91
TÍTULO: A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks
AUTORES: Custode, LL; Tecce, CL; Bakurov, I; Castelli, M; Cioppa, AD; Vanneschi, L;
PUBLICAÇÃO: 2020, FONTE: 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of EvoStar 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12104 LNCS
INDEXADO EM: Scopus CrossRef: 1 Handle
NO MEU: ORCID
92
TÍTULO: A Study of Generalization and Fitness Landscapes for Neuroevolution
AUTORES: Rodrigues, NM; Silva, S ; Vanneschi, L;
PUBLICAÇÃO: 2020, FONTE: IEEE ACCESS, VOLUME: 8
INDEXADO EM: Scopus WOS CrossRef: 6 Handle
NO MEU: ORCID
93
TÍTULO: Towards modelling beef cattle management with Genetic Programming
AUTORES: Abbona, F; Vanneschi, L; Bona, M; Giacobini, M;
PUBLICAÇÃO: 2020, FONTE: LIVESTOCK SCIENCE, VOLUME: 241
INDEXADO EM: Scopus WOS CrossRef: 4 Handle
NO MEU: ORCID
94
TÍTULO: A Machine Learning Approach to Predict Air Quality in California
AUTORES: Castelli, M; Clemente, FM; Popovic, A; Silva, S ; Vanneschi, L;
PUBLICAÇÃO: 2020, FONTE: COMPLEXITY, VOLUME: 2020
INDEXADO EM: Scopus WOS CrossRef: 129 Handle
NO MEU: ORCID
95
TÍTULO: A Study of Fitness Landscapes for Neuroevolution
AUTORES: Rodrigues, NM; Silva, S ; Vanneschi, L;
PUBLICAÇÃO: 2020, FONTE: IEEE Congress on Evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) in 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
INDEXADO EM: Scopus WOS CrossRef: 6
NO MEU: ORCID
96
TÍTULO: Unlabeled Multi-Target Regression with Genetic Programming
AUTORES: Lopez, U; Trujillo, L; Silva, S ; Vanneschi, L; Legrand, P;
PUBLICAÇÃO: 2020, FONTE: Genetic and Evolutionary Computation Conference (GECCO) in GECCO'20: PROCEEDINGS OF THE 2020 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
INDEXADO EM: Scopus WOS CrossRef: 1
NO MEU: ORCID
97
TÍTULO: Regularization techniques in radiomics: A case study on the prediction of pCR in breast tumours and the axilla
AUTORES: Carrasquinha, E; Santinha, J; Mongolin, A; Lisitskiya, M; Ribeiro, J; Cardoso, F; Matos, C; Vanneschi, L; Papanikolaou, N;
PUBLICAÇÃO: 2020, FONTE: 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12313 LNBI
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
98
TÍTULO: A GP approach for precision farming
AUTORES: Abbona, F; Vanneschi, L; Bona, M; Giacobini, M;
PUBLICAÇÃO: 2020, FONTE: IEEE Congress on Evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) in 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
INDEXADO EM: WOS
99
TÍTULO: A GP approach for precision farming
AUTORES: Francesca Abbona; Leonardo Vanneschi; Marco Bona; Mario Giacobini;
PUBLICAÇÃO: 2020, FONTE: 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings
INDEXADO EM: Scopus
NO MEU: ORCID
100
TÍTULO: A GP approach for precision farming
AUTORES: Francesca Abbona; Leonardo Vanneschi; Marco Bona; Mario Giacobini;
PUBLICAÇÃO: 2020, FONTE: 2020 IEEE Congress on Evolutionary Computation (CEC)
INDEXADO EM: CrossRef: 2
NO MEU: ORCID
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