Sergio E. Ledesma-Orozco

Orcid: 0000-0001-8411-8740

According to our database1, Sergio E. Ledesma-Orozco authored at least 34 papers between 2000 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Geometric Analysis of Signals for Inference of Multiple Faults in Induction Motors.
Sensors, 2022

On removing conflicts for machine learning.
Expert Syst. Appl., 2022

Frost thickness estimation in a domestic refrigerator using acoustic signals and artificial intelligence.
Expert Syst. Appl., 2022

Human activity recognition using temporal convolutional neural network architecture.
Expert Syst. Appl., 2022

2021
Artificial Intelligence to Analyze the Cortical Thickness Through Age.
Frontiers Artif. Intell., 2021

Transfer Learning for Humanoid Robot Appearance-Based Localization in a Visual Map.
IEEE Access, 2021

2020
pix2xray: converting RGB images into X-rays using generative adversarial networks.
Int. J. Comput. Assist. Radiol. Surg., 2020

Differential Neural Networks (DNN).
IEEE Access, 2020

Learning Conflicts for C-arm Kinematic Modeling using Artificial Intelligence.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
A Fast Image Dehazing Algorithm Using Morphological Reconstruction.
IEEE Trans. Image Process., 2019

Quaternion Signal Analysis Algorithm for Induction Motor Fault Detection.
IEEE Trans. Ind. Electron., 2019

Artificial Intelligence to Design a Mask Insensible to the Distance From the Camera to the Scene Objects.
IEEE Access, 2019

2018
Cost function to analyze the passband and the stopband of Digital Biquadratic Filters.
Digit. Signal Process., 2018

Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and Expectation Maximization.
Appl. Math. Comput., 2018

Analysis of Data Sets With Learning Conflicts for Machine Learning.
IEEE Access, 2018

Mathematical Models to Predict and Analyze the Energy Consumption of a Domestic Refrigerator for Different Position of the Shelves.
IEEE Access, 2018

2017
FPGA-based methodology for depth-of-field extension in a single image.
Digit. Signal Process., 2017

Fast Parabola Detection Using Estimation of Distribution Algorithms.
Comput. Math. Methods Medicine, 2017

2016
Analysis of COP stability in a refrigeration system using artificial neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Applying balancing techniques in traffic sign recognition.
Artif. Intell. Res., 2014

Pitch estimation for musical note recognition using Artificial Neural Networks.
Proceedings of the 24th International Conference on Electronics, 2014

2013
Analysis of a variable speed vapor compression system using artificial neural networks.
Expert Syst. Appl., 2013

Traffic Sign Recognition Based on Linear Discriminant Analysis.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

2012
New prioritized value iteration for Markov decision processes.
Artif. Intell. Rev., 2012

Reduction of temporal complexity in Markov decision processes.
Proceedings of the 22nd International Conference on Electrical Communications and Computers, 2012

2011
Analysis of self-similar data by artificial neural networks.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2011

2010
Combination of acceleration procedures for solving stochastic shortest-path Markov decision processes.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

2008
Feature Selection Using Artificial Neural Networks.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Tank Model Coupled with an Artificial Neural Network.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Association rule-based Markov Decision Processes.
Proceedings of the fourth Latin American Workshop on Non-Monotonic Reasoning 2008 (LANMR'08) Facultad de Ciencias de la Computación de la Benemérita Universidad Autónoma de Puebla, 2008

2007
Two approximation methods to synthesize the power spectrum of fractional Gaussian noise.
Comput. Stat. Data Anal., 2007

Temperature Cycling on Simulated Annealing for Neural Network Learning.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

2000
Synthesis of fractional gaussian noise using linear approximation for generating self-similar network traffic.
Comput. Commun. Rev., 2000


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