Pablo Rivas
Orcid: 0000-0002-8690-0987Affiliations:
- Baylor University, Waco, TX, USA
- Marist College, Poughkeepsie, NY, USA (2015 - 2020)
- University of Texas at El Paso, TX, USA (PhD 2007)
According to our database1,
Pablo Rivas
authored at least 37 papers
between 2009 and 2023.
Collaborative distances:
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Bibliography
2023
J. Supercomput., April, 2023
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
Evaluation of adversarial attacks sensitivity of classifiers with occluded input data.
Neural Comput. Appl., 2022
Unsupervised Machine Learning Methods for Diagnosing Autism Spectrum Disorder Using Multimodal Data: A Survey.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Modeling SQL Statement Correctness with Attention-Based Convolutional Neural Networks.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the Artificial Intelligence Diversity, Belonging, Equity, and Inclusion, 2021
2020
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020
Proceedings of the Artificial Intelligence XXXVII, 2020
Proceedings of the IEEE International Symposium on Technology and Society, 2020
Proceedings of the IEEE International Symposium on Technology and Society, 2020
2019
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019
Proceedings of the 2019 IEEE International Symposium on Technology and Society, 2019
Modeling Five Sentence Quality Representations by Finding Latent Spaces Produced with Deep Long Short-Memory Models.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019
2018
Entrenamiento de una red neuronal para el reconocimiento de imagenes de lengua de senas capturadas con sensores de profundidad.
CoRR, 2018
2014
A nonlinear least squares quasi-Newton strategy for LP-SVR hyper-parameters selection.
Int. J. Mach. Learn. Cybern., 2014
Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014
Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014
2013
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., 2013
An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods.
Pattern Recognit. Lett., 2013
2012
A Low-Complexity Geometric Bilateration Method for Localization in Wireless Sensor Networks and Its Comparison with Least-Squares Methods.
Sensors, 2012
2011
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011
Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011
2010
Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010
2009
Self organizing maps for class discovery in the quantitative colocalization analysis feature space.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the 2009 International Conference on High Performance Computing & Simulation, 2009