collaborators

5 papers

cs.LG2024

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…

eess.SP2024

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…

eess.SP2024

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…

cs.LG2024

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…

cs.LG2023

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…