activity
20122024
most citedDetection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

154 citations · 413 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2024★ 6 cited

Analysis of Gene Regulatory Networks from Gene Expression Using Graph Neural Networks

Hakan T. Otal, Abdulhamit Subasi, Furkan Kurt +2

Unraveling the complexities of Gene Regulatory Networks (GRNs) is crucial for understanding cellular processes and disease mechanisms. Traditional computational methods often strug…

cs.LG2023★ 11 cited

Electromyography Signal Classification Using Deep Learning

Mekia Shigute Gaso, Selcuk Cankurt, Abdulhamit Subasi

We have implemented a deep learning model with L2 regularization and trained it on Electromyography (EMG) data. The data comprises of EMG signals collected from control group, myop…

q-bio.NC2022★ 124 cited

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari +11

Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits a…

eess.SP2021★ 154 cited

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7

Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients. The electr…

eess.SP2020★ 98 cited

Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi +1

Electroencephalography is frequently used for diagnostic evaluation of various brain-related disorders due to its excellent resolution, non-invasive nature and low cost. However, m…

cs.OH2018★ 1 cited

Hardware implementation of auto-mutual information function for condition monitoring

Harun Siljak, Abdulhamit Subasi, Belle R. Upadhyaya

This study is aimed at showing applicability of mutual information, namely auto-mutual information function for condition monitoring in electrical motors, through age detection in…