91
TÍTULO: Towards the use of vector based GP to predict physiological time series
AUTORES: Azzali, I; Vanneschi, L; Bakurov, I; Silva, S ; Ivaldi, M; Giacobini, M;
PUBLICAÇÃO: 2020, FONTE: APPLIED SOFT COMPUTING, VOLUME: 89, NÚMERO: April
INDEXADO EM: Scopus WOS CrossRef: 7 Handle
NO MEU: ORCID
92
TÍTULO: Using Rapid Chlorophyll Fluorescence Transients to Classify Vitis Genotypes
AUTORES: da Silva, JM ; Figueiredo, A ; Cunha, J; Eiras Dias, JE; Silva, S ; Vanneschi, L; Mariano, P ;
PUBLICAÇÃO: 2020, FONTE: PLANTS-BASEL, VOLUME: 9, NÚMERO: 2
INDEXADO EM: Scopus WOS CrossRef: 9 Handle
NO MEU: ORCID
93
TÍTULO: Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial  Full Text
AUTORES: Alfredo Ragho; Marcello Imbriani; Chiara Imbriani; Paola Baiardi; Sara Manzoni; Marta Gianotti; Mauro Castelli; Leonardo Vanneschi; Francisco Vico; Luca Manzoni;
PUBLICAÇÃO: 2020, FONTE: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, VOLUME: 185
INDEXADO EM: WOS
94
TÍTULO: Predicting Days on Market to Optimize Real Estate Sales Strategy
AUTORES: Castelli, M; Dobreva, M; Henriques, R; Vanneschi, L;
PUBLICAÇÃO: 2020, FONTE: COMPLEXITY, VOLUME: 2020
INDEXADO EM: Scopus WOS CrossRef: 1 Handle
NO MEU: ORCID
95
TÍTULO: Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming
AUTORES: Azzali, I; Vanneschi, L; Giacobini, M;
PUBLICAÇÃO: 2020, FONTE: 23rd European Conference on Genetic Programming, EuroGP 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: 12101 LNCS
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
96
TÍTULO: Is k Nearest Neighbours Regression Better Than GP?
AUTORES: Vanneschi, L; Castelli, M; Manzoni, L; Silva, S ; Trujillo, L;
PUBLICAÇÃO: 2020, FONTE: 23rd European Conference on Genetic Programming, EuroGP 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: 12101 LNCS
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
97
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
98
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
99
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
100
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
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