Emad A. Mohammed

Orcid: 0000-0001-8722-4856

Affiliations:
  • 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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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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
Deep Learning Approach for Aggressive Driving Behaviour Detection.
CoRR, 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

A Traditional Machine Learning Approach for COVID-19 Detection from CT Images.
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

TentNet: Deep Learning Tent Detection Algorithm Using A Synthetic Training Approach.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
A Cluster-Based Machine Learning Model for Large Healthcare Data Analysis.
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

Visualization of Server Log Data for Detecting Abnormal Behaviour.
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

Breast tumor classification using a new OWA operator.
Expert Syst. Appl., 2016

2015
Short-term travel time estimation: A case study.
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


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