A deep transfer learning approach for improved post-traumatic stress disorder diagnosis

Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews

(2016)   IEEE Transactions on Affective Computing

Bridging a translational gap: using machine learning to improve the prediction of PTSD

(2015) Karen-Inge Karstoft et al.   BMC Psychiatry

Quantitative forecasting of PTSD from early trauma responses: A Machine Learning application

(2014) Isaac R. Galatzer-Levy et al.   JOURNAL OF PSYCHIATRIC RESEARCH

How well can post-traumatic stress disorder be predicted from pre-trauma risk factors? An exploratory study in the WHO World Mental Health Surveys

(2014) Ronald C. Kessler et al.   World Psychiatry

Robust Emotional Stressed Speech Detection Using Weighted Frequency Subbands

(2011) John H. L. Hansen et al.   EURASIP Journal on Advances in Signal Processing

Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

(2010) Rafael A Calvo et al.   IEEE Transactions on Affective Computing

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING