Improving DNNs for time-series classification using state and gradient abstraction-based preprocessing
Itzhak, Nevo ; Tal, Shahar ; Cohen, Hadas ; Daniel, Osher ; Kopylov, Roze ; Moskovitch, Robert
- Link zu diesem Datensatz
- https://d-nb.info/1382989687
- Titel
- Improving DNNs for time-series classification using state and gradient abstraction-based preprocessing
- Art des Inhalts
- Teil eines Werks
- Verfassangaben
- by Nevo Itzhak, Shahar Tal, Hadas Cohen, Osher Daniel, Roze Kopylov, Robert Moskovitch
- Autor(en)
-
- Itzhak, Nevo
- Tal, Shahar
- Cohen, Hadas
- Daniel, Osher
- Kopylov, Roze
- Moskovitch, Robert
- Organisation(en)
-
- SpringerLink (Online service)
- Zeitliche Einordnung
- Erscheinungsdatum: 2025
- Umfang/Format
- 1 Online-Ressource.
- DOI
- 10.1007/s00521-025-11550-6
- Online
- https://doi.org/10.1007/s00521-025-11550-6
- Sprache
- eng
- Schlagwörter
-
- (lcsh)Artificial intelligence.
- (lcsh)Data mining.
- (lcsh)Computer science—Mathematics.
- (lcsh)Mathematical statistics.
- (lcsh)Mathematics—Data processing.
- (lcsh)Computer vision.
- (lcsh)Bioinformatics.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Probability and Statistics in Computer Science.
- Computational Science and Engineering.
- Computer Vision.
- Computational and Systems Biology.
- Frühere/spätere Titel
-
- Enthalten in: Neural computing & applications
- Enthalten in: Neural computing & applications
- Enthalten in: Neural computing & applications
- Stand
- 10.02.2026 12:31
- Im Katalog seit
- 07.03.2026