Integrating Multiple Visual Attention Mechanisms in Deep Neural Networks. - Fernando Martinez 003; Yijun Zhao (COMPSAC, 2023)

Rediscovering Fraud Detection in Bitcoin Transactions Using Machine Learning Models. - Fernando Martinez 003; Mohamed Rahouti; Abdellah Chehri; Ruhul Amin; Nasir Ghani (WF-IoT, 2023)

Comparative Analysis of Machine Learning and Traditional Forecasting Methods in Bitcoin Price Prediction. - Ying Shen; Zhengxin Qi; Fernando Martinez 003; Mohamed Rahouti; D. Frank Hsu; Diogo Oliveira (BCCA, 2024)

GPT vs. Llama2: Which Comes Closer to Human Writing? - Fernando Martinez 003; Gary M. Weiss; Miguel Palma; Haoran Xue; Alexander Borelli; Yijun Zhao (EDM, 2024)

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)

Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks. - Fernando Martinez-Lopez; Lesther Santana; Mohamed Rahouti (CoRR, 2025)

SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics. - Fernando Martinez-Lopez; Juntao Chen; Yingdong Lu (CoRR, 2025)

In-Context Reinforcement Learning via Communicative World Models. - Fernando Martinez-Lopez; Tao Li; Yingdong Lu; Juntao Chen (CoRR, 2025)

Multi-Stage Enhanced Zero Trust Intrusion Detection System for Unknown Attack Detection in Internet of Things and Traditional Networks. - Malek Al-Zewairi; Sufyan Almajali; Moussa Ayyash; Mohamed Rahouti; Fernando Martinez 003; Nordine Quadar (ACM Trans. Priv. Secur., 2025)