| Marketing with chatgpt: Navigating the ethical terrain of gpt-based chatbot technology P Rivas, L Zhao AI 4 (2), 375-384, 2023 | 183* | 2023 |
| A review of Earth Artificial Intelligence Z Sun, L Sandoval, P Rivas, J Orduz, et al. Computers & Geosciences, 2022 | 168 | 2022 |
| 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 | 59 | 2016 |
| 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 | 59 | 2012 |
| 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 | 57 | 2013 |
| 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 | 57 | 2013 |
| 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 | 55 | 2023 |
| 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 | 44 | 2017 |
| Artificial intelligence computing at the quantum level O Ayoade, P Rivas, J Orduz Data 7 (3), 28, 2022 | 38 | 2022 |
| 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 | 34 | 2019 |
| 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 | 33 | 2020 |
| 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 | 31 | 2020 |
| 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 | 30 | 2014 |
| 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 | 28 | 2024 |
| 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 | 26 | 2011 |
| 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 | 24 | 2013 |
| 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 | 23 | 2010 |
| 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 | 22 | 2013 |
| 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 | 20 | 2014 |
| 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 | 18 | 2018 |
juan cota-ruizUACJVerifierad e-postadress på uacj.mx