Mauro Castelli
AuthID: R-004-PAD
121
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
122
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
INDEXED IN: 
Scopus 
WOS
Scopus WOS IN MY: 
ORCID
ORCID123
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
124
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
125
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
126
TITLE: Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Study
AUTHORS: Giansanti, V; Castelli, M; Beretta, S; Merelli, I;
PUBLISHED: 2019, SOURCE: 19th Annual International Conference on Computational Science (ICCS) in COMPUTATIONAL SCIENCE - ICCS 2019, PT III, VOLUME: 11538
AUTHORS: Giansanti, V; Castelli, M; Beretta, S; Merelli, I;
PUBLISHED: 2019, SOURCE: 19th Annual International Conference on Computational Science (ICCS) in COMPUTATIONAL SCIENCE - ICCS 2019, PT III, VOLUME: 11538
127
TITLE: Top k 2-Clubs in a Network: A Genetic Algorithm
AUTHORS: Castelli, M; Dondi, R; Manzoni, S; Mauri, G; Zoppis, I;
PUBLISHED: 2019, SOURCE: 19th Annual International Conference on Computational Science (ICCS) in COMPUTATIONAL SCIENCE - ICCS 2019, PT V, VOLUME: 11540
AUTHORS: Castelli, M; Dondi, R; Manzoni, S; Mauri, G; Zoppis, I;
PUBLISHED: 2019, SOURCE: 19th Annual International Conference on Computational Science (ICCS) in COMPUTATIONAL SCIENCE - ICCS 2019, PT V, VOLUME: 11540
128
TITLE: Enhancing Classification Performance of Convolutional Neural Networks for Prostate Cancer Detection on Magnetic Resonance Images: a Study with the Semantic Learning Machine. a study with the semantic learning machine
AUTHORS: Paulo Lapa; Ivo Gonçalves ; Leonardo Rundo; Mauro Castelli;
PUBLISHED: 2019, SOURCE: Genetic and Evolutionary Computation Conference (GECCO) in PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION)
AUTHORS: Paulo Lapa; Ivo Gonçalves ; Leonardo Rundo; Mauro Castelli;
PUBLISHED: 2019, SOURCE: Genetic and Evolutionary Computation Conference (GECCO) in PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION)
129
TITLE: Semantic Learning Machine Improves the CNN-Based Detection of Prostate Cancer in Non-Contrast-Enhanced MRI
AUTHORS: Paulo Lapa; Ivo Goncalves; Ivo Gonçalves ; Mauro Castelli;
PUBLISHED: 2019, SOURCE: Genetic and Evolutionary Computation Conference (GECCO) in PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION)
AUTHORS: Paulo Lapa; Ivo Goncalves; Ivo Gonçalves ; Mauro Castelli;
PUBLISHED: 2019, SOURCE: Genetic and Evolutionary Computation Conference (GECCO) in PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION)
130
TITLE: GSGP-C++ 2.0: A geometric semantic genetic programming framework
AUTHORS: Castelli, M; Manzoni, L;
PUBLISHED: 2019, SOURCE: SOFTWAREX, VOLUME: 10
AUTHORS: Castelli, M; Manzoni, L;
PUBLISHED: 2019, SOURCE: SOFTWAREX, VOLUME: 10
