Leonardo Vanneschi
AuthID: R-001-Q26
71
TÃTULO: Computational Intelligence for Life Sciences
AUTORES: Besozzi, D; Manzoni, L; Nobile, MS; Spolaor, S; Castelli, M; Vanneschi, L; Cazzaniga, P; Ruberto, S; Rundo, L; Tangherloni, A;
PUBLICAÇÃO: 2020, FONTE: FUNDAMENTA INFORMATICAE, VOLUME: 171, NÚMERO: 1-4
AUTORES: Besozzi, D; Manzoni, L; Nobile, MS; Spolaor, S; Castelli, M; Vanneschi, L; Cazzaniga, P; Ruberto, S; Rundo, L; Tangherloni, A;
PUBLICAÇÃO: 2020, FONTE: FUNDAMENTA INFORMATICAE, VOLUME: 171, NÚMERO: 1-4
72
TÃTULO: Towards the use of genetic programming in the ecological modelling of mosquito population dynamics
AUTORES: Azzali, I; Vanneschi, L; Mosca, A; Bertolotti, L; Giacobini, M;
PUBLICAÇÃO: 2020, FONTE: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, VOLUME: 21, NÚMERO: 4
AUTORES: Azzali, I; Vanneschi, L; Mosca, A; Bertolotti, L; Giacobini, M;
PUBLICAÇÃO: 2020, FONTE: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, VOLUME: 21, NÚMERO: 4
73
TÃTULO: 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
AUTORES: Azzali, I; Vanneschi, L; Bakurov, I; Silva, S; Ivaldi, M; Giacobini, M;
PUBLICAÇÃO: 2020, FONTE: APPLIED SOFT COMPUTING, VOLUME: 89, NÚMERO: April
74
TÃTULO: 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
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
75
TÃTULO: 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
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
76
TÃTULO: 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
AUTORES: Castelli, M; Dobreva, M; Henriques, R; Vanneschi, L;
PUBLICAÇÃO: 2020, FONTE: COMPLEXITY, VOLUME: 2020
77
TÃTULO: 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
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
78
TÃTULO: 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
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
79
TÃTULO: 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
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
80
TÃTULO: A Study of Generalization and Fitness Landscapes for Neuroevolution
AUTORES: Rodrigues, NM; Silva, S; Vanneschi, L;
PUBLICAÇÃO: 2020, FONTE: IEEE ACCESS, VOLUME: 8
AUTORES: Rodrigues, NM; Silva, S; Vanneschi, L;
PUBLICAÇÃO: 2020, FONTE: IEEE ACCESS, VOLUME: 8