1 citations · 1 across the 2 of their papers we have counts for
7 papers
Interpretable Heart Disease Prediction via a Weighted Ensemble Model: A Large-Scale Study with SHAP and Surrogate Decision Trees
Md Abrar Hasnat, Md Jobayer, Md. Mehedi Hasan Shawon +1
Cardiovascular disease (CVD) remains a critical global health concern, demanding reliable and interpretable predictive models for early risk assessment. This study presents a large…
Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages?
Tawsif Tashwar Dipto, Azmol Hossain, Rubayet Sabbir Faruque +12
Conventional research on speech recognition modeling relies on the canonical form for most low-resource languages while automatic speech recognition (ASR) for regional dialects is…
RegSpeech12: A Regional Corpus of Bengali Spontaneous Speech Across Dialects
Md. Rezuwan Hassan, Azmol Hossain, Kanij Fatema +13
The Bengali language, spoken extensively across South Asia and among diasporic communities, exhibits considerable dialectal diversity shaped by geography, culture, and history. Pho…
SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation
Ummy Maria Muna, Md Mehedi Hasan Shawon, Md Jobayer +3
The automated analysis of phonocardiograms is vital for the early diagnosis of cardiovascular disease, yet supervised deep learning is often constrained by the scarcity of expert-a…
FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis
Md. Sajeebul Islam Sk., Md Jobayer, Md Mehedi Hasan Shawon +1
Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, underscoring the importance of accurate and scalable diagnostic systems. Electrocardiogram (ECG) analy…
SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification
Ummay Maria Muna, Md. Mehedi Hasan Shawon, Md Jobayer +2
Brain-computer interfaces (BCI) in electroencephalography (EEG)-based motor imagery classification offer promising solutions in neurorehabilitation and assistive technologies by en…