collaborators

7 papers

eess.SP2026

FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time

Md Jobayer, Md. Mehedi Hasan Shawon, Md Zakir Hossain +4

Heart murmurs are abnormal sounds caused by turbulent blood flow in the heart. Several diagnostic methods are available to detect heart murmurs and their severity, including cardia…

cs.CV2026

Privacy-Preserving Empathy Detection in Video Interactions

Md Rakibul Hasan, Md Zakir Hossain, Aneesh Krishna +2

Detecting empathy from video interactions has emerging applications, yet raw videos that could be used for training AI models are rarely available due to privacy and ethical constr…

cs.CL2025

UPLME: Uncertainty-Aware Probabilistic Language Modelling for Robust Empathy Regression

Md Rakibul Hasan, Md Zakir Hossain, Aneesh Krishna +2

Noisy self-reported empathy scores challenge supervised learning for empathy regression. While many algorithms have been proposed for learning with noisy labels in textual classifi…

cs.HC2025

Are You Really Empathic? Evidence from Trait, State and Speaker-Perceived Empathy, and Physiological Signals

Md Rakibul Hasan, Md Zakir Hossain, Aneesh Krishna +2

When someone claims to be empathic, it does not necessarily mean they are perceived as empathic by the person receiving it. Empathy promotes supportive communication, yet the relat…

cs.HC2025

Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods

Md Rakibul Hasan, Md Zakir Hossain, Shreya Ghosh +2

Empathy indicates an individual's ability to understand others. Over the past few years, empathy has drawn attention from various disciplines, including but not limited to Affectiv…

cs.CL2025

Labels Generated by Large Language Models Help Measure People's Empathy in Vitro

Md Rakibul Hasan, Yue Yao, Md Zakir Hossain +4

Large language models (LLMs) have revolutionised many fields, with LLM-as-a-service (LLMSaaS) offering accessible, general-purpose solutions without costly task-specific training.…