Zobrazeno 1 - 10
of 394
pro vyhledávání: '"Henriques, Rui"'
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 4, p e26075 (2021)
BackgroundIn the face of the current COVID-19 pandemic, the timely prediction of upcoming medical needs for infected individuals enables better and quicker care provision when necessary and management decisions within health care systems. ObjectiveT
Externí odkaz:
https://doaj.org/article/fb4e70464e814b428f24ccd74ff2af21
Pattern discovery plays a central role in both descriptive and predictive tasks across multiple domains. Actionable patterns must meet rigorous statistical significance criteria and, in the presence of target variables, further uphold discriminative
Externí odkaz:
http://arxiv.org/abs/2401.12000
Tensor data analysis allows researchers to uncover novel patterns and relationships that cannot be obtained from matrix data alone. The information inferred from the patterns provides valuable insights into disease progression, bioproduction processe
Externí odkaz:
http://arxiv.org/abs/2306.00643
Biclustering algorithms play a central role in the biotechnological and biomedical domains. The knowledge extracted supports the extraction of putative regulatory modules, essential to understanding diseases, aiding therapy research, and advancing bi
Externí odkaz:
http://arxiv.org/abs/2212.05340
Collaborative Filtering (CF), the most common approach to build Recommender Systems, became pervasive in our daily lives as consumers of products and services. However, challenges limit the effectiveness of Collaborative Filtering approaches when dea
Externí odkaz:
http://arxiv.org/abs/2211.08366
Autor:
Calhas, David, Henriques, Rui
Topographical structures represent connections between entities and provide a comprehensive design of complex systems. Currently these structures are used to discover correlates of neuronal and haemodynamical activity. In this work, we incorporate th
Externí odkaz:
http://arxiv.org/abs/2203.03481
Tese de mestrado integrado. Engenharia Electrotécnica e de Computadores (Automação). Universidade do Porto. Faculdade de Engenharia. 2011
Externí odkaz:
http://hdl.handle.net/10216/61265
Ongoing traffic changes, including those triggered by the COVID-19 pandemic, reveal the necessity to adapt our public transport systems to the ever-changing users' needs. This work shows that single and multi objective stances can be synergistically
Externí odkaz:
http://arxiv.org/abs/2201.11616
Publikováno v:
In Knowledge-Based Systems 21 June 2024 294
Publikováno v:
In Cities June 2024 149