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Found 10 papers, 5 papers with code
Evaluating Atypical Gaze Patterns through Vision Models: The Case of Cortical Visual Impairment
A wide range of neurological and cognitive disorders exhibit distinct behavioral markers aside from their clinical manifestations.
Knowledge-guided EEG Representation Learning
We also propose a novel knowledge-guided pre-training objective that accounts for the idiosyncrasies of the EEG signal.
Scaling Representation Learning from Ubiquitous ECG with State-Space Models
We train this model in a self-supervised manner with 275, 000 10s ECG recordings collected in the wild and evaluate it on a range of downstream tasks.
Signal Processing Grand Challenge 2023 -- e-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients
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 patients.
Multimodal Estimation of Change Points of Physiological Arousal in Drivers
Detecting unsafe driving states, such as stress, drowsiness, and fatigue, is an important component of ensuring driving safety and an essential prerequisite for automatic intervention systems in vehicles.
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning
Papilledema is an ophthalmic neurologic disorder in which increased intracranial pressure leads to swelling of the optic nerves.
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation
The study of Music Cognition and neural responses to music has been invaluable in understanding human emotions.
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms
Sound Event Detection and Audio Classification tasks are traditionally addressed through time-frequency representations of audio signals such as spectrograms.
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition
Emotion Recognition from EEG signals has long been researched as it can assist numerous medical and rehabilitative applications.
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest.
