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20202026
most citedToward Interpretable Sleep Stage Classification Using Cross-Modal Transformers

53 citations · 78 across the 28 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection

Nithira Jayarathne, Naveen Basnayake, Keshawa Jayasundara +6

Detecting deepfake images is crucial in combating misinformation. We present a lightweight, generalizable binary classification model based on EfficientNet-B6, fine-tuned with tran…

eess.SP2025

Interpretable Multimodal EEG-ECG Framework for Neonatal Seizure Prediction and Patient-Adaptive Transfer Learning

Sithmini Ranasingha, Agasthi Haputhanthri, Hansa Marasinghe +5

Neonatal seizures carry substantial risks of acute brain injury and long-term neurodevelopmental impairment, motivating the need for timely identification of impending seizure acti…

eess.SY2025

A Simultaneous ECG-PCG Acquisition System with Real-Time Burst-Adaptive Noise Cancellation

Avishka Herath, Malith Jayalath, Kumudu Kaushalya +7

Cardiac auscultation is an essential clinical skill, requiring excellent hearing to distinguish subtle differences in timing and pitch of heart sounds. However, diagnosing solely f…

eess.SP2025

Radar and Acoustic Sensor Fusion using a Transformer Encoder for Robust Drone Detection and Classification

Gevindu Ganganath, Pasindu Sankalpa, Samal Punsara +4

The use of drones in a wide range of applications is steadily increasing. However, this has also raised critical security concerns such as unauthorized drone intrusions into restri…

cs.CV2025

Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology

Nirhoshan Sivaroopan, Chamuditha Jayanga Galappaththige, Chalani Ekanayake +4

Machine-learning-assisted cancer subtyping is a promising avenue in digital pathology. Cancer subtyping models, however, require careful training using expert annotations so that t…

eess.SP2025

An Active Dry-Contact Continuous EEG Monitoring System for Seizure Detection Applications in Clinical Neurophysiology

Nima L. Wickramasinghe, Dinuka Sandun Udayantha, Akila Abeyratne +5

Objective: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe long-term neurological conseq…

cs.CV2025

Arbitrary Volumetric Refocusing of Dense and Sparse Light Fields

Tharindu Samarakoon, Kalana Abeywardena, Chamira U. S. Edussooriya

A four-dimensional light field (LF) captures both textural and geometrical information of a scene in contrast to a two-dimensional image that captures only the textural information…