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Alexander Kathan

Showing results (1-10 of 12) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Novel Insights on Induced Sparsity in Multi-Time Attention NetworksSrividya Tirunellai Rajamani, Kumar Rajamani, Alexander Kathan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature AggregationMaurice Gerczuk, Shahin Amiriparian, Alexander Kathan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Universal Lesion Detection Utilising Cascading R-CNNs and a Novel Video Pretraining MethodShahin Amiriparian, Alexander Meiners, Daniel Rothenpieler, et al.
Patterns (New York, N.Y.)|November 30, 2023
Zero-shot personalization of speech foundation models for depressed mood monitoringMaurice Gerczuk, Andreas Triantafyllopoulos, Shahin Amiriparian, et al.
Patterns (New York, N.Y.)|December 26, 2022
Audio self-supervised learning: A surveyShuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, et al.
European Eating Disorders Review : the Journal of the Eating Disorders Association|October 4, 2025
Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History-Findings From a Machine Learning Analysis of Speech DataJana Katharina Throm, Manuel Milling, Andreas Triantafyllopoulos, et al.
Heliyon|January 1, 2024
Ecology & computer audition: Applications of audio technology to monitor organisms and environmentBjörn W Schuller, Alican Akman, Yi Chang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Personalised Speech-Based PTSD Prediction Using Weighted-Instance LearningAlexander Kathan, Shahin Amiriparian, Andreas Triantafyllopoulos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Journaling Data for Daily PHQ-2 Depression Prediction and ForecastingAlexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Depression Diagnosis and Forecast based on Mobile Phone Sensor DataXiangheng He, Andreas Triantafyllopoulos, Alexander Kathan, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Novel Insights on Induced Sparsity in Multi-Time Attention NetworksSrividya Tirunellai Rajamani, Kumar Rajamani, Alexander Kathan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature AggregationMaurice Gerczuk, Shahin Amiriparian, Alexander Kathan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Universal Lesion Detection Utilising Cascading R-CNNs and a Novel Video Pretraining MethodShahin Amiriparian, Alexander Meiners, Daniel Rothenpieler, et al.
Patterns (New York, N.Y.)|November 30, 2023
Zero-shot personalization of speech foundation models for depressed mood monitoringMaurice Gerczuk, Andreas Triantafyllopoulos, Shahin Amiriparian, et al.
Patterns (New York, N.Y.)|December 26, 2022
Audio self-supervised learning: A surveyShuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, et al.
European Eating Disorders Review : the Journal of the Eating Disorders Association|October 4, 2025
Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History-Findings From a Machine Learning Analysis of Speech DataJana Katharina Throm, Manuel Milling, Andreas Triantafyllopoulos, et al.
Heliyon|January 1, 2024
Ecology & computer audition: Applications of audio technology to monitor organisms and environmentBjörn W Schuller, Alican Akman, Yi Chang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Personalised Speech-Based PTSD Prediction Using Weighted-Instance LearningAlexander Kathan, Shahin Amiriparian, Andreas Triantafyllopoulos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Journaling Data for Daily PHQ-2 Depression Prediction and ForecastingAlexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Depression Diagnosis and Forecast based on Mobile Phone Sensor DataXiangheng He, Andreas Triantafyllopoulos, Alexander Kathan, et al.
Pageof 2