Semantic Clone Detection Using Machine Learning. - Abdullah Sheneamer; Jugal Kalita (ICMLA, 2016)

Schemes for Labeling Semantic Code Clones using Machine Learning. - Abdullah Sheneamer; Hanan Hazazi; Swarup Roy; Jugal Kalita (ICMLA, 2017)

CCDLC Detection Framework-Combining Clustering with Deep Learning Classification for Semantic Clones. - Abdullah Sheneamer (ICMLA, 2018)

A detection framework for semantic code clones and obfuscated code. - Abdullah Sheneamer; Swarup Roy; Jugal Kalita (Expert Syst. Appl., 2018)

An Automatic Advisor for Refactoring Software Clones Based on Machine Learning. - Abdullah Sheneamer (IEEE Access, 2020)

An Effective Semantic Code Clone Detection Framework Using Pairwise Feature Fusion. - Abdullah Sheneamer; Swarup Roy; Jugal Kalita (IEEE Access, 2021)

Multiple Similarity-based Features Blending for Detecting Code Clones using Consensus-Driven Classification. - Abdullah Sheneamer (Expert Syst. Appl., 2021)

Brain Tumour Detection Using Stacked Deep Learning Approaches. - Abdullah Sheneamer (ICECET, 2023)

Early Predicting of Students Performance in Higher Education. - Essa Alhazmi; Abdullah Sheneamer (IEEE Access, 2023)

Graph-of-Code: Semantic Clone Detection Using Graph Fingerprints. - Essa A. Alhazami; Abdullah M. Sheneamer (IEEE Trans. Software Eng., 2023)

Visualized Malware Images using Hybrid Ensemble Deep Transfer Learning. - Abdullah Sheneamer (ICICT, 2024)

Enhancing Precision Agriculture and Land Cover Classification: A Self-Attention 3D Convolutional Neural Network Approach for Hyperspectral Image Analysis. - C. Kishor Kumar Reddy; Advaitha Daduvy; R. Madana Mohana; Basem Assiri; Mohammed Shuaib; Shadab Alam; Abdullah M. Sheneamer (IEEE Access, 2024)

Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices. - C. Kishor Kumar Reddy; Vijaya Sindhoori Kaza; R. Madana Mohana; Abdulrahman Alamer; Shadab Alam; Mohammed Shuaib; Sultan Basudan; Abdullah Sheneamer (PeerJ Comput. Sci., 2024)

Vulnerable JavaScript functions detection using stacking of convolutional neural networks. - Abdullah Sheneamer (PeerJ Comput. Sci., 2024)

A multi-scale convolutional LSTM-dense network for robust cardiac arrhythmia classification from ECG signals. - C. Kishor Kumar Reddy; Advaitha Daduvy; Vijaya Sindhoori Kaza; Mohammed Shuaib; Muhammad Mohzary; Shadab Alam; Abdullah Sheneamer (Comput. Biol. Medicine, 2025)