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Shahin Amiriparian

Showing results (1-10 of 18) with videos related to

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Iscience|July 20, 2022
motilitAI: A machine learning framework for automatic prediction of human sperm motilitySandra Ottl, Shahin Amiriparian, Maurice Gerczuk, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Low Level Texture Features for Snore Sound DiscriminationFatih Demir, Abdulkadir Sengur, Nicholas Cummins, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infectionNicholas Cummins, Maximilian Schmitt, Shahin Amiriparian, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Deep Unsupervised Representation Learning for Abnormal Heart Sound ClassificationShahin Amiriparian, Maximilian Schmitt, Nicholas Cummins, et al.
Frontiers in Artificial Intelligence|April 4, 2022
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized DataShahin Amiriparian, Tobias Hübner, Vincent Karas, 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.
Trends in Hearing|November 9, 2021
New Avenues in Audio Intelligence: Towards Holistic Real-life Audio UnderstandingBjörn Schuller, Alice Baird, Alexander Gebhard, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 18, 2023
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion RecognitionMani Kumar Tellamekala, Shahin Amiriparian, Bjorn W Schuller, 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.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Iscience|July 20, 2022
motilitAI: A machine learning framework for automatic prediction of human sperm motilitySandra Ottl, Shahin Amiriparian, Maurice Gerczuk, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Low Level Texture Features for Snore Sound DiscriminationFatih Demir, Abdulkadir Sengur, Nicholas Cummins, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infectionNicholas Cummins, Maximilian Schmitt, Shahin Amiriparian, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Deep Unsupervised Representation Learning for Abnormal Heart Sound ClassificationShahin Amiriparian, Maximilian Schmitt, Nicholas Cummins, et al.
Frontiers in Artificial Intelligence|April 4, 2022
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized DataShahin Amiriparian, Tobias Hübner, Vincent Karas, 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.
Trends in Hearing|November 9, 2021
New Avenues in Audio Intelligence: Towards Holistic Real-life Audio UnderstandingBjörn Schuller, Alice Baird, Alexander Gebhard, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 18, 2023
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion RecognitionMani Kumar Tellamekala, Shahin Amiriparian, Bjorn W Schuller, 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.
Pageof 2