Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Leandro Nunes de Castro"'
Publikováno v:
IEEE Access, Vol 8, Pp 110775-110788 (2020)
Over the past years, many approaches to perform asset allocation have been proposed in the literature. Most of them tackle this problem as an optimization task, where the goal is to maximize return, whilst minimizing the risk. However, such approache
Externí odkaz:
https://doaj.org/article/28ee881b9c9543f7a5f0fa43524b4c9d
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0212844 (2019)
Temperament and Psychological Types can be defined as innate psychological characteristics associated with how we relate with the world, and often influence our study and career choices. Furthermore, understanding these features help us manage confli
Externí odkaz:
https://doaj.org/article/4839d3f56085494792c19ff33e6b40e1
Autor:
Romis Ribeiro de Faissol Attux, Murilo Bellezoni Loiola, Ricardo Suyama, Leandro Nunes de Castro, Fernando José Von Zuben, João Marcos Travassos Romano
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 8, Pp 740-747 (2003)
This work proposes a framework to determine the optimal Wiener equalizer by using an artificial immune network model together with the constant modulus (CM) cost function. This study was primarily motivated by recent theoretical results concerning th
Externí odkaz:
https://doaj.org/article/3d8053eed77c484aa3e72e7e472f6415
Autor:
Rodrigo Pasti, Khallil Taverna Chaim, María Concepcion Garcia Otaduy, Patrick Martins de Faria, Marcio Biczyk, Leandro Nunes de Castro
Publikováno v:
Distributed Computing and Artificial Intelligence, 19th International Conference ISBN: 9783031208584
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f4450a562702c8d5f8959d37696613
https://doi.org/10.1007/978-3-031-20859-1_23
https://doi.org/10.1007/978-3-031-20859-1_23
Publikováno v:
Distributed Computing and Artificial Intelligence, 19th International Conference ISBN: 9783031208584
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5818a008cb4a551d3a0a8bcd6c22bc0a
https://doi.org/10.1007/978-3-031-20859-1_11
https://doi.org/10.1007/978-3-031-20859-1_11
Publikováno v:
Distributed Computing and Artificial Intelligence, 19th International Conference ISBN: 9783031208584
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28e84b48bb36503d432d829ced676eaf
https://doi.org/10.1007/978-3-031-20859-1_32
https://doi.org/10.1007/978-3-031-20859-1_32
Autor:
Leandro Nunes de Castro, Ligia Maria da Costa Canellas Tropiano, Renata Mendes de Araujo, Nelson Destro Fragoso
Publikováno v:
International Journal of Innovation. 9:295-321
Objective of the study: To propose and evaluate the DIMEP methodology for diagnosing and monitoring the maturity of startups in academic institutions, based on dimensions, subdimensions and maturity levels for evaluating startups at different entrepr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8cf8296675df323635165c4bfc9c055
https://doi.org/10.5585/iji.v9i2.18840
https://doi.org/10.5585/iji.v9i2.18840
Assuming nature can be investigated and understood as an information processing system, this chapter aims to explore this hypothesis in the field of ecosystems. Therefore, based on the concepts of biogeography, it further investigates a computational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a11c9c00005f0d9935d988d0c9c6c47
https://doi.org/10.4018/978-1-6684-5678-1.ch011
https://doi.org/10.4018/978-1-6684-5678-1.ch011
Publikováno v:
Knowledge and Information Systems. 63:1-20
Recommender Systems (RS) are a subclass of information filtering systems that seek to predict the rating or preference a user would give to an item. e-Recruitment is one of the domains in which RS can contribute due to presenting a list of interestin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68f84f934a13320270eee0c1aaf43021
https://doi.org/10.1007/s10115-020-01522-8
https://doi.org/10.1007/s10115-020-01522-8
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 33:659-681
Over the last decades, the number of Swarm Intelligence algorithms proposed in the literature has increased considerably. However, most algorithms do not follow an adequate scientific rigour neithe...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18861c08bcefaaa2acf0e2a480fa3178
https://doi.org/10.1080/0952813x.2020.1764635
https://doi.org/10.1080/0952813x.2020.1764635