Mauro Castelli
AuthID: R-004-PAD
111
TITLE: A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach
AUTHORS: Ricardo Costa-Mendes; Tiago Oliveira; Mauro Castelli; Frederico Cruz-Jesus;
PUBLISHED: 2020, SOURCE: Education and Information Technologies, VOLUME: 26, ISSUE: 2
AUTHORS: Ricardo Costa-Mendes; Tiago Oliveira; Mauro Castelli; Frederico Cruz-Jesus;
PUBLISHED: 2020, SOURCE: Education and Information Technologies, VOLUME: 26, ISSUE: 2
112
TITLE: Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial
AUTHORS: Alfredo Raglio; 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 Raglio; 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
113
TITLE: Parameters optimization of the Structural Similarity Index
AUTHORS: Illya Bakurov; Marco Buzzelli; Mauro Castelli; Raimondo Schettini; Leonardo Vanneschi;
PUBLISHED: 2020, SOURCE: London Imaging Meeting, VOLUME: 1, ISSUE: 1
AUTHORS: Illya Bakurov; Marco Buzzelli; Mauro Castelli; Raimondo Schettini; Leonardo Vanneschi;
PUBLISHED: 2020, SOURCE: London Imaging Meeting, VOLUME: 1, ISSUE: 1
114
TITLE: A distance between populations for n-points crossover in genetic algorithms
AUTHORS: Castelli, M; Cattaneo, G; Manzoni, L; Vanneschi, L;
PUBLISHED: 2019, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 44
AUTHORS: Castelli, M; Cattaneo, G; Manzoni, L; Vanneschi, L;
PUBLISHED: 2019, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 44
115
TITLE: Alignment-based genetic programming for real life applications
AUTHORS: Vanneschi, L; Castelli, M; Scott, K; Trujillo, L;
PUBLISHED: 2019, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 44
AUTHORS: Vanneschi, L; Castelli, M; Scott, K; Trujillo, L;
PUBLISHED: 2019, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 44
116
TITLE: Genetic programming with semantic equivalence classes
AUTHORS: Ruberto, S; Vanneschi, L; Castelli, M;
PUBLISHED: 2019, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 44
AUTHORS: Ruberto, S; Vanneschi, L; Castelli, M;
PUBLISHED: 2019, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 44
117
TITLE: Multiobjective Metaheuristic to Design RNA Sequences
AUTHORS: Rubio Largo, A; Vanneschi, L; Castelli, M; Vega Rodriguez, MA;
PUBLISHED: 2019, SOURCE: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOLUME: 23, ISSUE: 1
AUTHORS: Rubio Largo, A; Vanneschi, L; Castelli, M; Vega Rodriguez, MA;
PUBLISHED: 2019, SOURCE: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOLUME: 23, ISSUE: 1
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ORCID118
TITLE: Supporting medical decisions for treating rare diseases through genetic programming
AUTHORS: Bakurov, I; Castelli, M; Vanneschi, L; Freitas, MJ;
PUBLISHED: 2019, SOURCE: 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held as Part of EvoStar 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11454 LNCS
AUTHORS: Bakurov, I; Castelli, M; Vanneschi, L; Freitas, MJ;
PUBLISHED: 2019, SOURCE: 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held as Part of EvoStar 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11454 LNCS
119
TITLE: Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer
AUTHORS: Hajek, P; Henriques, R; Castelli, M; Vanneschi, L;
PUBLISHED: 2019, SOURCE: COMPUTERS & OPERATIONS RESEARCH, VOLUME: 106
AUTHORS: Hajek, P; Henriques, R; Castelli, M; Vanneschi, L;
PUBLISHED: 2019, SOURCE: COMPUTERS & OPERATIONS RESEARCH, VOLUME: 106
120
TITLE: Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers
AUTHORS: Janke, J; Castelli, M; Popovic, A;
PUBLISHED: 2019, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 135
AUTHORS: Janke, J; Castelli, M; Popovic, A;
PUBLISHED: 2019, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 135
