Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Ren, Z.; Chang, Y.; Nejdl, W.; Schuller, B.W.: Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition. In: Acta Acustica 6 (2022), 29. DOI: https://doi.org/10.1051/aacus/2022029
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
Gottfried Wilhelm Leibniz Universität Hannover
- (when)
-
2022
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
Technische Informationsbibliothek (TIB)
- (when)
-
2022
- Creator
- DOI
-
10.15488/12807
- URN
-
urn:nbn:de:101:1-2022101302092141939442
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ren, Zhao
- Chang, Yi
- Nejdl, Wolfgang
- Schuller, Björn
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2022
Other Objects (12)
Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition
Attention-based Robot Learning of Haptic Interaction
Recovering Missing Firm Characteristics with Attention-Based Machine Learning
Using attention-based neural networks for predicting student learning outcomes in service-learning
An attention-based deep learning for acute lymphoblastic leukemia classification
Pretraining of attention-based deep learning potential model for molecular simulation
Federated learning for network attack detection using attention-based graph neural networks
AttentionDDI: Siamese attention-based deep learning method for drug–drug interaction predictions
Attention-based deep residual learning network for entity relation extraction in Chinese EMRs
ECG signal reconstruction from PPG using a hybrid attention-based deep learning network
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
Automatic Detection and Classification of Cough Events Based on Deep Learning
Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition
Attention-based Robot Learning of Haptic Interaction
Recovering Missing Firm Characteristics with Attention-Based Machine Learning
Using attention-based neural networks for predicting student learning outcomes in service-learning
An attention-based deep learning for acute lymphoblastic leukemia classification
Pretraining of attention-based deep learning potential model for molecular simulation
Federated learning for network attack detection using attention-based graph neural networks
AttentionDDI: Siamese attention-based deep learning method for drug–drug interaction predictions
Attention-based deep residual learning network for entity relation extraction in Chinese EMRs
ECG signal reconstruction from PPG using a hybrid attention-based deep learning network
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
Automatic Detection and Classification of Cough Events Based on Deep Learning
Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition
Attention-based Robot Learning of Haptic Interaction
Recovering Missing Firm Characteristics with Attention-Based Machine Learning
Using attention-based neural networks for predicting student learning outcomes in service-learning
An attention-based deep learning for acute lymphoblastic leukemia classification
Pretraining of attention-based deep learning potential model for molecular simulation
Federated learning for network attack detection using attention-based graph neural networks
AttentionDDI: Siamese attention-based deep learning method for drug–drug interaction predictions
Attention-based deep residual learning network for entity relation extraction in Chinese EMRs
ECG signal reconstruction from PPG using a hybrid attention-based deep learning network
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology