211
TITLE: A Quantitative Study of Learning and Generalization in Genetic Programming
AUTHORS: Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Vanneschi;
PUBLISHED: 2011, SOURCE: 14th European Conference on Genetic Programming in GENETIC PROGRAMMING, VOLUME: 6621
INDEXED IN: WOS
IN MY: ORCID
212
TITLE: An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming
AUTHORS: Leonardo Trujillo; Sara Silva; Pierrick Legrand; Leonardo Vanneschi;
PUBLISHED: 2011, SOURCE: 14th European Conference on Genetic Programming in GENETIC PROGRAMMING, VOLUME: 6621
INDEXED IN: WOS
IN MY: ORCID
213
TITLE: THE IMPORTANCE OF BEING FLAT - STUDYING THE PROGRAM LENGTH DISTRIBUTIONS OF OPERATOR EQUALISATION
AUTHORS: Sara Silva; Leonardo Vanneschi;
PUBLISHED: 2011, SOURCE: 9th Workshop on Genetic Programming, Theory and Practice in GENETIC PROGRAMMING THEORY AND PRACTICE IX
INDEXED IN: WOS
IN MY: ORCID
214
TITLE: Hot topics in Evolutionary Computation
AUTHORS: Leonardo Vanneschi; Luca Mussi; Stefano Cagnoni;
PUBLISHED: 2011, SOURCE: Intelligenza Artificiale, VOLUME: 5, ISSUE: 1
INDEXED IN: CrossRef: 2
IN MY: ORCID
215
TITLE: The Importance of Being Flat–Studying the Program Length Distributions of Operator Equalisation
AUTHORS: Sara Silva; Leonardo Vanneschi;
PUBLISHED: 2011, SOURCE: Genetic and Evolutionary Computation - Genetic Programming Theory and Practice IX
INDEXED IN: CrossRef: 7
IN MY: ORCID
216
TITLE: Genetic programming for QSAR investigation of docking energy  Full Text
AUTHORS: Archetti, F; Giordani, I; Vanneschi, L;
PUBLISHED: 2010, SOURCE: Applied Soft Computing Journal, VOLUME: 10, ISSUE: 1
INDEXED IN: Scopus CrossRef
IN MY: ORCID
217
TITLE: Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset  Full Text
AUTHORS: Archetti, F; Giordani, I; Vanneschi, L;
PUBLISHED: 2010, SOURCE: Computers and Operations Research, VOLUME: 37, ISSUE: 8
INDEXED IN: Scopus CrossRef
IN MY: ORCID
218
TITLE: Identification of individualized feature combinations for survival prediction in breast cancer: A comparison of machine learning techniques
AUTHORS: Vanneschi, L; Farinaccio, A; Giacobini, M; Mauri, G; Antoniotti, M; Provero, P;
PUBLISHED: 2010, SOURCE: 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 6023 LNCS
INDEXED IN: Scopus CrossRef: 4
IN MY: ORCID
219
TITLE: Genetic algorithms for training data and polynomial optimization in colorimetric characterization of scanners
AUTHORS: Vanneschi, L; Castelli, M; Bianco, S; Schettini, R;
PUBLISHED: 2010, SOURCE: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, EvoApplicatons 2010 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 6024 LNCS, ISSUE: PART 1
INDEXED IN: Scopus CrossRef: 2
IN MY: ORCID
220
TITLE: Guest editorial: Special issue on parallel and distributed evolutionary algorithms, part two  Full Text
AUTHORS: Tomassini, M; Vanneschi, L;
PUBLISHED: 2010, SOURCE: Genetic Programming and Evolvable Machines, VOLUME: 11, ISSUE: 2
INDEXED IN: Scopus CrossRef
IN MY: ORCID
Page 22 of 31. Total results: 308.