S. Ledesma-Orozco

发表

Mixed Acceleration Techniques for Solving Quickly Stochastic Shortest-Path Markov Decision Processes

E. Onaindía, M. G. García-Hernández, J. Ruiz-Pinales, 2011 .

Combination of acceleration procedures for solving stochastic shortest-path Markov decision processes

E. Onaindía, M. G. García-Hernández, J. Ruiz-Pinales, 2010, 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering.

Fast Parabola Detection Using Estimation of Distribution Algorithms

Ivan Cruz-Aceves, Juan Gabriel Aviña-Cervantes, Roberto Rojas-Laguna, 2017, Comput. Math. Methods Medicine.

Human activity recognition using temporal convolutional neural network architecture

Yair A. Andrade-Ambriz, M. Ibarra-Manzano, D. Almanza-Ojeda, 2022, Expert Syst. Appl..

Higher Order Polynomial Demosaicing

Jose-Juan Hernandez-Lopez, M. Ibarra-Manzano, D. Almanza-Ojeda, 2014, 2014 International Conference on Mechatronics, Electronics and Automotive Engineering.

Analysis of COP stability in a refrigeration system using artificial neural networks

Sergio E. Ledesma-Orozco, Juan Manuel Belman-Flores, J. M. Belman-Flores, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Synthesis of fractional gaussian noise using linear approximation for generating self-similar network traffic

Derong Liu, Sergio E. Ledesma-Orozco, Derong Liu, 2000, CCRV.

Frost thickness estimation in a domestic refrigerator using acoustic signals and artificial intelligence

Yair A. Andrade-Ambriz, D. Almanza-Ojeda, J. M. Belman-Flores, 2022, Expert Syst. Appl..

Analysis of a variable speed vapor compression system using artificial neural networks

Sergio E. Ledesma-Orozco, Juan Manuel Belman-Flores, José L. Rodríguez-Muñoz, 2013, Expert Syst. Appl..

Temperature Cycling on Simulated Annealing for Neural Network Learning

Miguel Torres, Sergio E. Ledesma-Orozco, Donato Hernández, 2007, MICAI.

Artificial Intelligence to Analyze the Cortical Thickness Through Age

Pascal Fallavollita, Jason Steffener, Sergio E. Ledesma-Orozco, 2021, Frontiers in Artificial Intelligence.

Applying balancing techniques in traffic sign recognition

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Juan Gabriel Aviña-Cervantes, 2014, Artif. Intell. Res..

Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and Expectation Maximization

Ivan Cruz-Aceves, Juan Gabriel Aviña-Cervantes, Sergio E. Ledesma-Orozco, 2018, Appl. Math. Comput..

Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial Networks

Nassir Navab, Mustafa Haiderbhai, Sergio E. Ledesma-Orozco, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Association rule-based Markov Decision Processes

Eva Onaindia, Juan Gabriel Aviña-Cervantes, Sergio E. Ledesma-Orozco, 2008, LA-NMR.

FPGA-based methodology for depth-of-field extension in a single image

Misael Lopez-Ramirez, Eduardo Cabal-Yepez, Guillermo Botella Juan, 2017, Digit. Signal Process..

Quaternion Signal Analysis Algorithm for Induction Motor Fault Detection

Arturo Garcia-Perez, Jose L. Contreras-Hernandez, Mario A. Ibarra-Manzano, 2019, IEEE Transactions on Industrial Electronics.

Geometric Analysis of Signals for Inference of Multiple Faults in Induction Motors

Jose L. Contreras-Hernandez, M. Ibarra-Manzano, D. Almanza-Ojeda, 2022, Sensors.

Pitch estimation for musical note recognition using Artificial Neural Networks

Juan Gabriel Aviña-Cervantes, Sergio E. Ledesma-Orozco, Sheila Esmeralda González-Reyna, 2014, 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP).

Reduction of temporal complexity in Markov decision processes

Juan Gabriel Aviña-Cervantes, Sergio E. Ledesma-Orozco, José Ruiz-Pinales, 2012, CONIELECOMP 2012, 22nd International Conference on Electrical Communications and Computers.

New prioritized value iteration for Markov decision processes

Eva Onaindia, Juan Gabriel Aviña-Cervantes, Sergio E. Ledesma-Orozco, 2012, Artificial Intelligence Review.

On removing conflicts for machine learning

M. Ibarra-Manzano, D. Almanza-Ojeda, S. Ledesma-Orozco, 2022, Expert Syst. Appl..

Tank Model Coupled with an Artificial Neural Network

Sergio E. Ledesma-Orozco, Gustavo Cerda-Villafana, Efren Gonzalez-Ramirez, 2008, MICAI.

Traffic Sign Recognition Based on Linear Discriminant Analysis

Ivan Cruz-Aceves, Juan Gabriel Aviña-Cervantes, Sergio E. Ledesma-Orozco, 2013, MICAI.

Two approximation methods to synthesize the power spectrum of fractional Gaussian noise

Derong Liu, Sergio E. Ledesma-Orozco, Donato Hernández, 2007, Comput. Stat. Data Anal..

Feature Selection Using Artificial Neural Networks

Miguel Torres, Sergio E. Ledesma-Orozco, Donato Hernández, 2008, MICAI.