Zobrazeno 1 - 10
of 31
pro vyhledávání: '"de Sá, Cláudio Rebelo"'
Autor:
Paraschiakos, Stylianos, de Sá, Cláudio Rebelo, Okai, Jeremiah, Slagboom, Eline P., Beekman, Marian, Knobbe, Arno
Publikováno v:
Data Mining Knowledge Discovery (2022)
Through the quantification of physical activity energy expenditure (PAEE), health care monitoring has the potential to stimulate vital and healthy ageing, inducing behavioural changes in older people and linking these to personal health gains. To be
Externí odkaz:
http://arxiv.org/abs/2006.01169
Publikováno v:
Information Fusion, Volume 40, March 2018, Pages 112-125
In this paper we investigate two variants of association rules for preference data, Label Ranking Association Rules and Pairwise Association Rules. Label Ranking Association Rules (LRAR) are the equivalent of Class Association Rules (CAR) for the Lab
Externí odkaz:
http://arxiv.org/abs/1903.08504
Predicting the health of components in complex dynamic systems such as an automobile poses numerous challenges. The primary aim of such predictive systems is to use the high-dimensional data acquired from different sensors and predict the state-of-he
Externí odkaz:
http://arxiv.org/abs/1804.05544
The costs associated with refrigerator equipment often represent more than half of the total energy costs in supermarkets. This presents a good motivation for running these systems efficiently. In this study, we investigate different ways to construc
Externí odkaz:
http://arxiv.org/abs/1802.04128
Autor:
Garcia, Kemilly Dearo, de Sá, Cláudio Rebelo, Poel, Mannes, Carvalho, Tiago, Mendes-Moreira, João, Cardoso, João M.P., de Carvalho, André C.P.L.F., Kok, Joost N.
Publikováno v:
In Neurocomputing 7 June 2021 439:271-280
Publikováno v:
In Information Fusion March 2018 40:112-125
Publikováno v:
In Information Sciences 1 February 2016 329:921-936
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Garcia, Kemilly Dearo, de Faria, Elaine Ribeiro, de Sá, Cláudio Rebelo, Mendes-Moreira, João, Aggarwal, Charu C., de Carvalho, André C.P.L.F., Kok, Joost N., Kralj Novak, Petra, Džeroski, Sašo, Šmuc, Tomislav
Publikováno v:
Discovery Science ISBN: 9783030337773
DS
Discovery Science: 22nd International Conference, DS 2019, Splitm, Croatia, October 28-30, 2019. Proceedings, 460-470
STARTPAGE=460;ENDPAGE=470;TITLE=Discovery Science
DS
Discovery Science: 22nd International Conference, DS 2019, Splitm, Croatia, October 28-30, 2019. Proceedings, 460-470
STARTPAGE=460;ENDPAGE=470;TITLE=Discovery Science
In data streams new classes can appear over time due to changes in the data statistical distribution. Consequently, models can become outdated, which requires the use of incremental learning algorithms capable of detecting and learning the changes ov
Publikováno v:
Discovery Science: 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019. Proceedings, 306-315
STARTPAGE=306;ENDPAGE=315;TITLE=Discovery Science
Discovery Science ISBN: 9783030337773
DS
STARTPAGE=306;ENDPAGE=315;TITLE=Discovery Science
Discovery Science ISBN: 9783030337773
DS
This paper proposes a new method to measure the relative importance of features in Artificial Neural Networks (ANN) models. Its underlying principle assumes that the more important a feature is, the more the weights, connected to the respective input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ee1d72a537a9f95df0ff123c3e7dbac
https://research.utwente.nl/en/publications/0a234d89-2c8b-408d-b6d9-0a6135c2a1c5
https://research.utwente.nl/en/publications/0a234d89-2c8b-408d-b6d9-0a6135c2a1c5