Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold. - Ali Alfatemi; Hong Peng; Wentao Rong; Bin Zhang 050; Hongmin Cai (BMC Medical Informatics Decis. Mak., 2022)

Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios. - Zeinab Mahmoud; Chunlin Li 001; Marco Zappatore; Aiman Solyman; Ali Alfatemi; Ashraf Osman Ibrahim; Abdelzahir Abdelmaboud (PeerJ Comput. Sci., 2023)

Optimizing the impact of data augmentation for low-resource grammatical error correction. - Aiman Solyman; Marco Zappatore; Zhenyu Wang 001; Zeinab Mahmoud; Ali Alfatemi; Ashraf Osman Ibrahim; Lubna Abdel Kareim Gabralla (J. King Saud Univ. Comput. Inf. Sci., 2023)

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach. - Fernando Martinez 003; Mariyam Mapkar; Ali Alfatemi; Mohamed Rahouti; Yufeng Xin; Kaiqi Xiong; Nasir Ghani (ICCCN, 2024)

Refining Bird Species Identification through GAN-Enhanced Data Augmentation and Deep Learning Models. - Ali Alfatemi; Sarah A. L. Jamal; Nasim Paykari; Mohamed Rahouti; Ruhul Amin; Abdellah Chehri (KES, 2024)

Multi-Label Classification with Deep Learning and Manual Data Collection for Identifying Similar Bird Species. - Ali Alfatemi; Sarah A. L. Jamal; Nasim Paykari; Mohamed Rahouti; Abdellah Chehri (KES, 2024)

Precision DDoS Detection through Gaussian Noise-Augmented Neural Networks. - Ali Alfatemi; Diogo Oliveira; Mohamed Rahouti; Abdelatif Hafid; Nasir Ghani (NoF, 2024)

Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling. - Ali Alfatemi; Mohamed Rahouti; Ruhul Amin; Sarah ALJamal; Kaiqi Xiong; Yufeng Xin (CoRR, 2024)

Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators. - Abdelatif Hafid; Maad Ebrahim; Ali Alfatemi; Mohamed Rahouti; Diogo Oliveira (CoRR, 2024)

Optimizing Control Strategies for Wheeled Mobile Robots Using Fuzzy Type I and II Controllers and Parallel Distributed Compensation. - Nasim Paykari; Razieh Jokar; Ali Alfatemi; Damian M. Lyons; Mohamed Rahouti (CoRR, 2024)

Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data. - Mohammed Aledhari; Mohamed Rahouti; Ali Alfatemi (CoRR, 2024)

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness. - Senthil Kumar Jagatheesaperumal; Mohamed Rahouti; Ali Alfatemi; Nasir Ghani; Vu Khanh Quy; Abdellah Chehri (IEEE Internet Things Mag., 2024)

ProtoMAML: A Hybrid Meta-Learning Approach Integrating Prototypical Networks for Data-Efficient DDoS Attack Detection. - Ali Alfatemi; Mohamed Rahouti; Zakirul Alam Bhuiyan; Aiman Solyman; Mohammed Aledhari (IWCMC, 2025)

Identifying Distributed Denial of Service Attacks through Multi-Model Deep Learning Fusion and Combinatorial Analysis. - Ali Alfatemi; Mohamed Rahouti; D. Frank Hsu; Christina Schweikert; Nasir Ghani; Aiman Solyman; Mohammad Iqbal Saryuddin Assaqty (J. Netw. Syst. Manag., 2025)

Integrating Robotic Navigation with Blockchain: A Novel PoS-Based Approach for Heterogeneous Robotic Teams. - Nasim Paykari; Ali Alfatemi; Damian M. Lyons; Mohamed Rahouti (CoRR, 2025)