Ensemble Learning for Cough-Based Subject-Independent COVID-19 Detection
V Conversano, S Ntalampiras - Proceedings of the 12th International …, 2023 - air.unimi.it
This paper belongs to the medical acoustics field and presents a solution for COVID-19
detection based on the cough sound events. Unfortunately, the use of RT-PCR Molecular …
detection based on the cough sound events. Unfortunately, the use of RT-PCR Molecular …
Applied Anomaly Detection: a Bayesian Approach to Improve Robustness
P Danti, A Innocenti - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
The main drivers of the development and production of new energy devices are energy
device efficiency and machinery maintenance strategies. The former to minimize pollutant …
device efficiency and machinery maintenance strategies. The former to minimize pollutant …
Towards Improved Bankruptcy Prediction: Utilizing Variational Autoencoder Latent Representations in a Norwegian Context
T Khiem Tran, A Tariq - 2023 - biopen.bi.no
This thesis conducts a rigorous examination of the potential for Variational Autoencoder
(VAE)-derived latent embeddings to enhance the performance of classification algorithms …
(VAE)-derived latent embeddings to enhance the performance of classification algorithms …