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20212023
most citedToward Interpretable Sleep Stage Classification Using Cross-Modal Transformers

53 citations · 56 across the 5 of their papers we have counts for

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5 papers

eess.AS2023

Evaluation of Noise Reduction Methods for Sentence Recognition by Sinhala Speaking Listeners

Malitha Gunawardhana, Chathuki Navanjana, Dinithi Fernando +2

Noise reduction is a crucial aspect of hearing aids, which researchers have been striving to address over the years. However, most existing noise reduction algorithms have primaril…

eess.SP2022

A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data

Mithunjha Anandakumar, Jathurshan Pradeepkumar, Simon L. Kappel +2

Sleep plays a crucial role in the well-being of human lives. Traditional sleep studies using Polysomnography are associated with discomfort and often lower sleep quality caused by…

cs.LG2022★ 53 cited

Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers

Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan +4

Accurate sleep stage classification is significant for sleep health assessment. In recent years, several machine-learning based sleep staging algorithms have been developed , and i…

eess.SP2021

A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds

Ramith Hettiarachchi, Udith Haputhanthri, Kithmini Herath +6

Diagnosing pre-existing heart diseases early in life is important as it helps prevent complications such as pulmonary hypertension, heart rhythm problems, blood clots, heart failur…

eess.IV2021★ 3 cited

A Thickness Sensitive Vessel Extraction Framework for Retinal and Conjunctival Vascular Tortuosity Analysis

Ashwin De Silva, Malsha V. Perera, Navodini Wijethilake +3

Systemic diseases such as diabetes, hypertension, atherosclerosis are among the leading causes of annual human mortality rate. It is suggested that retinal and conjunctival vascula…