Synthesis of fractional gaussian noise using linear approximation for generating self-similar network traffic. - Sergio Ledesma; Derong Liu 001 (Comput. Commun. Rev., 2000)

Temperature Cycling on Simulated Annealing for Neural Network Learning. - Sergio Ledesma; Miguel Torres; Donato Hernández; Gabriel Aviña; Guadalupe García (MICAI, 2007)

Two approximation methods to synthesize the power spectrum of fractional Gaussian noise. - Sergio Ledesma; Derong Liu 001; Donato Hernández (Comput. Stat. Data Anal., 2007)

Association rule-based Markov Decision Processes. - Ma. de Guadalupe García-Hernández; José Ruiz-Pinales; Alberto Reyes-Ballesteros; Eva Onaindia; Juan Gabriel Aviña-Cervantes; Sergio Ledesma; Donato Hernández (LA-NMR, 2008)

Tank Model Coupled with an Artificial Neural Network. - Gustavo Cerda-Villafana; Sergio E. Ledesma-Orozco; Efren Gonzalez-Ramirez (MICAI, 2008)

Feature Selection Using Artificial Neural Networks. - Sergio Ledesma; Gustavo Cerda-Villafana; Gabriel Aviña; Donato Hernández; Miguel Torres (MICAI, 2008)

Combination of acceleration procedures for solving stochastic shortest-path Markov decision processes. - Ma. de Guadalupe García-Hernández; José Ruiz-Pinales; Sergio E. Ledesma-Orozco; Juan Gabriel Aviña-Cervantes; Eva Onaindia; Alberto Reyes-Ballesteros (ISKE, 2010)

Analysis of self-similar data by artificial neural networks. - Sergio Ledesma; José Ruiz; Guadalupe García; Gabriel Aviña; Donato Hernández (ICNSC, 2011)

Reduction of temporal complexity in Markov decision processes. - Ma. de Guadalupe García-Hernández; José Ruiz-Pinales; Sergio E. Ledesma-Orozco; Juan Gabriel Aviña-Cervantes (CONIELECOMP, 2012)

New prioritized value iteration for Markov decision processes. - Ma. de Guadalupe García-Hernández; José Ruiz-Pinales; Eva Onaindia; Juan Gabriel Aviña-Cervantes; Sergio E. Ledesma-Orozco; Edgar Alvarado-Mendez; Alberto Reyes-Ballesteros (Artif. Intell. Rev., 2012)

Traffic Sign Recognition Based on Linear Discriminant Analysis. - Sheila Esmeralda González-Reyna; Juan Gabriel Aviña-Cervantes; Sergio Eduardo Ledesma-Orozco; Iván Cruz-Aceves; Ma. de Guadalupe García-Hernández (MICAI (2), 2013)

Analysis of a variable speed vapor compression system using artificial neural networks. - Juan Manuel Belman-Flores; Sergio Ledesma; Ma. de Guadalupe García-Hernández; José Ruiz; José L. Rodríguez-Muñoz (Expert Syst. Appl., 2013)

Pitch estimation for musical note recognition using Artificial Neural Networks. - Jose de Jesus Guerrero-Turrubiates; Sheila Esmeralda González-Reyna; Sergio Eduardo Ledesma-Orozco; Juan Gabriel Aviña-Cervantes (CONIELECOMP, 2014)

Applying balancing techniques in traffic sign recognition. - Sheila Esmeralda González-Reyna; José Francisco Martínez Trinidad; Jesús Ariel Carrasco-Ochoa; Juan Gabriel Aviña-Cervantes; Sergio E. Ledesma-Orozco (Artif. Intell. Res., 2014)

Analysis of COP stability in a refrigeration system using artificial neural networks. - Sergio Ledesma; Juan Manuel Belman-Flores (IJCNN, 2016)

Fast Parabola Detection Using Estimation of Distribution Algorithms. - Jose de Jesus Guerrero-Turrubiates; Iván Cruz-Aceves; Sergio Ledesma; Juan Manuel Sierra-Hernández; Jonás Velasco; Juan Gabriel Aviña-Cervantes; Maria Susana Avila Garcia; Horacio Rostro-González; Roberto Rojas-Laguna (Comput. Math. Methods Medicine, 2017)

FPGA-based methodology for depth-of-field extension in a single image. - Misael Lopez-Ramirez; Luis Manuel Ledesma-Carrillo; Eduardo Cabal-Yepez; Guillermo Botella Juan; Carlos Rodriguez-Donate; Sergio Ledesma (Digit. Signal Process., 2017)

Mathematical Models to Predict and Analyze the Energy Consumption of a Domestic Refrigerator for Different Position of the Shelves. - Sergio Ledesma; Juan Manuel Belman-Flores; Eduardo Cabal-Yepez; Arturo Morales-Fuentes; Jorge Arturo Alfaro-Ayala; Mario Alberto Ibarra-Manzano (IEEE Access, 2018)

