Ibrahim Almubark

According to our database, Ibrahim Almubark authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Machine learning approaches to identify Parkinson's disease using voice signal features.

Raya Alshammri, Ghaida Alharbi, Ebtisam Alharbi, Ibrahim Almubark

Frontiers Artif. Intell., February, 2023

Brain Stroke Prediction Using Machine Learning Techniques.

Ibrahim Almubark

Proceedings of the IEEE International Conference on Big Data, 2023

2020

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data.

Ibrahim Almubark, Samah Alsegehy, Xiong Jiang, Lin-Ching Chang

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2019

Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques.

Ibrahim Almubark, Lin-Ching Chang, Thanh Nguyen, Raymond Scott Turner, Xiong Jiang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Similarity Matching for Workflows in Medical Domain Using Topic Modeling.

Khalid Khawaji, Ibrahim Almubark, Abdullah Almalki, Bradley D. Taylor

Proceedings of the 2018 IEEE World Congress on Services, 2018

Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device.

Tan Tran, Lin-Ching Chang, Ibrahim Almubark, Elaine M. Bochniewicz, Liqi Shu, Peter S. Lum, Alexander Dromerick

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke.

Ibrahim Almubark, Lin-Ching Chang, Rahsaan J. Holley, iian Black, Ji Chen, Evan Chan, Alexander Dromerick, Peter S. Lum

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018