Ibrahim Almubark

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Normal Controls

Robust Classification

Early Detection

Machine Learning

Top Venues

Frontiers Artif. Intell.

Publications

Ibrahim Almubark
Brain Stroke Prediction Using Machine Learning Techniques. BigData (2023)
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)
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)
Ibrahim Almubark, Lin-Ching Chang, Thanh Nguyen, Raymond Scott Turner, Xiong Jiang
Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques. IEEE BigData (2019)
Tan Tran, Lin-Ching Chang, Ibrahim Almubark, Elaine M. Bochniewicz, Liqi Shu, Peter S. Lum, Alexander Dromerick
Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device. IEEE BigData (2018)
Ibrahim Almubark, Lin-Ching Chang, Rahsaan J. Holley, iian Black, Ji Chen, Evan Chan, Alexander Dromerick, Peter S. Lum
Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke. IEEE BigData (2018)
Khalid Khawaji, Ibrahim Almubark, Abdullah Almalki, Bradley D. Taylor
Similarity Matching for Workflows in Medical Domain Using Topic Modeling. SERVICES (2018)