23 citations · 30 across the 12 of their papers we have counts for
12 papers
Beyond the Fold: Quantifying Split-Level Noise and the Case for Leave-One-Dataset-Out AU Evaluation
Saurabh Hinduja, Gurmeet Kaur, Maneesh Bilalpur +2
Subject-exclusive cross-validation is the standard evaluation protocol for facial Action Unit (AU) detection, yet reported improvements are often small. We show that cross-validati…
Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories
Maneesh Bilalpur, Megan Hamm, Young Ji Lee +3
Storytelling is a powerful form of communication and may provide insights into factors contributing to gaps in healthcare outcomes. To determine whether Large Language Models (LLMs…
Generative Foundation Model for Structured and Unstructured Electronic Health Records
Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji +6
Electronic health records (EHRs) are rich clinical data sources but complex repositories of patient data, spanning structured elements (demographics, vitals, lab results, codes), u…
On the Validity of Head Motion Patterns as Generalisable Depression Biomarkers
Monika Gahalawat, Maneesh Bilalpur, Raul Fernandez Rojas +3
Depression is a debilitating mood disorder negatively impacting millions worldwide. While researchers have explored multiple verbal and non-verbal behavioural cues for automated de…
Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues
Maneesh Bilalpur, Mert Inan, Dorsa Zeinali +2
Addressing the critical shortage of mental health resources for effective screening, diagnosis, and treatment remains a significant challenge. This scarcity underscores the need fo…
EEG-based Cognitive Load Estimation of Acoustic Parameters for Data Sonification
Gulshan Sharma, Surbhi Madan, Maneesh Bilalpur +2
Sonification is a data visualization technique which expresses data attributes via psychoacoustic parameters, which are non-speech audio signals used to convey information. This pa…
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning
Arushi Sharma, Abhibha Gupta, Maneesh Bilalpur
To advance argumentative stance prediction as a multimodal problem, the First Shared Task in Multimodal Argument Mining hosted stance prediction in crucial social topics of gun con…
Gender and Emotion Recognition from Implicit User Behavior Signals
Maneesh Bilalpur, Seyed Mostafa Kia, Mohan Kankanhalli +1
This work explores the utility of implicit behavioral cues, namely, Electroencephalogram (EEG) signals and eye movements for gender recognition (GR) and emotion recognition (ER) fr…
Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations
Viral Parekh, Maneesh Bilalpur, Sharavan Kumar +3
We examine if EEG-based cognitive load (CL) estimation is generalizable across the character, spatial pattern, bar graph and pie chart-based visualizations for the nback~task. CL i…
EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification
Maneesh Bilalpur, Mohan Kankanhalli, Stefan Winkler +1
Data Visualization has been receiving growing attention recently, with ubiquitous smart devices designed to render information in a variety of ways. However, while evaluations of v…
Gender and Emotion Recognition with Implicit User Signals
Maneesh Bilalpur, Seyed Mostafa Kia, Manisha Chawla +2
We examine the utility of implicit user behavioral signals captured using low-cost, off-the-shelf devices for anonymous gender and emotion recognition. A user study designed to exa…
Discovering Gender Differences in Facial Emotion Recognition via Implicit Behavioral Cues
Maneesh Bilalpur, Seyed Mostafa Kia, Tat-Seng Chua +1
We examine the utility of implicit behavioral cues in the form of EEG brain signals and eye movements for gender recognition (GR) and emotion recognition (ER). Specifically, the ex…