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Pablo Rivas 0001
Person information
- affiliation: Baylor University, Waco, TX, USA
- affiliation (2015 - 2020): Marist College, Poughkeepsie, NY, USA
- affiliation (PhD 2007): University of Texas at El Paso, TX, USA
Other persons with the same name
- Pablo Rivas — disambiguation page
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2020 – today
- 2024
- [j12]Ernesto Quevedo
, Tomás Cerný
Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications. IEEE Access 12: 145286-145317 (2024) - [j11]Pablo Rivas
Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats. Mach. Learn. Knowl. Extr. 6(2): 944-964 (2024) - [j10]Maisha Binte Rashid
Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures. Mach. Learn. Knowl. Extr. 6(3): 1545-1563 (2024) - [j9]Tonni Das Jui
Fairness issues, current approaches, and challenges in machine learning models. Int. J. Mach. Learn. Cybern. 15(8): 3095-3125 (2024) - [j8]Bikram Khanal, Pablo Rivas, Arun Sanjel, Korn Sooksatra, Ernesto Quevedo, Alejandro Rodriguez:
Generalization error bound for quantum machine learning in NISQ era - a survey. Quantum Mach. Intell. 6(2): 90 (2024) - [c29]Korn Sooksatra, Alejandro Rodríguez Pérez, Pablo Rivas:
Resilient Word-Embedding Alignment for BERT with Character-Based Layer in Noisy Environments. IJCNN 2024: 1-8 - [c28]Korn Sooksatra
Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach. ASE Workshops 2024: 43-53 - [i15]Bikram Khanal, Pablo Rivas:
A Modified Depolarization Approach for Efficient Quantum Machine Learning. CoRR abs/2404.07330 (2024) - [i14]Korn Sooksatra, Greg Hamerly, Pablo Rivas:
Is ReLU Adversarially Robust? CoRR abs/2405.03777 (2024) - [i13]Korn Sooksatra, Bikram Khanal, Pablo Rivas:
On Adversarial Examples for Text Classification by Perturbing Latent Representations. CoRR abs/2405.03789 (2024) - [i12]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 abs/2405.13348 (2024) - [i11]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 abs/2405.13350 (2024) - [i10]Ernesto Quevedo, Jorge Yero, Rachel Koerner, Pablo Rivas, Tomás Cerný:
Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach. CoRR abs/2405.19648 (2024) - [i9]Donald R. Schwartz, Pablo Rivas:
An Automated SQL Query Grading System Using An Attention-Based Convolutional Neural Network. CoRR abs/2406.15936 (2024) - [i8]Maisha Binte Rashid, Pablo Rivas:
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning. CoRR abs/2407.21174 (2024) - [i7]Jorge Yero Salazar, Pablo Rivas, Renato Borras-Chavez, Sarah Kienle:
Image-Based Leopard Seal Recognition: Approaches and Challenges in Current Automated Systems. CoRR abs/2408.07269 (2024) - [i6]Pablo Rivas, Gisela Bichler, Tomás Cerný, Laurie Giddens, Stacie Petter:
Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations. CoRR abs/2409.06187 (2024) - [i5]Bikram Khanal, Pablo Rivas, Arun Sanjel, Korn Sooksatra, Ernesto Quevedo, Alejandro Rodríguez Pérez:
Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey. CoRR abs/2409.07626 (2024) - [i4]Bikram Khanal, Pablo Rivas:
Learning Robust Observable to Address Noise in Quantum Machine Learning. CoRR abs/2409.07632 (2024) - [i3]Arun Sanjel, Bikram Khanal, Greg Speegle, Pablo Rivas:
NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs. CoRR abs/2410.08005 (2024) - 2023
- [j7]Bikram Khanal
Supercomputing leverages quantum machine learning and Grover's algorithm. J. Supercomput. 79(6): 6918-6940 (2023) - [c27]Laurie Giddens, Stacie Petter, Gisela Bichler, Pablo Rivas, Michael H. Fullilove, Tomás Cerný:
Navigating an Interdisciplinary Approach to Cybercrime Research. HICSS 2023: 3611-3620 - [c26]Korn Sooksatra, Gissella Bejarano, Pablo Rivas:
Evaluating Robustness of Reconstruction Models with Adversarial Networks. INNS DLIA@IJCNN 2023: 353-366 - [i2]Glauco A. Amigo, Pablo Rivas-Perea, Robert J. Marks II:
Mitigating Algorithmic Bias on Facial Expression Recognition. CoRR abs/2312.15307 (2023) - 2022
- [j6]Olawale Ayoade
Artificial Intelligence Computing at the Quantum Level. Data 7(3): 28 (2022) - [j5]Korn Sooksatra, Pablo Rivas
Evaluation of adversarial attacks sensitivity of classifiers with occluded input data. Neural Comput. Appl. 34(20): 17615-17632 (2022) - [c25]Antika Roy, Pablo Rivas, Mahee Noor Tayba:
Unsupervised Machine Learning Methods for Diagnosing Autism Spectrum Disorder Using Multimodal Data: A Survey. CSCI 2022: 41-52 - [c24]Pablo Rivas, Liang Zhao:
