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Ibrahim Almubark
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2020 – today
- 2025
- [j3]Ibrahim Almubark
:
Exploring the Impact of Large Language Models on Disease Diagnosis. IEEE Access 13: 8225-8238 (2025) - 2024
- [j2]Ibrahim Almubark
Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding. IEEE Access 12: 192079-192089 (2024) - 2023
- [j1]Raya Alshammri, Ghaida Alharbi, Ebtisam Alharbi, Ibrahim Almubark:
Machine learning approaches to identify Parkinson's disease using voice signal features. Frontiers Artif. Intell. 6 (2023) - [c6]Ibrahim Almubark:
Brain Stroke Prediction Using Machine Learning Techniques. IEEE Big Data 2023: 6104-6108 - 2020
- [c5]Ibrahim Almubark, Samah Alsegehy, Xiong Jiang, Lin-Ching Chang:
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data. IJCCI 2020: 439-446
2010 – 2019
- 2019
- [c4]Ibrahim Almubark, Lin-Ching Chang
Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques. IEEE BigData 2019: 5971-5973 - 2018
- [c3]Ibrahim Almubark, Lin-Ching Chang
Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke. IEEE BigData 2018: 5291-5294 - [c2]Tan Tran, Lin-Ching Chang
Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device. IEEE BigData 2018: 5457-5459 - [c1]Khalid Khawaji, Ibrahim Almubark, Abdullah Almalki, Bradley D. Taylor:
Similarity Matching for Workflows in Medical Domain Using Topic Modeling. SERVICES 2018: 19-20
Coauthor Index
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last updated on 2025-01-26 23:47 CET by the dblp team
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