102 citations · 746 across the 75 of their papers we have counts for
9 papers · 1 filter
Multi-label Multi-task Deep Learning for Behavioral Coding
James Gibson, David C. Atkins, Torrey Creed +3
We propose a methodology for estimating human behaviors in psychotherapy sessions using mutli-label and multi-task learning paradigms. We discuss the problem of behavioral coding i…
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction
Homa Hosseinmardi, Amir Ghasemian, Shrikanth Narayanan +2
Today's densely instrumented world offers tremendous opportunities for continuous acquisition and analysis of multimodal sensor data providing temporal characterization of an indiv…
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition
Che-Wei Huang, Shrikanth S. Narayanan
Regularization is crucial to the success of many practical deep learning models, in particular in a more often than not scenario where there are only a few to a moderate number of…
Measuring Conversational Productivity in Child Forensic Interviews
Victor Ardulov, Manoj Kumar, Shanna Williams +2
Child Forensic Interviewing (FI) presents a challenge for effective information retrieval and decision making. The high stakes associated with the process demand that expert legal…
Semi-supervised and Transfer learning approaches for low resource sentiment classification
Rahul Gupta, Saurabh Sahu, Carol Espy-Wilson +1
Sentiment classification involves quantifying the affective reaction of a human to a document, media item or an event. Although researchers have investigated several methods to rel…
Towards an Unsupervised Entrainment Distance in Conversational Speech using Deep Neural Networks
Md Nasir, Brian Baucom, Shrikanth Narayanan +1
Entrainment is a known adaptation mechanism that causes interaction participants to adapt or synchronize their acoustic characteristics. Understanding how interlocutors tend to ada…