4 documents found, page 1 of 1
A Machine Learning Early Warning System: Multicenter Validation in Brazilian Ho...
Kobylarz, Jonathan; Santos, Henrique; Barletta, Felipe; Silva, Mateus; Vieira, Renata; Morales, Hugo; Rocha, CristianEarly recognition of clinical deterioration is one of the main steps for reducing inpatient morbidity and mortality. The challenging task of clinical deterioration identification in hospitals lies in the intense daily routines of healthcare practitioners, in the unconnected patient data stored in the Electronic Health Records (EHRs) and in the usage of low accuracy scores. Since hospital wards are given less at...
Evaluating the performance and improving the usability of parallel and distribu...
Silva, Mateus; Meyer, Vinicius; Kirchoff, Dionatrã; Neto, Joaquim; Vieira, Renata; De Rose, CesarThe representation of words by means of vectors, also called Word Embeddings (WE), has been receiving great attention from the Natural Language Processing (NLP) field. WE models are able to express syntactic and semantic similarities, as well as relationships and contexts of words within a given corpus. Although the most popular implementations of WE algorithms present low scalability, there are new approaches ...
TRY plant trait database – enhanced coverage and open access
Kattge, Jens; Bönisch, Gerhard; Díaz, Sandra; Lavorel, Sandra; Prentice, Iain Colin; Leadley, Paul; Tautenhahn, Susanne; Werner, Gijsbert D. A.Made available in DSpace on 2020-12-12T01:00:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; AXA Research Fund; Max-Planck-Gesellschaft; Natural Environment Research Council; Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem ...
Silent television: S_TV
Silva, Emanuel; Maximiano, Filipa; Silva, Mateus; Ferreira, Rui; Rodrigues, NunoThis paper presents a solution that allows the users of a certain place to hear the sound of a TV, even if they are in a noisy environment. This gives the users a more efficient way to hear the sound of televisions in places where the volume of noise is high. The solution, named "s_TV" comprises two modules: the transmitter and the receiver. The transmitter module is composed by equipment to capture and transmi...