Marco Antonio Aceves-Fernández

Orcid: 0000-0002-5455-0329

According to our database1, Marco Antonio Aceves-Fernández authored at least 38 papers between 2005 and 2024.

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

Timeline

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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

2023
Automatic classification of depressive users on Twitter including temporal analysis.
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

Chaining a U-Net With a Residual U-Net for Retinal Blood Vessels Segmentation.
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

Markov Random Field Function minimized by Stochastic Gradient Descent.
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

Location of mammograms ROI's and reduction of false-positive.
Comput. Methods Programs Biomed., 2017

2016
Fpga Embedded PD control of a 1 DOF manipulator with a pneumatic actuator.
Int. J. Robotics Autom., 2016

KNN-based image segmentation for grapevine potassium deficiency diagnosis.
Proceedings of the 2016 International Conference on Electronics, 2016

2015
Trajectory planning for keyhole neurosurgery using fuzzy logic for risk evaluation.
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
A Fully Sensorized Cooperative Robotic System for Surgical Interventions.
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
Modeling Key Parameters for Greenhouse Using Fuzzy Clustering Techniques.
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
A 3D Sensor Based on a Profilometrical Approach.
Sensors, 2009

Capability of a Portable Chromatic Unit for Monitoring Airborne Particles over Wide Urban Areas.
J. Sensors, 2009

A Profilometric Approach for 3D Reconstruction Using Fourier and Wavelet Transforms.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

2005
Chromatic intelligent systems for pollution monitoring.
PhD thesis, 2005


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