Leonardo Vanneschi
AuthID: R-001-Q26
121
TITLE: A Regression-like Classification System for Geometric Semantic Genetic Programming
AUTHORS: Illya Bakurov; Mauro Castelli; Francesco Fontanella; Leonardo Vanneschi;
PUBLISHED: 2019, SOURCE: Proceedings of the 11th International Joint Conference on Computational Intelligence
AUTHORS: Illya Bakurov; Mauro Castelli; Francesco Fontanella; Leonardo Vanneschi;
PUBLISHED: 2019, SOURCE: Proceedings of the 11th International Joint Conference on Computational Intelligence
122
TITLE: Multilayer Perceptrons
AUTHORS: Leonardo Vanneschi; Mauro Castelli;
PUBLISHED: 2019, SOURCE: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics
AUTHORS: Leonardo Vanneschi; Mauro Castelli;
PUBLISHED: 2019, SOURCE: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics
INDEXED IN: 
Scopus
Scopus123
TITLE: Delta Rule and Backpropagation
AUTHORS: Leonardo Vanneschi; Mauro Castelli;
PUBLISHED: 2019, SOURCE: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics
AUTHORS: Leonardo Vanneschi; Mauro Castelli;
PUBLISHED: 2019, SOURCE: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics
INDEXED IN: Scopus
Scopus124
TITLE: A Characteristic-Based Framework for Multiple Sequence Aligners
AUTHORS: Rubio Largo, A; Vanneschi, L; Castelli, M; Vega Rodriguez, MA;
PUBLISHED: 2018, SOURCE: IEEE TRANSACTIONS ON CYBERNETICS, VOLUME: 48, ISSUE: 1
AUTHORS: Rubio Largo, A; Vanneschi, L; Castelli, M; Vega Rodriguez, MA;
PUBLISHED: 2018, SOURCE: IEEE TRANSACTIONS ON CYBERNETICS, VOLUME: 48, ISSUE: 1
INDEXED IN: Scopus 
WOS
Scopus WOS IN MY: 
ORCID
ORCID125
TITLE: An artificial intelligence system for predicting customer default in e-commerce
AUTHORS: Vanneschi, L; Horn, DM; Castelli, M; Popovič, A;
PUBLISHED: 2018, SOURCE: Expert Systems with Applications, VOLUME: 104
AUTHORS: Vanneschi, L; Horn, DM; Castelli, M; Popovič, A;
PUBLISHED: 2018, SOURCE: Expert Systems with Applications, VOLUME: 104
126
TITLE: A multiple expression alignment framework for genetic programming
AUTHORS: Vanneschi, L; Scott, K; Castelli, M;
PUBLISHED: 2018, SOURCE: 21st European Conference on Genetic Programming, EuroGP 2018 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 10781 LNCS
AUTHORS: Vanneschi, L; Scott, K; Castelli, M;
PUBLISHED: 2018, SOURCE: 21st European Conference on Genetic Programming, EuroGP 2018 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 10781 LNCS
127
TITLE: Pruning techniques for mixed ensembles of genetic programming models
AUTHORS: Castelli, M; Ivo Gonçalves ; Manzoni, L; Vanneschi, L;
PUBLISHED: 2018, SOURCE: 21st European Conference on Genetic Programming, EuroGP 2018 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 10781 LNCS
AUTHORS: Castelli, M; Ivo Gonçalves ; Manzoni, L; Vanneschi, L;
PUBLISHED: 2018, SOURCE: 21st European Conference on Genetic Programming, EuroGP 2018 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 10781 LNCS
128
TITLE: A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting
AUTHORS: Silva, S ; Vanneschi, L; Cabral, AIR; Vasconcelos, MJ;
PUBLISHED: 2018, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 39
AUTHORS: Silva, S ; Vanneschi, L; Cabral, AIR; Vasconcelos, MJ;
PUBLISHED: 2018, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 39
129
TITLE: Multiobjective characteristic-based framework for very-large multiple sequence alignment
AUTHORS: Rubio Largo, A; Vanneschi, L; Castelli, M; Vega Rodriiguez, MA;
PUBLISHED: 2018, SOURCE: APPLIED SOFT COMPUTING, VOLUME: 69
AUTHORS: Rubio Largo, A; Vanneschi, L; Castelli, M; Vega Rodriiguez, MA;
PUBLISHED: 2018, SOURCE: APPLIED SOFT COMPUTING, VOLUME: 69
INDEXED IN: Scopus WOS
Scopus WOS IN MY: ORCID
ORCID130
TITLE: Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction
AUTHORS: Shrestha, S; Vanneschi, L;
PUBLISHED: 2018, SOURCE: REMOTE SENSING, VOLUME: 10, ISSUE: 7
AUTHORS: Shrestha, S; Vanneschi, L;
PUBLISHED: 2018, SOURCE: REMOTE SENSING, VOLUME: 10, ISSUE: 7
