Pablo Rivas

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Convolutional Neural Network

Machine Learning

Top Venues

INNS DLIA@IJCNN

Publications

Korn Sooksatra, Greg Hamerly, Pablo Rivas
Is ReLU Adversarially Robust? CoRR (2024)
Pablo Rivas, Tomás Cerný, Alejandro Rodríguez Pérez, Javier Turek, Laurie Giddens, Gisela Bichler, Stacie Petter
On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity. CoRR (2024)
Tonni Das Jui, Pablo Rivas
Fairness issues, current approaches, and challenges in machine learning models. Int. J. Mach. Learn. Cybern. 15 (8) (2024)
Corinne Aars, Lauren Adams, Xiaokan Tian, Zhaoyu Wang, Colton Wismer, Jason Wu, Pablo Rivas, Korn Sooksatra, Matthew Fendt
Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages. CoRR (2024)
Pablo Rivas, Javier Orduz, Tonni Das Jui, Casimer M. DeCusatis, Bikram Khanal
Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats. Mach. Learn. Knowl. Extr. 6 (2) (2024)
Korn Sooksatra, Bikram Khanal, Pablo Rivas
On Adversarial Examples for Text Classification by Perturbing Latent Representations. CoRR (2024)
Donald R. Schwartz, Pablo Rivas
An Automated SQL Query Grading System Using An Attention-Based Convolutional Neural Network. CoRR (2024)
Ernesto Quevedo, Jorge Yero, Rachel Koerner, Pablo Rivas, Tomás Cerný
Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach. CoRR (2024)
Bikram Khanal, Pablo Rivas
A Modified Depolarization Approach for Efficient Quantum Machine Learning. CoRR (2024)
Korn Sooksatra, Gissella Bejarano, Pablo Rivas
Evaluating Robustness of Reconstruction Models with Adversarial Networks. INNS DLIA@IJCNN (2023)
Bikram Khanal, Javier Orduz, Pablo Rivas, Erich Baker
Supercomputing leverages quantum machine learning and Grover's algorithm. J. Supercomput. 79 (6) (2023)
Laurie Giddens, Stacie Petter, Gisela Bichler, Pablo Rivas, Michael Fullilove, Tomás Cerný
Navigating an Interdisciplinary Approach to Cybercrime Research. HICSS (2023)
Antika Roy, Pablo Rivas, Mahee Noor Tayba
Unsupervised Machine Learning Methods for Diagnosing Autism Spectrum Disorder Using Multimodal Data: A Survey. CSCI (2022)
Pablo Rivas, Liang Zhao
On Unsupervised Reconstruction with Dressed Multilayered Variational Quantum Circuits. CSCI (2022)
Pablo Rivas, Liang Zhao, Javier Orduz
Hybrid Quantum Variational Autoencoders for Representation Learning. CSCI (2021)
Korn Sooksatra, Pablo Rivas, Javier Orduz
Evaluating Accuracy and Adversarial Robustness of Quanvolutional Neural Networks. CSCI (2021)
Bikram Khanal, Pablo Rivas, Javier Orduz, Alibek Zhakubayev
Quantum Machine Learning: A Case Study of Grover's Algorithm. CSCI (2021)
Bikram Khanal, Pablo Rivas, Javier Orduz
Human Activity Classification Using Basic Machine Learning Models. CSCI (2021)
Korn Sooksatra, Pablo Rivas
Adversarial Training Negatively Affects Fairness. CSCI (2021)
Korn Sooksatra, Pablo Rivas
On the Practical Uses of Experimental Adversarial Neural Cryptography. CSCI (2021)
Mahee Noor Tayba, Pablo Rivas
Enhancing the Resolution of Satellite Imagery Using a Generative Model. CSCI (2021)
Pablo Rivas, Donald R. Schwartz
Modeling SQL Statement Correctness with Attention-Based Convolutional Neural Networks. CSCI (2021)