collaborators

6 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.CR2026

Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection

Md Zakir Hossain, Md Ayshik Rahman Khan, Md Rafiqul Islam +2

The growth of networked and IoT systems has intensified cyber-security threats and exposed the limits of traditional signature-based intrusion detection. Although machine-learning-…

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.…

eess.AS2025

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…

cs.CV2025

Unsupervised Search for Ethnic Minorities' Medical Segmentation Training Set

Yixiao Chen, Yue Yao, Ruining Yang +3

This article investigates the critical issue of dataset bias in medical imaging, with a particular emphasis on racial disparities caused by uneven population distribution in datase…