Pablo Rivas - RankMe

64 papers B 3C 3Journal 38Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Framework for Evaluating Vision-Language Model Safety: Building Trust in AI for Public Sector Applications. CoRR Maisha Binte Rashid, Pablo Rivas
2025	—	`conf`	ByteFlow: A Byte-Level LLM for Deep Packet Inspection and Network Intelligence. ACSAC Workshops Abanisenioluwa Orojo, Emmanuelli El-Mahmoud, Erika A. Leal, Pablo Rivas
2025	J	`jnl`	Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues. CoRR Pablo Rivas, Chelsi Chelsi, Nishit Nishit, Laharika Ravula
2025	J	`jnl`	Data-dependent generalization bounds for parameterized quantum models under noise. J. Supercomput. Bikram Khanal, Pablo Rivas
2025	J	`jnl`	Exploring Visual Embedding Spaces Induced by Vision Transformers for Online Auto Parts Marketplaces. CoRR Cameron Armijo, Pablo Rivas
2025	J	`jnl`	Latent Planning via Embedding Arithmetic: A Contrastive Approach to Strategic Reasoning. CoRR Andrew Hamara, Greg Hamerly, Pablo Rivas, Andrew C. Freeman
2025	J	`jnl`	Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study. CoRR Andrew Hamara, Greg Hamerly, Pablo Rivas, Andrew C. Freeman
2025	J	`jnl`	Leveraging Autocorrelation in a Dilated CNN-LSTM Framework for Predicting the US Supreme Court Decisions. IEEE Access Salman Abbasi, Bakht Munir, Vikram Jayaram, Pablo Rivas
2025	J	`jnl`	Leveraging OpenFlamingo for Multimodal Embedding Analysis of C2C Car Parts Data. CoRR Maisha Binte Rashid, Pablo Rivas
2025	J	`jnl`	Near Real-Time Dust Aerosol Detection with 3D Convolutional Neural Networks on MODIS Data. CoRR Caleb Gates, Patrick Moorhead, Jayden Ferguson, Omar Darwish, Conner Stallman, Pablo Rivas, Paapa Quansah
2025	J	`jnl`	Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration. CoRR Tianqi Ding, Dawei Xiang, Pablo Rivas, Liang Dong
2025	J	`jnl`	Predicting Traffic Accident Severity with Deep Neural Networks. CoRR Meghan Bibb, Pablo Rivas, Mahee Noor Tayba
2025	J	`jnl`	Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder. CoRR Javier Orduz, Pablo Rivas, Erich Baker
2025	J	`jnl`	Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods. CoRR Landon Bragg, Nathan Dorsey, Josh Prior, John Ajit, Ben Kim, Nate Willis, Pablo Rivas
2024	J	`jnl`	A Modified Depolarization Approach for Efficient Quantum Machine Learning. CoRR Bikram Khanal, Pablo Rivas
2024	J	`jnl`	A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing. CoRR Nurul Rafi, Pablo Rivas
2024	J	`jnl`	A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data. CoRR Nurul Rafi, Pablo Rivas
2024	J	`jnl`	AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning. CoRR Maisha Binte Rashid, Pablo Rivas
2024	J	`jnl`	An Automated SQL Query Grading System Using An Attention-Based Convolutional Neural Network. CoRR Donald R. Schwartz, Pablo Rivas
2024	B	`conf`	Automated Synthesis of Distributed Code from Sequential Snippets Using Deep Learning. IEEE Big Data Arun Sanjel, Bikram Khanal, Pablo Rivas, Greg Speegle
2024	J	`jnl`	Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations. CoRR Pablo Rivas, Gisela Bichler, Tomás Cerný, Laurie Giddens, Stacie Petter
2024	J	`jnl`	Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise. CoRR Bikram Khanal, Pablo Rivas
2024	J	`jnl`	Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach. CoRR Ernesto Quevedo, Jorge Yero, Rachel Koerner, Pablo Rivas, Tomás Cerný
2024	J	`jnl`	Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages. CoRR Corinne Aars, Lauren Adams, Xiaokan Tian, Zhaoyu Wang, Colton Wismer, Jason Wu, Pablo Rivas, Korn Sooksatra, Matthew Fendt
2024	J	`jnl`	Fairness issues, current approaches, and challenges in machine learning models. Int. J. Mach. Learn. Cybern. Tonni Das Jui, Pablo Rivas
2024	J	`jnl`	From Latent to Engine Manifolds: Analyzing ImageBind's Multimodal Embedding Space. CoRR Andrew Hamara, Pablo Rivas
2024	J	`jnl`	Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey. CoRR Bikram Khanal, Pablo Rivas, Arun Sanjel, Korn Sooksatra, Ernesto Quevedo, Alejandro Rodríguez Pérez
2024	J	`jnl`	Generalization error bound for quantum machine learning in NISQ era - a survey. Quantum Mach. Intell. Bikram Khanal, Pablo Rivas, Arun Sanjel, Korn Sooksatra, Ernesto Quevedo, Alejandro Rodriguez
2024	J	`jnl`	Image-Based Leopard Seal Recognition: Approaches and Challenges in Current Automated Systems. CoRR Jorge Yero Salazar, Pablo Rivas, Renato Borras-Chavez, Sarah Kienle
2024	J	`jnl`	Is ReLU Adversarially Robust? CoRR Korn Sooksatra, Greg Hamerly, Pablo Rivas
2024	J	`jnl`	Learning Robust Observable to Address Noise in Quantum Machine Learning. CoRR Bikram Khanal, Pablo Rivas
