Analyzing the Importance of Sensors for Mode of Transportation Classification.

Friedrich, Björn; Lübbe, Carolin; Hein, Andreas

Friedrich, Björn; Lübbe, Carolin; Hein, Andreas.

Afiliação

Friedrich B; Department of Health Services Research, Medicine Faculty, Carl von Ossietzky University Oldenburg, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany.
Lübbe C; Department of Health Services Research, Medicine Faculty, Carl von Ossietzky University Oldenburg, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany.
Hein A; Department of Health Services Research, Medicine Faculty, Carl von Ossietzky University Oldenburg, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany.

Sensors (Basel) ; 21(1)2020 Dec 29.

Article em En | MEDLINE | ID: mdl-33383854

Palavras-chave

SHL challenge; deep neural network; explainability; feature visualization; mode of transportation classification

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google