Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Fabrício Enembreck"'
Autor:
Marcos Alberto Mochinski, Marina Luísa de Souza Carrasco Vieira, Mauricio Biczkowski, Ivan Jorge Chueiri, Edgar Jamhour, Voldi Costa Zambenedetti, Marcelo Eduardo Pellenz, Fabrício Enembreck
Publikováno v:
Sensors, Vol 22, Iss 23, p 9105 (2022)
In a smart grid communication network, positioning key devices (routers and gateways) is an NP-Hard problem as the number of candidate topologies grows exponentially according to the number of poles and smart meters. The different terrain profiles im
Externí odkaz:
https://doaj.org/article/ff4530d3d44140e98b262e565cc34ecb
Autor:
Fabrício Enembreck, Jean Paul Barddal
Publikováno v:
Annals of Telecommunications. 75:493-503
Decision trees are a widely used family of methods for learning predictive models from both batch and streaming data. Despite depicting positive results in a multitude of applications, incremental decision trees continuously grow in terms of nodes as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dc5ebdadcbd53c21cdd252d9d95da23
https://doi.org/10.1007/s12243-020-00782-3
https://doi.org/10.1007/s12243-020-00782-3
Autor:
Alceu S. Britto, Luiz S. Oliveira, Fabrício Enembreck, Ronan Assumpção Silva, Robert Sabourin
Publikováno v:
Computational Intelligence. 36:522-556
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae590dd4c136e4d35ff3d42dcbf0418b
https://doi.org/10.1111/coin.12249
https://doi.org/10.1111/coin.12249
Publikováno v:
Proceedings of the 14th International Conference on Agents and Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20abcb3c7d20631139e9c812c0830492
https://doi.org/10.5220/0010859600003116
https://doi.org/10.5220/0010859600003116
Autor:
Dalcimar Casanova, Marcelo Teixeira, André L. Wirth, Heitor Murilo Gomes, Fabrício Enembreck, Richardson Ribeiro, André Pinz Borges
Publikováno v:
Computers and Electronics in Agriculture. 161:131-140
The fundamental role for poultry farmers to be successful in their activities is to precisely increase, decrease, or maintain, in a short time span, factors that determine poultry growth, such as humidity, temperature, amount of feed ration, ventilat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd31c16e1c9b59e966754f3582e4f7a1
https://doi.org/10.1016/j.compag.2018.02.017
https://doi.org/10.1016/j.compag.2018.02.017
Publikováno v:
Journal of Artificial Intelligence Research. 64:987-1023
The distributed constraint optimization problem (DCOP) has emerged as one of the most promising coordination techniques in multiagent systems. However, because DCOP is known to be NP-hard, the existing DCOP techniques are often unsuitable for large-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d2a5f893ed4afb9bdd5d7513c7d8299
https://doi.org/10.1613/jair.1.11468
https://doi.org/10.1613/jair.1.11468
Autor:
Jean Paul Barddal, Albert Bifet, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer
Publikováno v:
Expert Syst. Appl.
Expert Syst. Appl., 2019, 116, pp.227-242. ⟨10.1016/j.eswa.2018.09.031⟩
Expert Syst. Appl., 2019, 116, pp.227-242. ⟨10.1016/j.eswa.2018.09.031⟩
Learning from ephemeral data streams has garnered the interest of both researchers and practitioners towards adaptive learning techniques. Despite the convincing results obtained thus far, most of the current research still overlooks that the relevan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba5709ac8b3b6b24b4483bf061da05f2
https://doi.org/10.1016/j.eswa.2018.09.031
https://doi.org/10.1016/j.eswa.2018.09.031
Publikováno v:
SMC
Adaptive recommender systems are increasingly showing their importance as profiling is a dynamic problem. Their goal is to update recommendation models as new interactions take place, thus swiftly adapting to drifts in the user’s behavior and desir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d73eb3c85cf498d21dd8a3cbd17e9f9e
https://doi.org/10.1109/smc42975.2020.9282922
https://doi.org/10.1109/smc42975.2020.9282922
Publikováno v:
SMC
The financial credibility of a person is a relevant factor to determine whether a loan should be approved or not, and it is quantified by a credit score, which is computed using past performance on debt obligations, profiling, and other data availabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5df3fbca2455625bb8d214bf6f25098
https://doi.org/10.1109/smc42975.2020.9283453
https://doi.org/10.1109/smc42975.2020.9283453
Publikováno v:
SMC
This paper proposes a hybrid ensemble learning approach that combines statistical and data stream mining algorithms to obtain better forecasting performance in multiple time series prediction problems. Although some multiple time series algorithms pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca7bf5f453393ede64106c65a530c92e
https://doi.org/10.1109/smc42975.2020.9283059
https://doi.org/10.1109/smc42975.2020.9283059