261
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
262
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
263
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
264
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
265
TÍTULO: An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics
AUTORES: Castelli, M; Castaldi, D; Giordani, I; Silva, S; Vanneschi, L; Archetti, F; Maccagnola, D;
PUBLICAÇÃO: 2013, FONTE: 16th Portuguese Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2013, VOLUME: 8154
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
266
TÍTULO: Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting
AUTORES: Sara Silva; Vijay Ingalalli; Susana Vinga; João Manuel de Brito Carreiras; Joana B Melo; Mauro Castelli; Leonardo Vanneschi; Ivo Gonçalves; José Caldas;
PUBLICAÇÃO: 2013, FONTE: Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Vienna, Austria, April 3-5, 2013. Proceedings, VOLUME: 7835
INDEXADO EM: DBLP
267
TÍTULO: Parameter Tuning of Evolutionary Reactions Systems
AUTORES: Mauro Castelli; Luca Manzoni; Leonardo Vanneschi ;
PUBLICAÇÃO: 2012, FONTE: 14th International Conference on Genetic and Evolutionary Computation Conference (GECCO) in PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
268
TÍTULO: Evolutionary reaction systems
AUTORES: Manzoni, L; Castelli, M; Vanneschi, L ;
PUBLICAÇÃO: 2012, FONTE: 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 7246 LNCS
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
269
TÍTULO: Genetic Programming Needs Better Benchmarks
AUTORES: James McDermott; Luca Manzoni; Wojciech Jaskowski; David R White; Mauro Castelli; Krzysztof Krawiec ; Sean Luke; Leonardo Vanneschi; Robin Harper; Kenneth De Jong; Una May O'Reilly;
PUBLICAÇÃO: 2012, FONTE: 14th International Conference on Genetic and Evolutionary Computation Conference (GECCO) in PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
270
TÍTULO: A quantitative study of learning and generalization in genetic programming
AUTORES: Castelli, M; Manzoni, L; Silva, S; Vanneschi, L ;
PUBLICAÇÃO: 2011, FONTE: 14th European Conference on Genetic Programming, EuroGP 2011 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 6621 LNCS
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
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