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Emad A. Mohammed 0001
Person information
- affiliation: Thompson Rivers University, Faculty of Science, Department of Engineering, Kamloops, BC, Canada
- affiliation (PhD 2016): University of Calgary, Department of Electrical and Software Engineering, Schulich School of Engineering, Alberta, Canada,
- affiliation: Lakehead University, Department of Software Engineering, Ontario, Canada
Other persons with the same name
- Emad A. Mohammed — disambiguation page
- Emad A. Mohammed 0002 — Northern Technical University, Technical Engineering College, Mosul, Iraq
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2020 – today
- 2023
- [j5]Esmaeil Shakeri
, Trafford Crump, Ezekiel Weis, Emad Mohammed, Roberto Souza, Behrouz H. Far:
Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus. SN Comput. Sci. 4(5): 433 (2023) - [c15]Esmaeil Shakeri, Emad Mohammed, Trafford Crump, Ezekiel Weis, Carol L. Shields, Sandor R. Ferenczy, Behrouz H. Far:
Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis. IRI 2023: 215-220 - 2022
- [j4]Fatemeh Sharifi
Explainable Analytics to Predict the Quality of Life in Patients with Prostate Cancer from Longitudinal Data. Appl. Artif. Intell. 36(1) (2022) - 2021
- [c14]Sultanul Kabir, Emad A. Mohammed, Khobaib Zaamout, Salama Ikki
A Traditional Machine Learning Approach for COVID-19 Detection from CT Images. DASC/PiCom/CBDCom/CyberSciTech 2021: 256-263 - [c13]Esmaeil Shakeri, Emad A. Mohammed, Zahra Shakeri Hossein Abad, Behrouz Homayoun Far:
Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning. EMBC 2021: 2472-2475 - [c12]Kuo Yang, Emad A. Mohammed, Behrouz H. Far:
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. IRI 2021: 326-333 - [c11]Emad A. Mohammed, Esmaeil Shakeri, Zahra Shakeri Hossein Abad, Trafford Crump, Behrouz H. Far:
Important Features Identification for Prostate Cancer Patients Stratification Using Isolation Forest and Interactive Clustering Method. IRI 2021: 334-341 - [i4]Kuo Yang, Emad A. Mohammed:
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease. CoRR abs/2101.01781 (2021) - [i3]Kuo Yang, Emad A. Mohammed, Behrouz H. Far:
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. CoRR abs/2102.13517 (2021) - [i2]Farid Talebloo, Emad A. Mohammed, Behrouz H. Far:
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis. CoRR abs/2109.08996 (2021) - [i1]Farid Talebloo, Emad A. Mohammed, Behrouz H. Far:
Deep Learning Approach for Aggressive Driving Behaviour Detection. CoRR abs/2111.04794 (2021) - 2020
- [c10]Emad A. Mohammed, Christopher T. Naugler, Behrouz H. Far:
A Method for Alternatives Ranking Using an OWA Operator Based on the Laplace Distribution. SMC 2020: 88-95 - [c9]Andrew Fisher, Emad A. Mohammed, Vijay Mago
TentNet: Deep Learning Tent Detection Algorithm Using A Synthetic Training Approach. SMC 2020: 860-867
2010 – 2019
- 2019
- [c8]Fatemeh Sharifi, Emad Mohammed, Trafford Crump, Behrouz H. Far:
A Cluster-Based Machine Learning Model for Large Healthcare Data Analysis. Innovate-Data 2019: 92-106 - 2018
- [c7]Sahil Dhankhad, Emad Mohammed, Behrouz H. Far:
Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study. IRI 2018: 122-125 - [c6]Reeta Suman, Behrouz H. Far, Emad A. Mohammed, Ashok Nair, Sanaz Janbakhsh:
Visualization of Server Log Data for Detecting Abnormal Behaviour. IRI 2018: 244-247 - [c5]Ayman Diyab Alahmar
Application of Data Mining Techniques to Predict the Length of Stay of Hospitalized Patients with Diabetes. Innovate-Data 2018: 38-43 - 2017
- [j3]Emad A. Mohammed
Toward leveraging big value from data: chronic lymphocytic leukemia cell classification. Netw. Model. Anal. Health Informatics Bioinform. 6(1): 6 (2017) - 2016
- [b1]Emad Mohammed:
Analysis of Alternatives and Performance Evaluation Using a New OWA Operator based on the Laplace Distribution. University of Calgary, Alberta, Canada, 2016 - [j2]Emad A. Mohammed, Christopher T. Naugler, Behrouz H. Far:
Breast tumor classification using a new OWA operator. Expert Syst. Appl. 61: 302-313 (2016) - 2015
- [c4]Emad A. Mohammed, Charan Aulakh, Diwakar Krishnamurthy, Christopher T. Naugler, Behrouz H. Far:
Short-term travel time estimation: A case study. CCECE 2015: 489-496 - 2014
- [j1]Emad A. Mohammed, Behrouz Homayoun Far, Christopher Naugler:
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends. BioData Min. 7: 22 (2014) - 2013
- [c3]Emad A. Mohammed, Behrouz H. Far, Mostafa M. A. Mohamed, Christopher Naugler:
Automatic working area localization in blood smear microscopic images using machine learning algorithms. BIBM 2013: 43-50 - [c2]Emad A. Mohammed, Mostafa M. A. Mohamed, Christopher Naugler, Behrouz H. Far:
Chronic lymphocytic leukemia cell segmentation from microscopic blood images using watershed algorithm and optimal thresholding. CCECE 2013: 1-5 - [c1]Emad A. Mohammed, Behrouz Homayoun Far, Mostafa M. A. Mohamed, Christopher Naugler:
Application of Support Vector Machine and k-means clustering algorithms for robust chronic lymphocytic leukemia color cell segmentation. Healthcom 2013: 622-626
Coauthor Index
aka: Behrouz H. Far
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