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ORCIDPablo 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
- 2023
[j7]Bikram Khanal
, Javier Orduz, Pablo Rivas, Erich Baker:
Supercomputing leverages quantum machine learning and Grover's algorithm. J. Supercomput. 79(6): 6918-6940 (2023)- [c17]Laurie Giddens, Stacie Petter, Gisela Bichler, Pablo Rivas, Michael H. Fullilove, Tomás Cerný:
Navigating an Interdisciplinary Approach to Cybercrime Research. HICSS 2023: 3611-3620 - [c16]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, Pablo Rivas-Perea, Javier Orduz:
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) - 2021
- [c15]Pablo Rivas:
Working Set Selection to Accelerate SVR Training. AIDBEI 2021: 35-38 - [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, Mathana:
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, Casimer M. DeCusatis:
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, Pablo Rivas:
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, Juan Cota-Ruiz, José-Gerardo Rosiles:
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, Bryan Shaw, Greg Hamerly:
A Convolutional Neural Network approach for classifying leukocoria. SSIAI 2014: 9-12 - [c4]Pablo Rivas-Perea, Ryan Henning, Bryan Shaw, Greg Hamerly:
Finding the smallest circle containing the iris in the denoised wavelet domain. SSIAI 2014: 13-16 - 2013
- [j3]Pablo Rivas-Perea, Juan Cota-Ruiz:
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, Juan Cota-Ruiz, José-Gerardo Rosiles:
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, José-Gerardo Rosiles, Ernesto Sifuentes, Pablo Rivas-Perea:
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, Sergio D. Cabrera:
Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis. MCPR 2011: 305-313 - [p2]Pablo Rivas-Perea, José-Gerardo Rosiles, Wei Qian:
Subjective Colocalization Analysis with Fuzzy Predicates. Soft Computing for Intelligent Control and Mobile Robotics 2011: 373-393 - 2010
- [p1]Pablo Rivas-Perea, José-Gerardo Rosiles, Mario Ignacio Chacon Murguia, James Tilton:
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, José-Gerardo Rosiles, Omar Velarde Anaya, Leonardo Valencia Olvera, Luis Humberto Uribe Chavira, Mario I. Chacon:
Mobile robot for face recognition: A collaborative environment. HPCS 2009: 223-229 - [c1]Pablo Rivas-Perea, José-Gerardo Rosiles, Wei Qian:
Self organizing maps for class discovery in the quantitative colocalization analysis feature space. IJCNN 2009: 2678-2684
Coauthor Index
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