Leonardo Vanneschi
AuthID: R-001-Q26
81
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
82
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
83
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
84
TITLE: A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks
AUTHORS: Custode, LL; Tecce, CL; Bakurov, I; Castelli, M; Cioppa, AD; Vanneschi, L;
PUBLISHED: 2020, SOURCE: 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
AUTHORS: Custode, LL; Tecce, CL; Bakurov, I; Castelli, M; Cioppa, AD; Vanneschi, L;
PUBLISHED: 2020, SOURCE: 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
85
TITLE: A Study of Generalization and Fitness Landscapes for Neuroevolution
AUTHORS: Rodrigues, NM; Silva, S; Vanneschi, L;
PUBLISHED: 2020, SOURCE: IEEE ACCESS, VOLUME: 8
AUTHORS: Rodrigues, NM; Silva, S; Vanneschi, L;
PUBLISHED: 2020, SOURCE: IEEE ACCESS, VOLUME: 8
86
TITLE: Towards modelling beef cattle management with Genetic Programming
AUTHORS: Abbona, F; Vanneschi, L; Bona, M; Giacobini, M;
PUBLISHED: 2020, SOURCE: LIVESTOCK SCIENCE, VOLUME: 241
AUTHORS: Abbona, F; Vanneschi, L; Bona, M; Giacobini, M;
PUBLISHED: 2020, SOURCE: LIVESTOCK SCIENCE, VOLUME: 241
87
TITLE: A Machine Learning Approach to Predict Air Quality in California
AUTHORS: Castelli, M; Clemente, FM; Popovic, A; Silva, S; Vanneschi, L;
PUBLISHED: 2020, SOURCE: COMPLEXITY, VOLUME: 2020
AUTHORS: Castelli, M; Clemente, FM; Popovic, A; Silva, S; Vanneschi, L;
PUBLISHED: 2020, SOURCE: COMPLEXITY, VOLUME: 2020
88
TITLE: A Study of Fitness Landscapes for Neuroevolution
AUTHORS: Rodrigues, NM; Silva, S; Vanneschi, L;
PUBLISHED: 2020, SOURCE: IEEE Congress on Evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) in 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
AUTHORS: Rodrigues, NM; Silva, S; Vanneschi, L;
PUBLISHED: 2020, SOURCE: IEEE Congress on Evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) in 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
89
TITLE: Unlabeled Multi-Target Regression with Genetic Programming
AUTHORS: Lopez, U; Trujillo, L; Silva, S; Vanneschi, L; Legrand, P;
PUBLISHED: 2020, SOURCE: Genetic and Evolutionary Computation Conference (GECCO) in GECCO'20: PROCEEDINGS OF THE 2020 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
AUTHORS: Lopez, U; Trujillo, L; Silva, S; Vanneschi, L; Legrand, P;
PUBLISHED: 2020, SOURCE: Genetic and Evolutionary Computation Conference (GECCO) in GECCO'20: PROCEEDINGS OF THE 2020 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
90
TITLE: Regularization techniques in radiomics: A case study on the prediction of pCR in breast tumours and the axilla
AUTHORS: Carrasquinha, E; Santinha, J; Mongolin, A; Lisitskiya, M; Ribeiro, J; Cardoso, F; Matos, C; Vanneschi, L; Papanikolaou, N;
PUBLISHED: 2020, SOURCE: 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12313 LNBI
AUTHORS: Carrasquinha, E; Santinha, J; Mongolin, A; Lisitskiya, M; Ribeiro, J; Cardoso, F; Matos, C; Vanneschi, L; Papanikolaou, N;
PUBLISHED: 2020, SOURCE: 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12313 LNBI
