- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 7, 5, S. e1212-
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg, Wiley
- (when)
-
2017
- Creator
- DOI
-
10.1002/widm.1212
- URN
-
urn:nbn:de:bvb:384-opus4-666469
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:53 PM CET
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
- Sagha, Hesam
- Cummins, Nicholas
- Schuller, Björn
- Universität Augsburg, Wiley
Time of origin
- 2017
Other Objects (12)
Five crucial challenges in digital health
Adversarial training in affective computing and sentiment analysis: recent advances and perspectives
Sentiment analysis using image-based deep spectrum features
Advanced data exploitation in speech analysis: an overview
Speech analysis for health: current state-of-the-art and the increasing impact of deep learning
Continuous emotion recognition in speech: do we need recurrence?
Calibrated prediction intervals for neural network regressors
Sentiment analysis and opinion mining: on optimal parameters and performances
Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives
Implementing gender-dependent vowel-level analysis for boosting speech-based depression recognition
Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments
Feature selection in multimodal continuous emotion prediction
Five crucial challenges in digital health
Adversarial training in affective computing and sentiment analysis: recent advances and perspectives
Sentiment analysis using image-based deep spectrum features
Advanced data exploitation in speech analysis: an overview
Speech analysis for health: current state-of-the-art and the increasing impact of deep learning
Continuous emotion recognition in speech: do we need recurrence?
Calibrated prediction intervals for neural network regressors
Sentiment analysis and opinion mining: on optimal parameters and performances
Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives
Implementing gender-dependent vowel-level analysis for boosting speech-based depression recognition
Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments
Feature selection in multimodal continuous emotion prediction
Five crucial challenges in digital health
Adversarial training in affective computing and sentiment analysis: recent advances and perspectives
Sentiment analysis using image-based deep spectrum features
Advanced data exploitation in speech analysis: an overview
Speech analysis for health: current state-of-the-art and the increasing impact of deep learning
Continuous emotion recognition in speech: do we need recurrence?
Calibrated prediction intervals for neural network regressors
Sentiment analysis and opinion mining: on optimal parameters and performances
Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives
Implementing gender-dependent vowel-level analysis for boosting speech-based depression recognition
Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments