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Marco Antonio Aceves-Fernández
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2020 – today
- 2024
- [j23]Osmar Antonio Espinosa-Bernal
, Jesús Carlos Pedraza Ortega
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. 13(6): 145 (2024) - [j22]Luis Eduardo Mauricio-Álvarez, Marco Antonio Aceves-Fernández, Jesús Carlos Pedraza Ortega, Juan Manuel Ramos Arreguín:
Evaluation of a transformer-based model for the temporal forecast of coarse particulate matter (PMCO) concentrations. Earth Sci. Informatics 17(4): 3095-3110 (2024) - [j21]Gendry Alfonso Francia
Unraveling the complexity: deep learning for imbalanced retinal lesion detection and multi-disease identification. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 3 (2024) - 2023
- [j20]Luis Roberto García-Noguez, Saúl Tovar-Arriaga
Automatic classification of depressive users on Twitter including temporal analysis. Netw. Model. Anal. Health Informatics Bioinform. 12(1): 38 (2023) - 2022
- [j19]David Barrero-González, Julio Alberto Ramírez Montañez, Marco Antonio Aceves-Fernández
Capability of an Elman Recurrent Neural Network for predicting the non-linear behavior of airborne pollutants. Earth Sci. Informatics 15(1): 125-135 (2022) - [j18]María Guadalupe Bedolla-Ibarra, María del Cármen Cabrera-Hernández, Marco Antonio Aceves-Fernández
Classification of attention levels using a Random Forest algorithm optimized with Particle Swarm Optimization. Evol. Syst. 13(5): 687-702 (2022) - [c16]Cecilia Gabriela Rodríguez Flores, Jesús Carlos Pedraza Ortega
A survey of approaches in Deep Learning techniques for the detection and classification of mammography abnormalities. CCE 2022: 1-6 - 2021
- [c15]Gerardo Javier Kuri-Monge, Marco Antonio Aceves-Fernández
Capability of a Recurrent Deep Neural Network Optimized by Swarm Intelligence Techniques to Predict Exceedances of Airborne Pollution (PMx) in Largely Populated Areas. ICIT 2021: 61-68 - 2020
- [j17]Gendry Alfonso Francia
Chaining a U-Net With a Residual U-Net for Retinal Blood Vessels Segmentation. IEEE Access 8: 38493-38500 (2020) - [j16]Josue Becerra-Rico, Marco Antonio Aceves-Fernández
Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks. Earth Sci. Informatics 13(3): 821-834 (2020) - [j15]B. Ordóñez-De León, Marco Antonio Aceves-Fernández
An improved particle swarm optimization (PSO): method to enhance modeling of airborne particulate matter (PM10). Evol. Syst. 11(4): 615-624 (2020) - [j14]Edgar Rodrigo López Silva, Luis Rogelio Román Rivera, Jesús Carlos Pedraza Ortega, Marco Antonio Aceves-Fernández, Juan Manuel Ramos Arreguín:
Red neuronal convolucional de baja latencia para la estimación de profundidad monocular. Res. Comput. Sci. 149(8): 327-337 (2020) - [j13]Luis Arturo Alvarado Escoto, Jesús Carlos Pedraza Ortega, Juan Manuel Ramos Arreguín, Efrén Gorrostieta Hurtado, Marco Antonio Aceves-Fernández:
Análisis comparativo de métodos de desdoblamiento de fase en perfilometría por desplazamiento de fase. Res. Comput. Sci. 149(8): 699-712 (2020)
2010 – 2019
- 2019
- [j12]Marco Antonio Aceves-Fernández
Methodology Proposal of EMG Hand Movement Classification Based on Cross Recurrence Plots. Comput. Math. Methods Medicine 2019: 6408941:1-6408941:15 (2019) - [j11]Santiago M. Fernandez-Fraga, Marco Antonio Aceves-Fernández
Steady-state visual evoked potential (SSEVP) from EEG signal modeling based upon recurrence plots. Evol. Syst. 10(2): 97-109 (2019) - [j10]Ricardo Domínguez-Guevara, María del Cármen Cabrera-Hernández, Marco Antonio Aceves-Fernández, Jesús Carlos Pedraza Ortega:
Propuesta de red neuronal convolutiva para la predicción de partículas contaminantes PM10. Res. Comput. Sci. 148(7): 51-63 (2019) - [j9]María del Cármen Cabrera-Hernández, Julio Alberto Ramírez Montañez, Marco Antonio Aceves-Fernández, Jesús Carlos Pedraza Ortega, Juan Manuel Ramos Arreguín:
Propuesta de mejora de modelado de partículas contaminantes PM10 mediante algoritmos de inteligencia colectiva de bacteria BFOA. Res. Comput. Sci. 148(8): 13-26 (2019) - [c14]Julio Alberto Ramírez Montañez, Marco Antonio Aceves-Fernández
