Javier Orduz

According to our database, Javier Orduz authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats.

Pablo Rivas, Javier Orduz, Tonni Das Jui, Casimer M. DeCusatis, Bikram Khanal

Mach. Learn. Knowl. Extr., June, 2024

2023

Supercomputing leverages quantum machine learning and Grover's algorithm.

Bikram Khanal, Javier Orduz, Pablo Rivas, Erich Baker

J. Supercomput., April, 2023

2022

A review of Earth Artificial Intelligence.

Ziheng Sun, Laura Sandoval, Robert Crystal-Ornelas, S. Mostafa Mousavi, Jinbo Wang, Cindy Lin, Nicoleta Cristea, Daniel Q. Tong, Wendy Hawley Carande, Xiaogang Ma, Yuhan Rao, James A. Bednar, Amanda Tan, Jianwu Wang, Sanjay Purushotham, Thomas E. Gill, Julien Chastang, Daniel Howard, Benjamin Holt, Chandana Gangodagamage, Peisheng Zhao, Zachary Chester, Javier Orduz, Aji John

Comput. Geosci., 2022

Artificial Intelligence Computing at the Quantum Level.

Olawale Ayoade, Pablo Rivas-Perea, Javier Orduz

Data, 2022

2021

Evaluating Accuracy and Adversarial Robustness of Quanvolutional Neural Networks.

Korn Sooksatra, Pablo Rivas, Javier Orduz

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Quantum Machine Learning: A Case Study of Grover's Algorithm.

Bikram Khanal, Pablo Rivas, Javier Orduz, Alibek Zhakubayev

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Human Activity Classification Using Basic Machine Learning Models.

Bikram Khanal, Pablo Rivas, Javier Orduz

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Hybrid Quantum Variational Autoencoders for Representation Learning.

Pablo Rivas, Liang Zhao, Javier Orduz

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021