1 citations · 1 across the 6 of their papers we have counts for
6 papers
LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring
Shadi Sartipi, Mie Andersen, Natalie Hauglund +4
Efficiently identifying sleep stages is crucial for unraveling the intricacies of sleep in both preclinical and clinical research. The labor-intensive nature of manual sleep scorin…
Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
Shadi Sartipi, Mujdat Cetin
Automated emotion recognition using electroencephalogram (EEG) signals has gained substantial attention. Although deep learning approaches exhibit strong performance, they often su…
Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification
Shadi Sartipi, Mujdat Cetin
Motor imagery (MI) classification based on electroencephalogram (EEG) is a widely-used technique in non-invasive brain-computer interface (BCI) systems. Since EEG recordings suffer…
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
Shadi Sartipi, Mujdat Cetin
Although deep learning-based algorithms have demonstrated excellent performance in automated emotion recognition via electroencephalogram (EEG) signals, variations across brain sig…
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition
Shadi Sartipi, Mastaneh Torkamani-Azar, Mujdat Cetin
Recently, physiological data such as electroencephalography (EEG) signals have attracted significant attention in affective computing. In this context, the main goal is to design a…
Manifold Regularization for Memory-Efficient Training of Deep Neural Networks
Shadi Sartipi, Edgar A. Bernal
One of the prevailing trends in the machine- and deep-learning community is to gravitate towards the use of increasingly larger models in order to keep pushing the state-of-the-art…