4 accepted papers
Digital phenotyping (DP) is a multidisciplinary field of science that quantifies the individual level phenotype through active and passive data. Although DP is a multidisciplinary field, there lacks a technical and a systematic approach to representing DP. This work proposes the development of digit…
This paper introduces a first of its kind dataset for audio scene analysis (ASA) and presents a baseline approach for audio source counting. SARdBScene is developed to promote research for audio source counting, as a relatively new ASA task, and present a comprehensive dataset that covers a variety…
The challenge of dysphonia voice studies is always the small dataset. It is difficult to apply more sophisticated deep learning techniques without overfitting or underfitting. Convolutional neural network (CNN) is a powerful classifier that requires a large amount of training data. Data augmentation…
A new method for the regularization of the objective function for the reconstruction of the foot-gait signal from compressively sensed measurements is proposed. The method is based on using the l2 norm of the first-order difference to regularize the objective function. The state-of-the-art first-ord…