Emad A. Mohammed
Orcid: 0000-0001-8722-4856Affiliations:
- Thompson Rivers University, Faculty of Science, Department of Engineering, Kamloops, BC, Canada
- University of Calgary, Department of Electrical and Software Engineering, Schulich School of Engineering, Alberta, Canada, (PhD 2016)
- Lakehead University, Department of Software Engineering, Ontario, Canada
According to our database1,
Emad A. Mohammed
authored at least 24 papers
between 2013 and 2023.
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Bibliography
2023
Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus.
SN Comput. Sci., September, 2023
Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
2022
Explainable Analytics to Predict the Quality of Life in Patients with Prostate Cancer from Longitudinal Data.
Appl. Artif. Intell., 2022
2021
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis.
CoRR, 2021
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease.
CoRR, 2021
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Important Features Identification for Prostate Cancer Patients Stratification Using Isolation Forest and Interactive Clustering Method.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the IEEE Intl Conf on Dependable, 2021
2020
A Method for Alternatives Ranking Using an OWA Operator Based on the Laplace Distribution.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
2019
Proceedings of the Big Data Innovations and Applications, 2019
2018
Application of Data Mining Techniques to Predict the Length of Stay of Hospitalized Patients with Diabetes.
Proceedings of the 4th International Conference on Big Data Innovations and Applications, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
2017
Toward leveraging big value from data: chronic lymphocytic leukemia cell classification.
Netw. Model. Anal. Health Informatics Bioinform., 2017
2016
Analysis of Alternatives and Performance Evaluation Using a New OWA Operator based on the Laplace Distribution.
PhD thesis, 2016
2015
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015
2014
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends.
BioData Min., 2014
2013
Application of Support Vector Machine and k-means clustering algorithms for robust chronic lymphocytic leukemia color cell segmentation.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013
Chronic lymphocytic leukemia cell segmentation from microscopic blood images using watershed algorithm and optimal thresholding.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013
Automatic working area localization in blood smear microscopic images using machine learning algorithms.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013