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Pablo Rivas
Pablo Rivas
Computer Science, Baylor University
Preverjeni e-poštni naslov na baylor.edu - Domača stran
Naslov
Navedeno
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Leto
Marketing with chatgpt: Navigating the ethical terrain of gpt-based chatbot technology
P Rivas, L Zhao
AI 4 (2), 375-384, 2023
184*2023
A review of Earth Artificial Intelligence
Z Sun, L Sandoval, P Rivas, J Orduz, et al.
Computers & Geosciences, 2022
1712022
A recursive shortest path routing algorithm with application for wireless sensor network localization
J Cota-Ruiz, P Rivas-Perea, E Sifuentes, R Gonzalez-Landaeta
IEEE Sensors Journal 16 (11), 4631-4637, 2016
592016
A low-complexity geometric bilateration method for localization in wireless sensor networks and its comparison with least-squares methods
J Cota-Ruiz, JG Rosiles, E Sifuentes, P Rivas-Perea
Sensors 12 (1), 839-862, 2012
592012
Support Vector Machines for Regression: A Succinct Review of Large-Scale and Linear Programming Formulations
P Rivas-Perea
International Journal of Intelligence Science 3 (1), 5-14, 2013
572013
A distributed localization algorithm for wireless sensor networks based on the solutions of spatially-constrained local problems
J Cota-Ruiz, J Rosiles, P Rivas, E Sifuentes
IEEE, 2013
572013
Designing AI using a human-centered approach: Explainability and accuracy toward trustworthiness
JR Schoenherr, R Abbas, K Michael, P Rivas, TD Anderson
IEEE Transactions on Technology and Society 4 (1), 9-23, 2023
552023
Identifying future drinkers: behavioral analysis of monkeys initiating drinking to intoxication is predictive of future drinking classification
EJ Baker, NAR Walter, A Salo, P Rivas Perea, S Moore, S Gonzales, ...
Alcoholism: clinical and experimental research 41 (3), 626-636, 2017
442017
Artificial intelligence computing at the quantum level
O Ayoade, P Rivas, J Orduz
Data 7 (3), 28, 2022
382022
Government AI readiness meta-analysis for Latin America and The Caribbean
L Montoya, P Rivas
2019 IEEE International Symposium on Technology and Society (ISTAS), 1-8, 2019
342019
Deep Learning for Beginners: A beginner's guide to getting up and running with deep learning from scratch using Python
P Rivas
Packt Publishing Ltd, 2020
332020
A Review of Convolutional Neural Networks and Gabor Filters in Object Recognition
M Rai, P Rivas
2020 International Conference on Computational Science and Computational …, 2020
312020
Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings
P Rivas-Perea, E Baker, G Hamerly, BF Shaw
BMC ophthalmology 14, 1-15, 2014
302014
Fairness issues, current approaches, and challenges in machine learning models
TD Jui, P Rivas
International Journal of Machine Learning and Cybernetics 15 (8), 3095-3125, 2024
292024
Dust storm detection using a neural network with uncertainty and ambiguity output analysis
MI Chacon-Murguía, Y Quezada-Holguín, P Rivas-Perea, S Cabrera
Mexican Conference on Pattern Recognition, 305-313, 2011
262011
An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods
P Rivas-Perea, J Cota-Ruiz
Pattern Recognition Letters 34 (4), 439-451, 2013
242013
Statistical and neural pattern recognition methods for dust aerosol detection
P Rivas-Perea, JG Rosiles, J Cota-Ruiz
International journal of remote sensing 34 (21), 7648-7670, 2013
232013
Automatic dust storm detection based on supervised classification of multispectral data
P Rivas-Perea, JG Rosiles, MIC Murguia, JJ Tilton
Soft Computing for Recognition Based on Biometrics, 443-454, 2010
232010
A convolutional neural network approach for classifying leukocoria
R Henning, P Rivas-Perea, B Shaw, G Hamerly
2014 southwest symposium on image analysis and interpretation, 9-12, 2014
202014
Excitement and concerns about machine learning-based chatbots and talkbots: A survey
P Rivas, K Holzmayer, C Hernandez, C Grippaldi
2018 IEEE International Symposium on Technology and Society (ISTAS), 156-162, 2018
182018
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