Considerations for a more ethical approach to data in AI: on data representation and infrastructure
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Frontiers in Big Data, 3, S. 25-
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2020
- Ereignis
-
Veröffentlichung
- (wer)
-
Frontiers Media S.A.
- (wann)
-
2020
- Urheber
- DOI
-
10.3389/fdata.2020.00025
- URN
-
urn:nbn:de:bvb:384-opus4-794008
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Baird, Alice
- Schuller, Björn
- Universität Augsburg
- Frontiers Media S.A.
Entstanden
- 2020
Ähnliche Objekte (12)
Editorial: Ethical Machine Learning and Artificial Intelligence
DeepSpectrumLite: a power-efficient transfer learning framework for embedded speech and audio processing from decentralised data
A deep audiovisual approach for human confidence classification
Voice analysis for neurological disorder recognition – a systematic review and perspective on emerging trends
International journal of public health
Bifactor exploratory structural equation modeling: a meta-analytic review of model fit
Silence after narratives by patients in psychodynamic psychotherapy: a conversation analytic study
Automatische Emotionserkennung aus sprachlicher und manueller Interaktion
Multistage linguistic conditioning of convolutional layers for speech emotion recognition
Evaluating the COVID-19 identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from audio challenges
Focused review on artificial intelligence for disease detection in infants
Linguistic Variation and Change in 250 Years of English Scientific Writing: A Data-Driven Approach
Editorial: Ethical Machine Learning and Artificial Intelligence
DeepSpectrumLite: a power-efficient transfer learning framework for embedded speech and audio processing from decentralised data
A deep audiovisual approach for human confidence classification
Voice analysis for neurological disorder recognition – a systematic review and perspective on emerging trends
International journal of public health
Bifactor exploratory structural equation modeling: a meta-analytic review of model fit
Silence after narratives by patients in psychodynamic psychotherapy: a conversation analytic study
Automatische Emotionserkennung aus sprachlicher und manueller Interaktion
Multistage linguistic conditioning of convolutional layers for speech emotion recognition
Evaluating the COVID-19 identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from audio challenges
Focused review on artificial intelligence for disease detection in infants
Linguistic Variation and Change in 250 Years of English Scientific Writing: A Data-Driven Approach
Editorial: Ethical Machine Learning and Artificial Intelligence
DeepSpectrumLite: a power-efficient transfer learning framework for embedded speech and audio processing from decentralised data
A deep audiovisual approach for human confidence classification
Voice analysis for neurological disorder recognition – a systematic review and perspective on emerging trends
International journal of public health
Bifactor exploratory structural equation modeling: a meta-analytic review of model fit
Silence after narratives by patients in psychodynamic psychotherapy: a conversation analytic study
Automatische Emotionserkennung aus sprachlicher und manueller Interaktion
Multistage linguistic conditioning of convolutional layers for speech emotion recognition
Evaluating the COVID-19 identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from audio challenges
Focused review on artificial intelligence for disease detection in infants