A survey of software clone detection techniques A Sheneamer, J Kalita International Journal of Computer Applications 137 (10), 1-21, 2016 | 134 | 2016 |
Semantic clone detection using machine learning A Sheneamer, J Kalita 2016 15th IEEE international conference on machine learning and applications …, 2016 | 72 | 2016 |
A detection framework for semantic code clones and obfuscated code A Sheneamer, S Roy, J Kalita Expert Systems with Applications 97, 405-420, 2018 | 39 | 2018 |
Code clone detection using coarse and fine-grained hybrid approaches A Sheneamer, J Kalita 2015 IEEE seventh international conference on intelligent computing and …, 2015 | 27 | 2015 |
An automatic advisor for refactoring software clones based on machine learning AM Sheneamer IEEE Access 8, 124978-124988, 2020 | 24 | 2020 |
CCDLC detection framework-combining clustering with deep learning classification for semantic clones A Sheneamer 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 15 | 2018 |
Comparison of Deep and Traditional Learning Methods for Email Spam Filtering A Sheneamer International Journal of Advanced Computer Science and Applications(IJACSA …, 2021 | 14 | 2021 |
Early predicting of students performance in higher education E Alhazmi, A Sheneamer IEEE Access 11, 27579-27589, 2023 | 12 | 2023 |
Schemes for labeling semantic code clones using machine learning A Sheneamer, H Hazazi, S Roy, J Kalita 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 10 | 2017 |
An effective semantic code clone detection framework using pairwise feature fusion A Sheneamer, S Roy, J Kalita IEEE Access 9, 84828-84844, 2021 | 9 | 2021 |
Multiple Similarity-based Features Blending for Detecting Code Clones using Consensus-Driven Classification AM Sheneamer Expert Systems with Applications, 115364, 2021 | 4 | 2021 |
Graph-of-Code: Semantic Clone Detection Using Graph Fingerprints EA Alhazami, AM Sheneamer IEEE Transactions on Software Engineering, 2023 | 1 | 2023 |
Two Approaches of Natural Numbers Sorting: TAISN and Improved Array-Indexed Algorithms A Sheneamer, A Alharthi, H Hazazi International Journal of Computer Applications 121 (8), 1-6, 2015 | 1 | 2015 |
Vulnerable JavaScript functions detection using stacking of convolutional neural networks A Sheneamer PeerJ Computer Science 10, e1838, 2024 | | 2024 |
Brain Tumour Detection Using Stacked Deep Learning Approaches A Sheneamer 2023 International Conference on Electrical, Computer and Energy …, 2023 | | 2023 |
Non-Orthogonal Random Access (NORA) in Large Cellular Networks E Alhazmi, A Sheneamer IEEE ACCESS 11, 27579-27589, 2023 | | 2023 |
CODE OBFUSCATION DETECTION USING DEEP MERGING IMAGE-BASED SIMILARITY A Sheneamer Jazan Journal of Applied Sciences, 2023 | | 2023 |
A Comparative Study of COVID-19 Detection Using Deep and Machine Learning Methods BA Abdullah Sheneamer , Hanan Farahat , Ebtehal Hamdi , Mona Qahtani IJCSNS International Journal of Computer Science and Network Security, 2022 | | 2022 |
Empirical Analysis of Learning-based Malware Detection Methods using Image Visualization A Sheneamer, E Alhazmi, J Henrydoss International Journal of Advanced Computer Science and Applications 13 (4), 2022 | | 2022 |
Detection and Analysis of Software Clones AM Sheneamer University of Colorado Colorado Springs, 2017 | | 2017 |