45 citations · 58 across the 10 of their papers we have counts for
10 papers
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…
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…
Frequency-Specific Neural Response and Cross-Correlation Analysis of Envelope Following Responses to Native Speech and Music Using Multichannel EEG Signals: A Case Study
Md. Mahbub Hasan, Md Rakibul Hasan, Md Zakir Hossain +1
Although native speech and music envelope following responses (EFRs) play a crucial role in auditory processing and cognition, their frequency profile, such as the dominating frequ…
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…
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.…
Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals
Ramya Chandrasekar, Md Rakibul Hasan, Shreya Ghosh +2
Anxiety is a common mental health condition characterised by excessive worry, fear and apprehension about everyday situations. Even with significant progress over the past few year…
MADE-for-ASD: A Multi-Atlas Deep Ensemble Network for Diagnosing Autism Spectrum Disorder
Xuehan Liu, Md Rakibul Hasan, Tom Gedeon +1
In response to the global need for efficient early diagnosis of Autism Spectrum Disorder (ASD), this paper bridges the gap between traditional, time-consuming diagnostic methods an…
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…
DiabetesNet: A Deep Learning Approach to Diabetes Diagnosis
Zeyu Zhang, Khandaker Asif Ahmed, Md Rakibul Hasan +2
Diabetes, resulting from inadequate insulin production or utilization, causes extensive harm to the body. Existing diagnostic methods are often invasive and come with drawbacks, su…
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…