This is your work, valued
Researcher working at the intersection of Machine Learning and Cognitive Science. More projects can be found at my lab's website: github.com/Arsu-Lab
EEGExtract. A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
80EEG-Channel-Interpolation-Using-Deep-Encoder-Decoder-Networks. Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"
27Feature-Imitating-Networks. Code for the paper "Feature Imitating Networks" by Sari Saba-Sadiya, Tuka Alhanai, and Mohammad M Ghassemi. Published in ICASSP 2022.
8EEG-Artifact-Correction-Via-Completion. Code for the artifact correction section from the paper "Unsupervised EEG Artifact Detection and Correction".
6Portfolio-Optimization-with-Python. Portfolio optimization using python: using simple concepts from Modern Portfolio Theory (MPT) to pick stocks based on past performance. This partial version is intended as an exercise for CSE 440 students.
3Perceptron-Models. Building a simple perception classifier for hand digit recognition (MNIST dataset). This partial version is intended as an exercise for CSE 440 students.
1PenPalApp. PenPalApp (ROCPAL) development repository
1EEGLAB-Artifact-Detection. Pipeline for using EEGLAB with EEGEXtract for unsupervised atrifact detection
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