Marco Antonio Aceves-Fernández
Orcid: 0000-0002-5455-0329
According to our database1,
Marco Antonio Aceves-Fernández
authored at least 39 papers
between 2005 and 2024.
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Bibliography
2024
Unraveling the complexity: deep learning for imbalanced retinal lesion detection and multi-disease identification.
Netw. Model. Anal. Health Informatics Bioinform., December, 2024
Quasi/Periodic Noise Reduction in Images Using Modified Multiresolution-Convolutional Neural Networks for 3D Object Reconstructions and Comparison with Other Convolutional Neural Network Models.
Comput., June, 2024
2023
Netw. Model. Anal. Health Informatics Bioinform., December, 2023
2022
Classification of attention levels using a Random Forest algorithm optimized with Particle Swarm Optimization.
Evol. Syst., 2022
Capability of an Elman Recurrent Neural Network for predicting the non-linear behavior of airborne pollutants.
Earth Sci. Informatics, 2022
A survey of approaches in Deep Learning techniques for the detection and classification of mammography abnormalities.
Proceedings of the 19th International Conference on Electrical Engineering, 2022
2021
Capability of a Recurrent Deep Neural Network Optimized by Swarm Intelligence Techniques to Predict Exceedances of Airborne Pollution (PMx) in Largely Populated Areas.
Proceedings of the International Conference on Information Technology, 2021
2020
Red neuronal convolucional de baja latencia para la estimación de profundidad monocular.
Res. Comput. Sci., 2020
Análisis comparativo de métodos de desdoblamiento de fase en perfilometría por desplazamiento de fase.
Res. Comput. Sci., 2020
An improved particle swarm optimization (PSO): method to enhance modeling of airborne particulate matter (PM10).
Evol. Syst., 2020
Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks.
Earth Sci. Informatics, 2020
IEEE Access, 2020
2019
Propuesta de red neuronal convolutiva para la predicción de partículas contaminantes PM10.
Res. Comput. Sci., 2019
Propuesta de mejora de modelado de partículas contaminantes PM10 mediante algoritmos de inteligencia colectiva de bacteria BFOA.
Res. Comput. Sci., 2019
Steady-state visual evoked potential (SSEVP) from EEG signal modeling based upon recurrence plots.
Evol. Syst., 2019
Methodology Proposal of EMG Hand Movement Classification Based on Cross Recurrence Plots.
Comput. Math. Methods Medicine, 2019
Search for Dementia Patterns in Transcribed Conversations using Natural Language Processing.
Proceedings of the 16th International Conference on Electrical Engineering, 2019
Proceedings of the 16th International Conference on Electrical Engineering, 2019
Evaluation of a Recurrent Neural Network LSTM for the Detection of Exceedances of Particles PM10.
Proceedings of the 16th International Conference on Electrical Engineering, 2019
2017
Risk map generation for keyhole neurosurgery using fuzzy logic for trajectory evaluation.
Neurocomputing, 2017
Comput. Methods Programs Biomed., 2017
2016
Int. J. Robotics Autom., 2016
Proceedings of the 2016 International Conference on Electronics, 2016
2015
Proceedings of the 12th International Conference on Electrical Engineering, 2015
2014
HTG-Based Kinematic Modeling for Positioning of a Multi-Articulated Wheeled Mobile Manipulator.
J. Intell. Robotic Syst., 2014
Enhancement of a Neuro-Fuzzy Models Using Ant Colony Optimization for the Prediction Level of CO Pollution.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014
Automatic segmentation of mammograms using a Scale-Invariant Feature Transform and K-means clustering algorithm.
Proceedings of the 11th International Conference on Electrical Engineering, 2014
2013
Alignment of the Measurement Scale Mark during Immersion Hydrometer Calibration Using an Image Processing System.
Sensors, 2013
2012
Sensors, 2012
2011
Evaluating trends of airborne contaminants by using support vector regression techniques.
Proceedings of the CONIELECOMP 2011, 21st International Conference on Electrical, Communications, and Computers, 28 February, 2011
Performance assessment of fuzzy clustering models applied to urban airborne pollution.
Proceedings of the CONIELECOMP 2011, 21st International Conference on Electrical, Communications, and Computers, 28 February, 2011
2010
Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010
Fuzzy Logic Hardware Implementation for Pneumatic Control of One DOF Pneumatic Robot.
Proceedings of the Advances in Soft Computing, 2010
A comparison between local and global phase unwrapping algorithms in a modified Fourier Transform Profilometry Method.
Proceedings of the 20th International Conference on Electronics, 2010
Comparison between Fuzzy C-means clustering and Fuzzy Clustering Subtractive in urban air pollution.
Proceedings of the 20th International Conference on Electronics, 2010
2009
Capability of a Portable Chromatic Unit for Monitoring Airborne Particles over Wide Urban Areas.
J. Sensors, 2009
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009
2005