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2020 – today
- 2023
[c8]Mann Patel, Heba Elgazzar:
Classification of Road Objects Using Convolutional Neural Networks. CCWC 2023: 326-332- [c7]Tyler Ward
, Sherif Rashad, Heba Elgazzar:
Machine Learning Based Pedestrian Detection and Tracking for Autonomous Vehicles. CCWC 2023: 1294-1299 - 2022
- [j1]Kyle Spurlock, Heba Elgazzar:
A genetic mixed-integer optimization of neural network hyper-parameters. J. Supercomput. 78(12): 14680-14702 (2022) - [c6]David Mayo, Heba Elgazzar:
Predicting Cryptocurrency Price Change Direction from Supply-Side Factors via Machine Learning Methods. AIIoT 2022: 330-336 - [c5]Dalton Hensley, Heba Elgazzar:
Classification of Stroke Victims through Supervised Machine Learning Algorithms and Ensemble Learning. CCWC 2022: 58-64 - 2020
- [c4]Kyle Spurlock, Heba Elgazzar:
Predicting COVID-19 Infection Groups using Social Networks and Machine Learning Algorithms. UEMCON 2020: 245-251 - [i2]Craigory Coppola, Heba Elgazzar:
Novel Machine Learning Algorithms for Centrality and Cliques Detection in Youtube Social Networks. CoRR abs/2002.03893 (2020)
2010 – 2019
- 2019
- [c3]Asim Chaudhry, Heba Elgazzar:
Design and Implementation of a Hybrid Face Recognition Technique. CCWC 2019: 384-391 - [c2]S. Sareh Ahmadi, Sherif Rashad, Heba Elgazzar:
Machine Learning Models for Activity Recognition and Authentication of Smartphone Users. UEMCON 2019: 561-567 - [c1]S. Sareh Ahmadi, Sherif Rashad, Heba Elgazzar:
Efficient Feature Selection for Intrusion Detection Systems. UEMCON 2019: 1029-1034 - 2018
- [i1]Heba Elgazzar, Adel Elmaghraby:
Evolutionary Centrality and Maximal Cliques in Mobile Social Networks. CoRR abs/1809.02282 (2018)
Coauthor Index
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