Fernando Martínez-López

According to our database, Fernando Martínez-López authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

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, Nordine Quadar

ACM Trans. Priv. Secur., August, 2025

In-Context Reinforcement Learning via Communicative World Models.

Fernando Martinez-Lopez, Tao Li, Yingdong Lu, Juntao Chen

CoRR, August, 2025

SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics.

Fernando Martinez-Lopez, Juntao Chen, Yingdong Lu

CoRR, February, 2025

Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks.

Fernando Martinez-Lopez, Lesther Santana, Mohamed Rahouti

CoRR, January, 2025

2024

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach.

Fernando Martinez, Mariyam Mapkar, Ali Alfatemi, Mohamed Rahouti, Yufeng Xin, Kaiqi Xiong, Nasir Ghani

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

GPT vs. Llama2: Which Comes Closer to Human Writing?

Fernando Martinez, Gary M. Weiss, Miguel Palma, Haoran Xue, Alexander Borelli, Yijun Zhao

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Comparative Analysis of Machine Learning and Traditional Forecasting Methods in Bitcoin Price Prediction.

Ying Shen, Zhengxin Qi, Fernando Martinez, Mohamed Rahouti, D. Frank Hsu, Diogo Oliveira

Proceedings of the 6th International Conference on Blockchain Computing and Applications, 2024

2023

Rediscovering Fraud Detection in Bitcoin Transactions Using Machine Learning Models.

Fernando Martinez, Mohamed Rahouti, Abdellah Chehri, Ruhul Amin, Nasir Ghani

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Integrating Multiple Visual Attention Mechanisms in Deep Neural Networks.

Fernando Martinez, Yijun Zhao

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023