Abstract: In this work, we propose a method for domain-incremental learning for audio classification from a sequence of datasets recorded in different acoustic conditions. Fine-tuning a model on a ...

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory ...

We found that the 2000 AIM panel exhibited differentiation efficiency in PCA comparable to that of all loci. Additionally, we constructed a classification machine learning model with an average ...

There are numerous machine learning & AI newsletters, below we feature the best. These enable you to keep up with the latest industry news, important developments, etc. Of course we monitor all of ...

School of Mechanical and Equipment Engineering, Hebei University of Engineering, 19 Taiji Road, Congtai District, HanDan 056038, P. R. China ...

Abstract: Deep learning has demonstrated promising results over traditional hand-crafted methods for automatic modulation classification (AMC), which plays a critical role as an intermediate step ...

the machine learning methods for estimation of the nuisance functions, … the resampling schemes, … the double machine learning algorithm, … the Neyman orthogonal score functions, … It further can be ...