Pablo Rivas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Working Set Selection

Language Processing

Machine Learning

Top Venues

Publications

Maisha Binte Rashid, Pablo Rivas
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning. CoRR (2024)
Nurul Rafi, Pablo Rivas
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing. CoRR (2024)
Nurul Rafi, Pablo Rivas
A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data. CoRR (2024)
Alejandro Rodríguez Pérez, Pablo Rivas
Combatting Human Trafficking in the Cyberspace: A Natural Language Processing-Based Methodology to Analyze the Language in Online Advertisements. CoRR (2023)
Sadia Nasrin Tisha, Md Shahidur Rahaman, Pablo Rivas
A Comparative Evaluation of Image Caption Synthesis Using Deep Neural Network. SDSC (2023)
Korn Sooksatra, Pablo Rivas
Evaluation of adversarial attacks sensitivity of classifiers with occluded input data. Neural Comput. Appl. 34 (20) (2022)
Korn Sooksatra, Pablo Rivas
Enhancing Adversarial Examples on Deep Q Networks with Previous Information. SSCI (2021)
Korn Sooksatra, Pablo Rivas
An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications. IJCNN (2021)
Pablo Rivas
Working Set Selection to Accelerate SVR Training. AIDBEI (2021)
Randy Soper, Karen Bennet, Pablo Rivas, Mathana
Developing Use Cases to Support an Empathic Technology Ethics Standard. ISTAS (2020)
Michael Guarino, Pablo Rivas, Casimer DeCusatis
Towards Adversarially Robust DDoS-Attack Classification. UEMCON (2020)
Pablo Rivas
AI Orthopraxy: Towards a Framework for That Promotes Fairness. ISTAS (2020)
Laura Montoya, Pablo Rivas
Government AI Readiness Meta-Analysis for Latin America And The Caribbean. ISTAS (2019)
Pablo Rivas
Modeling Five Sentence Quality Representations by Finding Latent Spaces Produced with Deep Long Short-Memory Models. WNLP@ACL (2019)
Pablo Rivas, Casimer DeCusatis, Matthew Oakley, Alex Antaki, Nicholas Blaskey, Steven LaFalce, Stephen Stone
Machine Learning for DDoS Attack Classification Using Hive Plots. UEMCON (2019)