Time-series data arises in many real-world applications (e.g., mobile health) and deep neural networks (DNNs) have shown great success solving them. Despite their success, little is known about robustness to adversarial attacks. In this paper, we propose a novel framework referred as Time-Series Attacks via STATistical Features (TSA-STAT). To address the unique challenges of time-series domain,...

Introduction: Raman spectroscopy, that is a spectroscopic technique based on inelastic scattering of monochromatic light, can provide valuable information about molecular vibrations, so using this technique we can study molecular changes in a sample. Material and Methods: In this research, 153 Raman spectra obtained from normal and dried skin samples. Baseline and electrical noise were eliminat...

introduction: the purpose of this study was to assess prevalence and possible variables on the change of diagnosis in mood disorder patients to schizophrenia. methods: this study was a retrospective and comparative analytic research that was performed in 2006 at razi psychiatric hospital. the study included all of the 176 patients who were hospitalized in 2000 with diagnosis of a mood disorder....