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Manuel Milling

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

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Scientific Reports|April 25, 2026
A frequency analysis of filterbank initialisation and noise augmentation for LEAFManuel Milling, Andreas Triantafyllopoulos, Simon D N Rampp, et al.
Frontiers in Digital Health|June 2, 2022
Is Speech the New Blood? Recent Progress in AI-Based Disease Detection From Audio in a NutshellManuel Milling, Florian B Pokorny, Katrin D Bartl-Pokorny, 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
NeuroCellCentreDB: Exploring a Novel Dataset for Neuron-like Cell Centre Detection with Deep Neural NetworksManuel Milling, Michelle Lienhart, Yuliia Oksymets, et al.
The Science of the Total Environment|July 17, 2021
Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approachJakob Schaefer, Manuel Milling, Björn W Schuller, et al.
Frontiers in Robotics and AI|January 27, 2021
Synchronization in Interpersonal SpeechShahin Amiriparian, Jing Han, Maximilian Schmitt, et al.
The Science of the Total Environment|May 21, 2023
Airborne pollen grain detection from partially labelled data utilising semi-supervised learningBenjamin Jin, Manuel Milling, Maria Pilar Plaza, 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|February 3, 2025
Automating airborne pollen classification: Identifying and interpreting hard samples for classifiersManuel Milling, Simon D N Rampp, 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
Scientific Reports|April 25, 2026
A frequency analysis of filterbank initialisation and noise augmentation for LEAFManuel Milling, Andreas Triantafyllopoulos, Simon D N Rampp, et al.
Frontiers in Digital Health|June 2, 2022
Is Speech the New Blood? Recent Progress in AI-Based Disease Detection From Audio in a NutshellManuel Milling, Florian B Pokorny, Katrin D Bartl-Pokorny, 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
NeuroCellCentreDB: Exploring a Novel Dataset for Neuron-like Cell Centre Detection with Deep Neural NetworksManuel Milling, Michelle Lienhart, Yuliia Oksymets, et al.
The Science of the Total Environment|July 17, 2021
Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approachJakob Schaefer, Manuel Milling, Björn W Schuller, et al.
Frontiers in Robotics and AI|January 27, 2021
Synchronization in Interpersonal SpeechShahin Amiriparian, Jing Han, Maximilian Schmitt, et al.
The Science of the Total Environment|May 21, 2023
Airborne pollen grain detection from partially labelled data utilising semi-supervised learningBenjamin Jin, Manuel Milling, Maria Pilar Plaza, 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|February 3, 2025
Automating airborne pollen classification: Identifying and interpreting hard samples for classifiersManuel Milling, Simon D N Rampp, 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.
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