME: 41, NÚMERO: 6
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
2
TÍTULO: A new genetic programming framework based on reaction systems  Full Text
AUTORES: Luca Manzoni; Mauro Castelli; Leonardo Vanneschi ;
PUBLICAÇÃO: 2013, FONTE: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, VOLUME: 14, NÚMERO: 4
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
3
TÍTULO: A new implementation of geometric semantic GP and its application to problems in pharmacokinetics
AUTORES: Vanneschi, L ; Castelli, M; Manzoni, L; Silva, S ;
PUBLICAÇÃO: 2013, FONTE: 16th European Conference on Genetic Programming, EuroGP 2013 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 7831 LNCS
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
4
TÍTULO: An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics
AUTORES: Castelli, M; Castaldi, D; Vanneschi, L ; Giordani, I; Archetti, F; Maccagnola, D;
PUBLICAÇÃO: 2013, FONTE: 15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013 in GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
5
TÍTULO: Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approaches  Full Text
AUTORES: Leonardo Vanneschi ; Matteo Mondini; Martino Bertoni; Alberto Ronchi; Mattia Stefano;
PUBLICAÇÃO: 2013, FONTE: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, VOLUME: 14, NÚMERO: 4
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
6
TÍTULO: Land cover/land use multiclass classification using GP with geometric semantic operators
AUTORES: Castelli, M; Silva, S ; Vanneschi, L ; Cabral, A; Vasconcelos, MJ ; Catarino, L; Carreiras, JMB;
PUBLICAÇÃO: 2013, FONTE: 16th European Conference on Applications of Evolutionary Computation, EvoApplications 2013 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 7835 LNCS
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
7
TÍTULO: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
AUTORES: Vanneschi, L ; Bush, WS; Giacobini, M;
PUBLICAÇÃO: 2013, FONTE: 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 7833 LNCS
INDEXADO EM: Scopus
NO MEU: ORCID
8
TÍTULO: Prediction of forest aboveground biomass: An exercise on avoiding overfitting
AUTORES: Silva, S ; Ingalalli, V; Vinga, S ; Carreiras, JMB; Melo, JB; Castelli, M; Vanneschi, L ; Ivo Gonçalves ; Caldas, J;
PUBLICAÇÃO: 2013, FONTE: 16th European Conference on Applications of Evolutionary Computation, EvoApplications 2013 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 7835 LNCS
INDEXADO EM: Scopus CrossRef: 6
NO MEU: ORCID
9
TÍTULO: Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators  Full Text
AUTORES: Mauro Castelli; Leonardo Vanneschi ; Sara Silva;
PUBLICAÇÃO: 2013, FONTE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 40, NÚMERO: 17
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
10
TÍTULO: A distance between populations for one-point crossover in genetic algorithms  Full Text
AUTORES: Luca Manzoni; Leonardo Vanneschi ; Giancarlo Mauri;
PUBLICAÇÃO: 2012, FONTE: THEORETICAL COMPUTER SCIENCE, VOLUME: 429
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
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