2024	J	`jnl`	Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications. IEEE Access Ernesto Quevedo, Tomás Cerný, Alejandro Rodriguez, Pablo Rivas, Jorge Yero, Korn Sooksatra, Alibek Zhakubayev, Davide Taibi
2024	J	`jnl`	NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs. CoRR Arun Sanjel, Bikram Khanal, Greg Speegle, Pablo Rivas
2024	J	`jnl`	Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures. Mach. Learn. Knowl. Extr. Maisha Binte Rashid, Md Shahidur Rahaman, Pablo Rivas
2024	J	`jnl`	On Adversarial Examples for Text Classification by Perturbing Latent Representations. CoRR Korn Sooksatra, Bikram Khanal, Pablo Rivas
2024	J	`jnl`	On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity. CoRR Pablo Rivas, Tomás Cerný, Alejandro Rodríguez Pérez, Javier Turek, Laurie Giddens, Gisela Bichler, Stacie Petter
2024	J	`jnl`	Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats. Mach. Learn. Knowl. Extr. Pablo Rivas, Javier Orduz, Tonni Das Jui, Casimer M. DeCusatis, Bikram Khanal
2024	B	`conf`	Resilient Word-Embedding Alignment for BERT with Character-Based Layer in Noisy Environments. IJCNN Korn Sooksatra, Alejandro Rodríguez Pérez, Pablo Rivas
2024	—	`conf`	Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach. ASE Workshops Korn Sooksatra, Md Showkat Hossain Chy, Muhmmad Ashfakur Rahman Arju, Tomás Cerný, Pablo Rivas
2023	—	`conf`	A Comparative Evaluation of Image Caption Synthesis Using Deep Neural Network. SDSC Sadia Nasrin Tisha, Md Shahidur Rahaman, Pablo Rivas
2023	J	`jnl`	Combatting Human Trafficking in the Cyberspace: A Natural Language Processing-Based Methodology to Analyze the Language in Online Advertisements. CoRR Alejandro Rodríguez Pérez, Pablo Rivas
2023	—	`conf`	Evaluating Robustness of Reconstruction Models with Adversarial Networks. INNS DLIA@IJCNN Korn Sooksatra, Gissella Bejarano, Pablo Rivas
2023	—	`conf`	Navigating an Interdisciplinary Approach to Cybercrime Research. HICSS Laurie Giddens, Stacie Petter, Gisela Bichler, Pablo Rivas, Michael H. Fullilove, Tomás Cerný
2023	J	`jnl`	Supercomputing leverages quantum machine learning and Grover's algorithm. J. Supercomput. Bikram Khanal, Javier Orduz, Pablo Rivas, Erich Baker
2022	J	`jnl`	Evaluation of adversarial attacks sensitivity of classifiers with occluded input data. Neural Comput. Appl. Korn Sooksatra, Pablo Rivas
2022	—	`conf`	On Unsupervised Reconstruction with Dressed Multilayered Variational Quantum Circuits. CSCI Pablo Rivas, Liang Zhao
2022	—	`conf`	Unsupervised Machine Learning Methods for Diagnosing Autism Spectrum Disorder Using Multimodal Data: A Survey. CSCI Antika Roy, Pablo Rivas, Mahee Noor Tayba
2021	—	`conf`	Adversarial Training Negatively Affects Fairness. CSCI Korn Sooksatra, Pablo Rivas
2021	B	`conf`	An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications. IJCNN Korn Sooksatra, Pablo Rivas
2021	—	`conf`	Enhancing Adversarial Examples on Deep Q Networks with Previous Information. SSCI Korn Sooksatra, Pablo Rivas
2021	—	`conf`	Enhancing the Resolution of Satellite Imagery Using a Generative Model. CSCI Mahee Noor Tayba, Pablo Rivas
2021	—	`conf`	Evaluating Accuracy and Adversarial Robustness of Quanvolutional Neural Networks. CSCI Korn Sooksatra, Pablo Rivas, Javier Orduz
2021	—	`conf`	Human Activity Classification Using Basic Machine Learning Models. CSCI Bikram Khanal, Pablo Rivas, Javier Orduz
2021	—	`conf`	Hybrid Quantum Variational Autoencoders for Representation Learning. CSCI Pablo Rivas, Liang Zhao, Javier Orduz
2021	—	`conf`	Modeling SQL Statement Correctness with Attention-Based Convolutional Neural Networks. CSCI Pablo Rivas, Donald R. Schwartz
2021	—	`conf`	On the Practical Uses of Experimental Adversarial Neural Cryptography. CSCI Korn Sooksatra, Pablo Rivas
2021	—	`conf`	Quantum Machine Learning: A Case Study of Grover's Algorithm. CSCI Bikram Khanal, Pablo Rivas, Javier Orduz, Alibek Zhakubayev
2021	—	`conf`	Working Set Selection to Accelerate SVR Training. AIDBEI Pablo Rivas
2020	C	`conf`	AI Orthopraxy: Towards a Framework for That Promotes Fairness. ISTAS Pablo Rivas
2020	C	`conf`	Developing Use Cases to Support an Empathic Technology Ethics Standard. ISTAS Randy Soper, Karen Bennet, Pablo Rivas, Mathana
2020	—	`conf`	Towards Adversarially Robust DDoS-Attack Classification. UEMCON Michael Guarino, Pablo Rivas, Casimer M. DeCusatis
2019	C	`conf`	Government AI Readiness Meta-Analysis for Latin America And The Caribbean. ISTAS Laura N. Montoya, Pablo Rivas
2019	—	`conf`	Machine Learning for DDoS Attack Classification Using Hive Plots. UEMCON Pablo Rivas, Casimer M. DeCusatis, Matthew Oakley, Alex Antaki, Nicholas Blaskey, Steven LaFalce, Stephen Stone
2019	—	`conf`	Modeling Five Sentence Quality Representations by Finding Latent Spaces Produced with Deep Long Short-Memory Models. WNLP@ACL Pablo Rivas