On Unsupervised Reconstruction with Dressed Multilayered Variational Quantum Circuits. CSCI 2022: 85-88 - 2021
- [c23]Pablo Rivas:
Working Set Selection to Accelerate SVR Training. AIDBEI 2021: 35-38 - [c22]Mahee Noor Tayba, Pablo Rivas
Enhancing the Resolution of Satellite Imagery Using a Generative Model. CSCI 2021: 20-25 - [c21]Korn Sooksatra, Pablo Rivas
On the Practical Uses of Experimental Adversarial Neural Cryptography. CSCI 2021: 40-46 - [c20]Pablo Rivas
Hybrid Quantum Variational Autoencoders for Representation Learning. CSCI 2021: 52-57 - [c19]Pablo Rivas
Modeling SQL Statement Correctness with Attention-Based Convolutional Neural Networks. CSCI 2021: 64-71 - [c18]Bikram Khanal
Quantum Machine Learning: A Case Study of Grover's Algorithm. CSCI 2021: 79-84 - [c17]Bikram Khanal, Pablo Rivas
Human Activity Classification Using Basic Machine Learning Models. CSCI 2021: 121-126 - [c16]Korn Sooksatra, Pablo Rivas
Adversarial Training Negatively Affects Fairness. CSCI 2021: 140-145 - [c15]Korn Sooksatra, Pablo Rivas
Evaluating Accuracy and Adversarial Robustness of Quanvolutional Neural Networks. CSCI 2021: 152-157 - [c14]Korn Sooksatra, Pablo Rivas
An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications. IJCNN 2021: 1-8 - [c13]Korn Sooksatra, Pablo Rivas
Enhancing Adversarial Examples on Deep Q Networks with Previous Information. SSCI 2021: 1-7 - 2020
- [c12]Randy Soper, Karen Bennet, Pablo Rivas
Developing Use Cases to Support an Empathic Technology Ethics Standard. ISTAS 2020: 25-28 - [c11]Pablo Rivas
AI Orthopraxy: Towards a Framework for That Promotes Fairness. ISTAS 2020: 80-84 - [c10]Pablo Rivas-Perea
Accelerating the Training of an LP-SVR Over Large Datasets. SGAI Conf. 2020: 123-136 - [c9]Michael Guarino, Pablo Rivas
Towards Adversarially Robust DDoS-Attack Classification. UEMCON 2020: 285-291
2010 – 2019
- 2019
- [c8]Pablo Rivas:
Modeling Five Sentence Quality Representations by Finding Latent Spaces Produced with Deep Long Short-Memory Models. WNLP@ACL 2019: 24-26 - [c7]Laura N. Montoya
Government AI Readiness Meta-Analysis for Latin America And The Caribbean. ISTAS 2019: 1-8 - [c6]Pablo Rivas, Casimer M. DeCusatis, Matthew Oakley, Alex Antaki, Nicholas Blaskey, Steven LaFalce, Stephen Stone:
Machine Learning for DDoS Attack Classification Using Hive Plots. UEMCON 2019: 401-407 - 2018
- [i1]Pedro E. Rivas P., Omar Velarde Anaya, Samuel González López, Pablo Rivas-Perea, Norma Angelica Alvarez-Torres:
Entrenamiento de una red neuronal para el reconocimiento de imagenes de lengua de senas capturadas con sensores de profundidad. CoRR abs/1804.00508 (2018) - 2014
- [j4]Pablo Rivas-Perea
A nonlinear least squares quasi-Newton strategy for LP-SVR hyper-parameters selection. Int. J. Mach. Learn. Cybern. 5(4): 579-597 (2014) - [c5]Ryan Henning, Pablo Rivas-Perea
A Convolutional Neural Network approach for classifying leukocoria. SSIAI 2014: 9-12 - [c4]Pablo Rivas-Perea
Finding the smallest circle containing the iris in the denoised wavelet domain. SSIAI 2014: 13-16 - 2013
- [j3]Pablo Rivas-Perea
An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods. Pattern Recognit. Lett. 34(4): 439-451 (2013) - [j2]Pablo Rivas-Perea
Corrigendum to "An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods" [Pattern Recognition Lett. 34(4) (2013) 439-451]. Pattern Recognit. Lett. 34(6): 678 (2013) - 2012
- [j1]Juan Cota-Ruiz
A Low-Complexity Geometric Bilateration Method for Localization in Wireless Sensor Networks and Its Comparison with Least-Squares Methods. Sensors 12(1): 839-862 (2012) - 2011
- [c3]Mario Ignacio Chacon Murguia, Yearim Quezada-Holguín, Pablo Rivas-Perea
Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis. MCPR 2011: 305-313 - [p2]Pablo Rivas-Perea
Subjective Colocalization Analysis with Fuzzy Predicates. Soft Computing for Intelligent Control and Mobile Robotics 2011: 373-393 - 2010
- [p1]Pablo Rivas-Perea
Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data. Soft Computing for Recognition Based on Biometrics 2010: 443-454
2000 – 2009
- 2009
- [c2]Pablo Rivas-Perea
Mobile robot for face recognition: A collaborative environment. HPCS 2009: 223-229 - [c1]Pablo Rivas-Perea
Self organizing maps for class discovery in the quantitative colocalization analysis feature space. IJCNN 2009: 2678-2684
Coauthor Index
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last updated on 2024-12-26 01:53 CET by the dblp team
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