Analysis of Data Sets With Learning Conflicts for Machine Learning. - Sergio Ledesma; Mario Alberto Ibarra-Manzano; Eduardo Cabal-Yepez; Dora Luz Almanza-Ojeda; Juan Gabriel Aviña-Cervantes (IEEE Access, 2018)

Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and Expectation Maximization. - Hugo Aguirre-Ramos; Juan Gabriel Aviña-Cervantes; Iván Cruz-Aceves; José Ruiz-Pinales; Sergio Ledesma (Appl. Math. Comput., 2018)

Cost function to analyze the passband and the stopband of Digital Biquadratic Filters. - Sergio Ledesma; Mario Alberto Ibarra-Manzano; Dora Luz Almanza-Ojeda; Eduardo Cabal-Yepez (Digit. Signal Process., 2018)

Artificial Intelligence to Design a Mask Insensible to the Distance From the Camera to the Scene Objects. - Sergio Ledesma; Mario Alberto Ibarra-Manzano; Eduardo Cabal-Yepez; Dora Luz Almanza-Ojeda; Pascal Fallavollita (IEEE Access, 2019)

Quaternion Signal Analysis Algorithm for Induction Motor Fault Detection. - Jose L. Contreras-Hernandez; Dora Luz Almanza-Ojeda; Sergio E. Ledesma-Orozco; Arturo Garcia-Perez; René de Jesús Romero-Troncoso; Mario Alberto Ibarra-Manzano (IEEE Trans. Ind. Electron., 2019)

A Fast Image Dehazing Algorithm Using Morphological Reconstruction. - Sebastián Salazar-Colores; Eduardo Cabal-Yepez; Juan Manuel Ramos-Arreguín; Guillermo Botella; Luis Manuel Ledesma-Carrillo; Sergio Ledesma (IEEE Trans. Image Process., 2019)

Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial Networks. - Mustafa Haiderbhai; Sergio Ledesma; Nassir Navab; Pascal Fallavollita (EMBC, 2020)

Learning Conflicts for C-arm Kinematic Modeling using Artificial Intelligence. - Sergio Ledesma; Jose de Jesus Guerrero-Turrubiates; Sheila Esmeralda González-Reyna; Dora Luz Almanza-Ojeda; Pascal Fallavollita (EMBC, 2020)

Differential Neural Networks (DNN). - Sergio Ledesma; Dora Luz Almanza-Ojeda; Mario Alberto Ibarra-Manzano; Eduardo Cabal-Yepez; Juan Gabriel Aviña-Cervantes; Pascal Fallavollita (IEEE Access, 2020)

pix2xray: converting RGB images into X-rays using generative adversarial networks. - Mustafa Haiderbhai; Sergio Ledesma; Sing Chun Lee; Matthias Seibold; Philipp Fürnstahl; Nassir Navab; Pascal Fallavollita (Int. J. Comput. Assist. Radiol. Surg., 2020)

Transfer Learning for Humanoid Robot Appearance-Based Localization in a Visual Map. - Emmanuel Ovalle-Magallanes; Noé G. Aldana-Murillo; Juan Gabriel Aviña-Cervantes; José Ruiz-Pinales; Jonathan Cepeda-Negrete; Sergio Ledesma (IEEE Access, 2021)

Artificial Intelligence to Analyze the Cortical Thickness Through Age. - Sergio Ledesma; Mario Alberto Ibarra-Manzano; Dora Luz Almanza-Ojeda; Pascal Fallavollita; Jason Steffener (Frontiers Artif. Intell., 2021)

Human activity recognition using temporal convolutional neural network architecture. - Yair A. Andrade-Ambriz; Sergio Ledesma; Mario Alberto Ibarra-Manzano; Marvella-Izamar Oros-Flores; Dora Luz Almanza-Ojeda (Expert Syst. Appl., 2022)

Frost thickness estimation in a domestic refrigerator using acoustic signals and artificial intelligence. - Yair A. Andrade-Ambriz; Sergio Ledesma; Juan Manuel Belman-Flores; I. Carvajal-Mariscal; Dora Luz Almanza-Ojeda (Expert Syst. Appl., 2022)

On removing conflicts for machine learning. - Sergio Ledesma; Mario Alberto Ibarra-Manzano; Dora Luz Almanza-Ojeda; Juan Gabriel Aviña-Cervantes; Eduardo Cabal-Yepez (Expert Syst. Appl., 2022)

Geometric Analysis of Signals for Inference of Multiple Faults in Induction Motors. - Jose L. Contreras-Hernandez; Dora Luz Almanza-Ojeda; Sergio Ledesma; Arturo Garcia-Perez; Rogelio Castro-Sanchez; Miguel A. Gomez-Martinez; Mario Alberto Ibarra-Manzano (Sensors, 2022)