Leonardo Vanneschi
AuthID: R-001-Q26
71
TITLE: Machine Learning for Survival Prediction in Breast Cancer
AUTHORS: Leonardo Vanneschi;
PUBLISHED: 2021
AUTHORS: Leonardo Vanneschi;
PUBLISHED: 2021
INDEXED IN: 
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ORCID
ORCID72
TITLE: Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial
AUTHORS: Raglio, A; Imbriani, M; Imbriani, C; Baiardi, P; Manzoni, S; Gianotti, M; Castelli, M; Vanneschi, L; Vico, F; Manzoni, L;
PUBLISHED: 2020, SOURCE: Computer Methods and Programs in Biomedicine, VOLUME: 185
AUTHORS: Raglio, A; Imbriani, M; Imbriani, C; Baiardi, P; Manzoni, S; Gianotti, M; Castelli, M; Vanneschi, L; Vico, F; Manzoni, L;
PUBLISHED: 2020, SOURCE: Computer Methods and Programs in Biomedicine, VOLUME: 185
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Scopus
Scopus IN MY: ORCID
ORCID73
TITLE: Computational Intelligence for Life Sciences
AUTHORS: Besozzi, D; Manzoni, L; Nobile, MS; Spolaor, S; Castelli, M; Vanneschi, L; Cazzaniga, P; Ruberto, S; Rundo, L; Tangherloni, A;
PUBLISHED: 2020, SOURCE: FUNDAMENTA INFORMATICAE, VOLUME: 171, ISSUE: 1-4
AUTHORS: Besozzi, D; Manzoni, L; Nobile, MS; Spolaor, S; Castelli, M; Vanneschi, L; Cazzaniga, P; Ruberto, S; Rundo, L; Tangherloni, A;
PUBLISHED: 2020, SOURCE: FUNDAMENTA INFORMATICAE, VOLUME: 171, ISSUE: 1-4
74
TITLE: Towards the use of genetic programming in the ecological modelling of mosquito population dynamics
AUTHORS: Azzali, I; Vanneschi, L; Mosca, A; Bertolotti, L; Giacobini, M;
PUBLISHED: 2020, SOURCE: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, VOLUME: 21, ISSUE: 4
AUTHORS: Azzali, I; Vanneschi, L; Mosca, A; Bertolotti, L; Giacobini, M;
PUBLISHED: 2020, SOURCE: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, VOLUME: 21, ISSUE: 4
75
TITLE: Towards the use of vector based GP to predict physiological time series
AUTHORS: Azzali, I; Vanneschi, L; Bakurov, I; Silva, S; Ivaldi, M; Giacobini, M;
PUBLISHED: 2020, SOURCE: APPLIED SOFT COMPUTING, VOLUME: 89, ISSUE: April
AUTHORS: Azzali, I; Vanneschi, L; Bakurov, I; Silva, S; Ivaldi, M; Giacobini, M;
PUBLISHED: 2020, SOURCE: APPLIED SOFT COMPUTING, VOLUME: 89, ISSUE: April
76
TITLE: Using Rapid Chlorophyll Fluorescence Transients to Classify Vitis Genotypes
AUTHORS: da Silva, JM; Figueiredo, A; Cunha, J; Eiras Dias, JE; Silva, S; Vanneschi, L; Mariano, P;
PUBLISHED: 2020, SOURCE: PLANTS-BASEL, VOLUME: 9, ISSUE: 2
AUTHORS: da Silva, JM; Figueiredo, A; Cunha, J; Eiras Dias, JE; Silva, S; Vanneschi, L; Mariano, P;
PUBLISHED: 2020, SOURCE: PLANTS-BASEL, VOLUME: 9, ISSUE: 2
77
TITLE: Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial Full Text
AUTHORS: Alfredo Ragho; Marcello Imbriani; Chiara Imbriani; Paola Baiardi; Sara Manzoni; Marta Gianotti; Mauro Castelli; Leonardo Vanneschi; Francisco Vico; Luca Manzoni;
PUBLISHED: 2020, SOURCE: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, VOLUME: 185
AUTHORS: Alfredo Ragho; Marcello Imbriani; Chiara Imbriani; Paola Baiardi; Sara Manzoni; Marta Gianotti; Mauro Castelli; Leonardo Vanneschi; Francisco Vico; Luca Manzoni;
PUBLISHED: 2020, SOURCE: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, VOLUME: 185
INDEXED IN: 
WOS
WOS78
TITLE: Predicting Days on Market to Optimize Real Estate Sales Strategy
AUTHORS: Castelli, M; Dobreva, M; Henriques, R; Vanneschi, L;
PUBLISHED: 2020, SOURCE: COMPLEXITY, VOLUME: 2020
AUTHORS: Castelli, M; Dobreva, M; Henriques, R; Vanneschi, L;
PUBLISHED: 2020, SOURCE: COMPLEXITY, VOLUME: 2020
79
TITLE: Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming
AUTHORS: Azzali, I; Vanneschi, L; Giacobini, M;
PUBLISHED: 2020, SOURCE: 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
AUTHORS: Azzali, I; Vanneschi, L; Giacobini, M;
PUBLISHED: 2020, SOURCE: 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
80
TITLE: Is k Nearest Neighbours Regression Better Than GP?
AUTHORS: Vanneschi, L; Castelli, M; Manzoni, L; Silva, S; Trujillo, L;
PUBLISHED: 2020, SOURCE: 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
AUTHORS: Vanneschi, L; Castelli, M; Manzoni, L; Silva, S; Trujillo, L;
PUBLISHED: 2020, SOURCE: 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
