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Björn W Schuller

Showing results (1-10 of 64) with videos related to

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Frontiers in Digital Health|October 29, 2021
Five Crucial Challenges in Digital HealthNicholas Cummins, Björn W Schuller
Pattern Recognition|September 6, 2021
AI-Based human audio processing for COVID-19: A comprehensive overviewGauri Deshpande, Anton Batliner, Björn W Schuller
Methods (San Diego, Calif.)|August 13, 2018
Speech analysis for health: Current state-of-the-art and the increasing impact of deep learningNicholas Cummins, Alice Baird, Björn W Schuller
Frontiers in Big Data|August 30, 2021
Editorial: Ethical Machine Learning and Artificial IntelligenceNovi Quadrianto, Björn W Schuller, Finnian Rachel Lattimore
Frontiers in Digital Health|January 20, 2022
CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough SoundsYi Chang, Xin Jing, Zhao Ren, et al.
Cyborg and Bionic Systems (Washington, D.C.)|April 11, 2023
The Voice of the Body: Why AI Should Listen to It and an ArchiveKun Qian, Bin Hu, Yoshiharu Yamamoto, et al.
Studies in Health Technology and Informatics|February 23, 2026
Explainable AI for HealthcareYupei Li, Qiyang Sun, Alican Akman, et al.
Iscience|July 20, 2022
motilitAI: A machine learning framework for automatic prediction of human sperm motilitySandra Ottl, Shahin Amiriparian, Maurice Gerczuk, et al.
Peerj. Computer Science|June 22, 2023
Automated composition of Galician Xota-tuning RNN-based composers for specific musical styles using deep Q-learningRodrigo Mira, Eduardo Coutinho, Emilia Parada-Cabaleiro, et al.
Scientific Reports|November 22, 2025
Representation learning with parameterised quantum circuits for advancing speech emotion recognitionThejan Rajapakshe, Rajib Rana, Farina Riaz, et al.
Pageof 7

Showing results (1-10 of 64) with videos related to

Sort By:
Pageof 7
Frontiers in Digital Health|October 29, 2021
Five Crucial Challenges in Digital HealthNicholas Cummins, Björn W Schuller
Pattern Recognition|September 6, 2021
AI-Based human audio processing for COVID-19: A comprehensive overviewGauri Deshpande, Anton Batliner, Björn W Schuller
Methods (San Diego, Calif.)|August 13, 2018
Speech analysis for health: Current state-of-the-art and the increasing impact of deep learningNicholas Cummins, Alice Baird, Björn W Schuller
Frontiers in Big Data|August 30, 2021
Editorial: Ethical Machine Learning and Artificial IntelligenceNovi Quadrianto, Björn W Schuller, Finnian Rachel Lattimore
Frontiers in Digital Health|January 20, 2022
CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough SoundsYi Chang, Xin Jing, Zhao Ren, et al.
Cyborg and Bionic Systems (Washington, D.C.)|April 11, 2023
The Voice of the Body: Why AI Should Listen to It and an ArchiveKun Qian, Bin Hu, Yoshiharu Yamamoto, et al.
Studies in Health Technology and Informatics|February 23, 2026
Explainable AI for HealthcareYupei Li, Qiyang Sun, Alican Akman, et al.
Iscience|July 20, 2022
motilitAI: A machine learning framework for automatic prediction of human sperm motilitySandra Ottl, Shahin Amiriparian, Maurice Gerczuk, et al.
Peerj. Computer Science|June 22, 2023
Automated composition of Galician Xota-tuning RNN-based composers for specific musical styles using deep Q-learningRodrigo Mira, Eduardo Coutinho, Emilia Parada-Cabaleiro, et al.
Scientific Reports|November 22, 2025
Representation learning with parameterised quantum circuits for advancing speech emotion recognitionThejan Rajapakshe, Rajib Rana, Farina Riaz, et al.
Pageof 7