1 citations · 1 across the 5 of their papers we have counts for
5 papers
Knowledge-guided EEG Representation Learning
Aditya Kommineni, Kleanthis Avramidis, Richard Leahy +1
Self-supervised learning has produced impressive results in multimedia domains of audio, vision and speech. This paradigm is equally, if not more, relevant for the domain of biosig…
Evaluating Atypical Gaze Patterns through Vision Models: The Case of Cortical Visual Impairment
Kleanthis Avramidis, Melinda Y. Chang, Rahul Sharma +2
A wide range of neurological and cognitive disorders exhibit distinct behavioral markers aside from their clinical manifestations. Cortical Visual Impairment (CVI) is a prime examp…
Scaling Representation Learning from Ubiquitous ECG with State-Space Models
Kleanthis Avramidis, Dominika Kunc, Bartosz Perz +5
Ubiquitous sensing from wearable devices in the wild holds promise for enhancing human well-being, from diagnosing clinical conditions and measuring stress to building adaptive hea…
Signal Processing Grand Challenge 2023 -- e-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients
Kleanthis Avramidis, Kranti Adsul, Digbalay Bose +1
This paper presents the approach and results of USC SAIL's submission to the Signal Processing Grand Challenge 2023 - e-Prevention (Task 2), on detecting relapses in psychotic pati…
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning
Kleanthis Avramidis, Mohammad Rostami, Melinda Chang +1
Papilledema is an ophthalmic neurologic disorder in which increased intracranial pressure leads to swelling of the optic nerves. Undiagnosed papilledema in children may lead to bli…