60 citations · 83 across the 12 of their papers we have counts for
6 papers · 1 filter
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition
Mimansa Jaiswal, Emily Mower Provost
Many mobile applications and virtual conversational agents now aim to recognize and adapt to emotions. To enable this, data are transmitted from users' devices and stored on centra…
Identifying Mood Episodes Using Dialogue Features from Clinical Interviews
Zakaria Aldeneh, Mimansa Jaiswal, Michael Picheny +2
Bipolar disorder, a severe chronic mental illness characterized by pathological mood swings from depression to mania, requires ongoing symptom severity tracking to both guide and m…
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning
Mimansa Jaiswal, Zakaria Aldeneh, Emily Mower Provost
Various psychological factors affect how individuals express emotions. Yet, when we collect data intended for use in building emotion recognition systems, we often try to do so by…
MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion Annotations
Mimansa Jaiswal, Zakaria Aldeneh, Cristian-Paul Bara +4
Emotion recognition algorithms rely on data annotated with high quality labels. However, emotion expression and perception are inherently subjective. There is generally not a singl…
"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses
Mimansa Jaiswal, Sairam Tabibu, Erik Cambria
In the past few years, social media has risen as a platform where people express and share personal incidences about abuse, violence and mental health issues. There is a need to pi…
The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection
Mimansa Jaiswal, Sairam Tabibu, Rajiv Bajpai
We propose a data-driven method for automatic deception detection in real-life trial data using visual and verbal cues. Using OpenFace with facial action unit recognition, we analy…