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ORCIDFernando Martínez-López
Person information
- affiliation: Fordham University, New York City, NY, USA
Other persons with the same name
- Fernando Martinez (aka: Fernando Martínez) — disambiguation page
- Fernando Martínez-Reyes
![[0000-0002-6607-7559]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6607-7559")
(aka: Fernando Martínez 0002, Fernando Martinez 0002) — Autonomous University of Chihuahua, Faculty of Engineering, Chihuahua, Mexico (and 1 more) - Fernando Martínez 0004 (aka: Fernando Martinez 0004, Fernando Martínez-Rodrigo) — University of Valladolid, Department of Electronics Technology, Valladolid, Spain
- Fernando Martínez 0005 (aka: Fernando Martinez 0005) — Telefonica, I+D (TID), Madrid, Spain
- Fernando Martinez 0001 — IBM Argentina, La Plata, Buenos Aires, Argentina
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2020 – today
- 2026
[j2]Fernando Martinez-Lopez, Lesther Santana, Mohamed Rahouti, Abdellah Chehri, Shawqi Al-Maliki, Gwanggil Jeon:
Learning in Multiple Spaces: Prototypical Few-Shot Learning With Metric Fusion for Next-Generation Network Security. IEEE Trans. Netw. Serv. Manag. 23: 3156-3165 (2026)- 2025
- [j1]Malek Al-Zewairi, Sufyan Almajali, Moussa Ayyash, Mohamed Rahouti, Fernando Martinez, Nordine Quadar:
Multi-Stage Enhanced Zero Trust Intrusion Detection System for Unknown Attack Detection in Internet of Things and Traditional Networks. ACM Trans. Priv. Secur. 28(3): 30:1-30:28 (2025) - [i4]Fernando Martinez-Lopez, Lesther Santana, Mohamed Rahouti:
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks. CoRR abs/2501.00050 (2025) - [i3]Fernando Martinez-Lopez, Juntao Chen, Yingdong Lu:
SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics. CoRR abs/2502.14264 (2025) - [i2]Fernando Martinez-Lopez, Tao Li, Yingdong Lu, Juntao Chen:
In-Context Reinforcement Learning via Communicative World Models. CoRR abs/2508.06659 (2025) - 2024
- [c5]Ying Shen, Zhengxin Qi, Fernando Martinez, Mohamed Rahouti, D. Frank Hsu, Diogo Oliveira:
Comparative Analysis of Machine Learning and Traditional Forecasting Methods in Bitcoin Price Prediction. BCCA 2024: 8-15 - [c4]Fernando Martinez, Gary M. Weiss, Miguel Palma, Haoran Xue, Alexander Borelli, Yijun Zhao:
GPT vs. Llama2: Which Comes Closer to Human Writing? EDM 2024 - [c3]Fernando Martinez, Mariyam Mapkar, Ali Alfatemi, Mohamed Rahouti, Yufeng Xin, Kaiqi Xiong, Nasir Ghani:
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach. ICCCN 2024: 1-9 - [i1]Fernando Martinez, Mariyam Mapkar, Ali Alfatemi, Mohamed Rahouti, Yufeng Xin, Kaiqi Xiong, Nasir Ghani:
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach. CoRR abs/2406.02632 (2024) - 2023
- [c2]Fernando Martinez, Yijun Zhao:
Integrating Multiple Visual Attention Mechanisms in Deep Neural Networks. COMPSAC 2023: 1191-1196 - [c1]Fernando Martinez, Mohamed Rahouti, Abdellah Chehri, Ruhul Amin, Nasir Ghani:
Rediscovering Fraud Detection in Bitcoin Transactions Using Machine Learning Models. WF-IoT 2023: 1-6
Coauthor Index
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