Mauro Castelli
AuthID: R-004-PAD
101
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
102
TITLE: Specializing Context-Free Grammars With a (1+1)-EA
AUTHORS: Luca Manzoni; Alberto Bartoli; Mauro Castelli; Ivo Gonçalves ; Eric Medvet;
PUBLISHED: 2020, SOURCE: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOLUME: 24, ISSUE: 5
AUTHORS: Luca Manzoni; Alberto Bartoli; Mauro Castelli; Ivo Gonçalves ; Eric Medvet;
PUBLISHED: 2020, SOURCE: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOLUME: 24, ISSUE: 5
103
TITLE: Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review
AUTHORS: Kandel, I; Castelli, M;
PUBLISHED: 2020, SOURCE: APPLIED SCIENCES-BASEL, VOLUME: 10, ISSUE: 6
AUTHORS: Kandel, I; Castelli, M;
PUBLISHED: 2020, SOURCE: APPLIED SCIENCES-BASEL, VOLUME: 10, ISSUE: 6
104
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
105
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
106
TITLE: A Novel Architecture to Classify Histopathology Images Using Convolutional Neural Networks
AUTHORS: Kandel, I; Castelli, M;
PUBLISHED: 2020, SOURCE: APPLIED SCIENCES-BASEL, VOLUME: 10, ISSUE: 8
AUTHORS: Kandel, I; Castelli, M;
PUBLISHED: 2020, SOURCE: APPLIED SCIENCES-BASEL, VOLUME: 10, ISSUE: 8
107
TITLE: The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset
AUTHORS: Kandel, I; Castelli, M;
PUBLISHED: 2020, SOURCE: ICT EXPRESS, VOLUME: 6, ISSUE: 4
AUTHORS: Kandel, I; Castelli, M;
PUBLISHED: 2020, SOURCE: ICT EXPRESS, VOLUME: 6, ISSUE: 4
108
TITLE: Forecasting Electricity Prices: A Machine Learning Approach
AUTHORS: Castelli, M; Groznik, A; Popovic, A;
PUBLISHED: 2020, SOURCE: ALGORITHMS, VOLUME: 13, ISSUE: 5
AUTHORS: Castelli, M; Groznik, A; Popovic, A;
PUBLISHED: 2020, SOURCE: ALGORITHMS, VOLUME: 13, ISSUE: 5
109
TITLE: Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
AUTHORS: Frederico Cruz Jesus; Mauro Castelli; Tiago Oliveira; Ricardo Mendes; Catarina Nunes; Mafalda Sa Velho; Ana Rosa Louro;
PUBLISHED: 2020, SOURCE: HELIYON, VOLUME: 6, ISSUE: 6
AUTHORS: Frederico Cruz Jesus; Mauro Castelli; Tiago Oliveira; Ricardo Mendes; Catarina Nunes; Mafalda Sa Velho; Ana Rosa Louro;
PUBLISHED: 2020, SOURCE: HELIYON, VOLUME: 6, ISSUE: 6
INDEXED IN:
Scopus
WOS
IN MY:
ORCID
110
TITLE: How Deeply to Fine-Tune a Convolutional Neural Network: A Case Study Using a Histopathology Dataset
AUTHORS: Kandel, I; Castelli, M;
PUBLISHED: 2020, SOURCE: APPLIED SCIENCES-BASEL, VOLUME: 10, ISSUE: 10
AUTHORS: Kandel, I; Castelli, M;
PUBLISHED: 2020, SOURCE: APPLIED SCIENCES-BASEL, VOLUME: 10, ISSUE: 10