Online Courses Recommendation based on LDA R Guzman, E Vera, L Cruz, J Ochoa 1st Symposium on Information Management and Big Data, 42, 2014 | 85* | 2014 |
An approach for improve the recognition of defects in coffee beans using retinex algorithms R Guzman, CE Portugal-Zambrano, JC Gutierrez-Caceres, ... Computing Conference (CLEI), 2014 XL Latin American, 1-9, 2014 | 13* | 2014 |
Heteroscedastic bayesian optimisation for stochastic model predictive control R Guzman, R Oliveira, F Ramos IEEE Robotics and Automation Letters 6 (1), 56-63, 2020 | 11 | 2020 |
Bayesian optimisation for robust model predictive control under model parameter uncertainty R Guzman, R Oliveira, F Ramos 2022 International Conference on Robotics and Automation (ICRA), 5539-5545, 2022 | 3 | 2022 |
Adaptive model predictive control by learning classifiers R Guzman, R Oliveira, F Ramos Learning for Dynamics and Control Conference, 480-491, 2022 | 2 | 2022 |
FP-AK-QIEA-ℝ on the Knapsack problem JEC Saire, RG Apaza 2019 IEEE Colombian Conference on Applications in Computational Intelligence …, 2019 | 1 | 2019 |
Predicting Reactions to Blog Headlines R Guzman, JE Ochoa-Luna, L Cruz-Quispe, E Vera-Cervantes, ... | 1 | 2016 |
Semi-supervised learning using a constrained labeling LDA model R Guzman, E Ochoa-Luna ANDESCON, 2016 IEEE, 1-4, 2016 | | 2016 |
Mejoramiento de Escenas de Baja Visibilidad usando Retinex R Guzman, C Portugal XXI International Conference of Electrical Engineering, Electronics and …, 2014 | | 2014 |
Monte Carlo Methods on High Dimensional Data R Guzman-Apaza | | |
UNSAbots 2014 Team Description R Guzman, C Elvis Supo, W Quispe, F Chavez, R Eddy Amache, E Soto, ... | | |