Evaluation of a Recurrent Neural Network LSTM for the Detection of Exceedances of Particles PM10. CCE 2019: 1-6 - [c13]Luis Rogelio Román Rivera
Markov Random Field Function minimized by Stochastic Gradient Descent. CCE 2019: 1-6 - [c12]Damián Solís Rosas, Saúl Tovar-Arriaga
Search for Dementia Patterns in Transcribed Conversations using Natural Language Processing. CCE 2019: 1-6 - 2017
- [j8]Luis Antonio Salazar-Licea
Location of mammograms ROI's and reduction of false-positive. Comput. Methods Programs Biomed. 143: 97-111 (2017) - [j7]Alejandro De Leon-Cuevas, Saúl Tovar-Arriaga
Risk map generation for keyhole neurosurgery using fuzzy logic for trajectory evaluation. Neurocomputing 233: 81-89 (2017) - 2016
- [j6]Juan Manuel Ramos Arreguín, Saúl Tovar-Arriaga
Fpga Embedded PD control of a 1 DOF manipulator with a pneumatic actuator. Int. J. Robotics Autom. 31(3) (2016) - [c11]Baldomero Manuel Sanchez Rangel, Marco Antonio Aceves-Fernández
KNN-based image segmentation for grapevine potassium deficiency diagnosis. CONIELECOMP 2016: 48-53 - 2015
- [c10]Alejandro De Leon-Cuevas, Saúl Tovar-Arriaga
Trajectory planning for keyhole neurosurgery using fuzzy logic for risk evaluation. CCE 2015: 1-6 - 2014
- [j5]L. A. Zúñiga-Avilés, Jesús Carlos Pedraza Ortega
HTG-Based Kinematic Modeling for Positioning of a Multi-Articulated Wheeled Mobile Manipulator. J. Intell. Robotic Syst. 76(2): 267-282 (2014) - [c9]Luis Antonio Salazar-Licea
Automatic segmentation of mammograms using a Scale-Invariant Feature Transform and K-means clustering algorithm. CCE 2014: 1-6 - [c8]Elizabeth Martinez-Zeron, Marco Antonio Aceves-Fernández
Enhancement of a Neuro-Fuzzy Models Using Ant Colony Optimization for the Prediction Level of CO Pollution. MICAI (Special Sessions) 2014: 141-146 - 2013
- [j4]Luis Manuel Peña-Perez, Jesús Carlos Pedraza Ortega
Alignment of the Measurement Scale Mark during Immersion Hydrometer Calibration Using an Image Processing System. Sensors 13(11): 14367-14397 (2013) - 2012
- [j3]Saúl Tovar-Arriaga
A Fully Sensorized Cooperative Robotic System for Surgical Interventions. Sensors 12(7): 9423-9447 (2012) - 2011
- [c7]Artemio Sotomayor-Olmedo, Marco Antonio Aceves-Fernández
Evaluating trends of airborne contaminants by using support vector regression techniques. CONIELECOMP 2011: 137-141 - [c6]Marco Antonio Aceves-Fernández
Performance assessment of fuzzy clustering models applied to urban airborne pollution. CONIELECOMP 2011: 212-216 - 2010
- [c5]José Iván Collazo-Cuevas, Marco Antonio Aceves-Fernández
Comparison between Fuzzy C-means clustering and Fuzzy Clustering Subtractive in urban air pollution. CONIELECOMP 2010: 174-179 - [c4]Artemio Sotomayor-Olmedo, Jesús Carlos Pedraza Ortega
A comparison between local and global phase unwrapping algorithms in a modified Fourier Transform Profilometry Method. CONIELECOMP 2010: 301-306 - [c3]Efrén Gorrostieta Hurtado, Artemio Sotomayor-Olmedo, Jesús Carlos Pedraza Ortega
Modeling Key Parameters for Greenhouse Using Fuzzy Clustering Techniques. MICAI (Special Sessions) 2010: 103-106 - [c2]Juan Manuel Ramos Arreguín, Emmanuel Guillen-Garcia, Sandra Luz Canchola-Magdaleno
Fuzzy Logic Hardware Implementation for Pneumatic Control of One DOF Pneumatic Robot. MICAI (2) 2010: 500-511
2000 – 2009
- 2009
- [j2]Marco Antonio Aceves-Fernández
Capability of a Portable Chromatic Unit for Monitoring Airborne Particles over Wide Urban Areas. J. Sensors 2009: 693801:1-693801:7 (2009) - [j1]Jesús Carlos Pedraza Ortega
A 3D Sensor Based on a Profilometrical Approach. Sensors 9(12): 10326-10340 (2009) - [c1]Jesús Carlos Pedraza Ortega
A Profilometric Approach for 3D Reconstruction Using Fourier and Wavelet Transforms. MICAI 2009: 313-323 - 2005
- [b1]Marco Antonio Aceves-Fernández:
Chromatic intelligent systems for pollution monitoring. University of Liverpool, UK, 2005
Coauthor Index
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