231
TITLE: Preface
AUTHORS: Malcolm I Heywood; James McDermott; Mauro Castelli; Ernesto Costa; Kevin Sim;
PUBLISHED: 2016, SOURCE: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 9594
INDEXED IN: Scopus
IN MY: ORCID
232
TITLE: Corrigendum to “Parameterized tractability of the maximum-duo preservation string mapping problem” [Theoret. Comput. Sci. 646 (2016) 16–25]
AUTHORS: Stefano Beretta; Mauro Castelli; Riccardo Dondi;
PUBLISHED: 2016, SOURCE: Theoretical Computer Science, VOLUME: 653
INDEXED IN: CrossRef: 2
IN MY: ORCID
233
TITLE: The impact of big data analytics on firms’ high value business performance
AUTHORS: Aleš Popovič; Ray Hackney; Rana Tassabehji; Mauro Castelli;
PUBLISHED: 2016, SOURCE: Information Systems Frontiers, VOLUME: 20, ISSUE: 2
INDEXED IN: CrossRef: 188
IN MY: ORCID
234
TITLE: Parameterized tractability of the maximum-duo preservation string mapping problem
AUTHORS: Stefano Beretta; Mauro Castelli; Riccardo Dondi;
PUBLISHED: 2016, SOURCE: Theoretical Computer Science, VOLUME: 646
INDEXED IN: CrossRef: 7
IN MY: ORCID
235
TITLE: Genetic Programming. 19th European Conference, Eurogp 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings
AUTHORS: Penousal Machado; Malcolm I Heywood; James McDermott; Mauro Castelli; Pablo García Sánchez; Paolo Burelli; Sebastian Risi; Kevin Sim;
PUBLISHED: 2016
INDEXED IN: Openlibrary
IN MY: ORCID
237
TITLE: A C plus plus framework for geometric semantic genetic programming  Full Text
AUTHORS: Mauro Castelli; Sara Silva; Leonardo Vanneschi;
PUBLISHED: 2015, SOURCE: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, VOLUME: 16, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
238
TITLE: Improving maritime awareness with semantic genetic programming and linear scaling: Prediction of vessels position based on AIS data
AUTHORS: Vanneschi, L; Castelli, M; Costa, E; Re, A; Vaz, H; Lobo, V; Urbano, P;
PUBLISHED: 2015, SOURCE: 18th European Conference on the Applications of Evolutionary Computation, EvoApplications 2015 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 9028
INDEXED IN: Scopus CrossRef
IN MY: ORCID
240
TITLE: PREDICTING BURNED AREAS OF FOREST FIRES: AN ARTIFICIAL INTELLIGENCE APPROACH
AUTHORS: Mauro Castelli; Leonardo Vanneschi; Ales Popovic;
PUBLISHED: 2015, SOURCE: FIRE ECOLOGY, VOLUME: 11, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
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