Miguel González-Mendoza

Orcid: 0000-0001-6451-9109

Affiliations:
  • Monterrey Institute of Technology and Higher Education, Department of Computer Sciences, Mexico


According to our database1, Miguel González-Mendoza authored at least 115 papers between 2004 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach.
Eng. Appl. Artif. Intell., January, 2024

On the In Vivo Recognition of Kidney Stones Using Machine Learning.
IEEE Access, 2024

2023
FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery.
Neural Comput. Appl., September, 2023

A survey on the pipeline evolution of facial capture and tracking for digital humans.
Multim. Syst., August, 2023

A predictive model for stress recognition in desk jobs.
J. Ambient Intell. Humaniz. Comput., 2023

An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery.
Computación y Sistemas (CyS), 2023

Towards a Standardized Evaluation of APIs Non-Functional Requirements Focused on Completeness and Soundness Qualities.
Computación y Sistemas (CyS), 2023

Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores.
Proceedings of the Cancer Prevention Through Early Detection, 2023

FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation.
Proceedings of the Advances in Soft Computing, 2023

Benchmark Analysis for Backbone Optimization in a Facial Reconstruction Model.
Proceedings of the Advances in Computational Intelligence, 2023

An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery.
Proceedings of the Advances in Computational Intelligence, 2023

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Exploring the Effectiveness of Lightweight Architectures for Face Anti-Spoofing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Isolated Sign Language Recognition based on Tree Structure Skeleton Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Correction to: Action recognition by key trajectories.
Pattern Anal. Appl., 2022

Action recognition by key trajectories.
Pattern Anal. Appl., 2022

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
CoRR, 2022

Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation.
CoRR, 2022

On the in vivo recognition of kidney stones using machine learning.
CoRR, 2022

Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods.
CoRR, 2022

Towards Accurate and Lightweight Masked Face Recognition: An Experimental Evaluation.
IEEE Access, 2022

Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures.
Proceedings of the Advances in Computational Intelligence, 2022

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
Proceedings of the Advances in Computational Intelligence, 2022

Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation.
Proceedings of the Advances in Computational Intelligence, 2022

A Study of the Frameworks for Digital Humans: Analyzing Facial Tracking evolution and New Research Directions with AI.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video.
CoRR, 2021

Comparing ML based Segmentation Models on Jet Fire Radiation Zone.
CoRR, 2021

Assessing deep learning methods for the identification of kidney stones in endoscopic images.
CoRR, 2021

Assessing the applicability of Deep Learning-based visible-infrared fusion methods for fire imagery.
CoRR, 2021

Benchmarking lightweight face architectures on specific face recognition scenarios.
Artif. Intell. Rev., 2021

A Study on the Performance of Unconstrained Very Low Resolution Face Recognition: Analyzing Current Trends and New Research Directions.
IEEE Access, 2021

Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets.
Proceedings of the Advances in Computational Intelligence, 2021

Real-Time Mexican Sign Language Interpretation Using CNN and HMM.
Proceedings of the Advances in Computational Intelligence, 2021

Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact.
Proceedings of the Advances in Computational Intelligence, 2021

Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones.
Proceedings of the Advances in Computational Intelligence, 2021

Real Time Distraction Detection by Facial Attributes Recognition.
Proceedings of the Advances in Computational Intelligence, 2021

Predicting Soccer Results Through Sentiment Analysis: A Graph Theory Approach.
Proceedings of the Computational Science - ICCS 2021, 2021

Assessing deep learning methods for the identification of kidney stones in endoscopic images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Method for Introducing IoT Project Development Using Free Software Tools.
Res. Comput. Sci., 2020

Automatic Detection of Social Isolation based on Human behavior Analysis.
Computación y Sistemas, 2020

Exploitation of Deaths Registry in Mexico to Estimate the Total Deaths by Influenza Virus: A Preparation to Estimate the Advancement of COVID-19.
Proceedings of the Advances in Soft Computing, 2020

Lightweight Low-Resolution Face Recognition for Surveillance Applications.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Monitoring Student Activities with Smartwatches: On the Academic Performance Enhancement.
Sensors, 2019

Detección de comandos de voz con modelos compactos de aprendizaje profundo.
Res. Comput. Sci., 2019

Fuzzy aggregation of similarity values for electronic health record interoperability.
J. Intell. Fuzzy Syst., 2019

Inverse formulas of length twelve parameterized orthogonal wavelets.
J. Intell. Fuzzy Syst., 2019

Correction to: Inverse formulas of parameterized orthogonal wavelets.
Computing, 2019

Effective and Generalizable Graph-Based Clustering for Faces in the Wild.
Comput. Intell. Neurosci., 2019

Early Anomalous Vehicular Traffic Detection Through Spectral Techniques and Unsupervised Learning Models.
Proceedings of the Advances in Soft Computing, 2019

Solving Dynamic Combinatorial Optimization Problems Using a Probabilistic Distribution as Self-adaptive Mechanism in a Genetic Algorithm.
Proceedings of the Advances in Soft Computing, 2019

Improving the Dense Trajectories Approach Towards Efficient Recognition of Simple Human Activities.
Proceedings of the 7th International Workshop on Biometrics and Forensics, 2019

ShuffleFaceNet: A Lightweight Face Architecture for Efficient and Highly-Accurate Face Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Solving binary cutting stock with matheuristics using particle swarm optimization and simulated annealing.
Soft Comput., 2018

HyRA: A Hybrid Recommendation Algorithm Focused on Smart POI. Ceutí as a Study Scenario.
Sensors, 2018

Recopilación de bases de datos de estacionamientos para aplicaciones en visión computacional.
Res. Comput. Sci., 2018

Neuronas artificiales con wavelets paramétricos.
Res. Comput. Sci., 2018

Mejoras al algoritmo de trayectorias densas para el reconocimiento de acciones en video.
Res. Comput. Sci., 2018

Some features speak loud, but together they all speak louder: A study on the correlation between classification error and feature usage in decision-tree classification ensembles.
Eng. Appl. Artif. Intell., 2018

A Statistical Background Modeling Algorithm for Real-Time Pixel Classification.
Computación y Sistemas, 2018

Advances in applied computational intelligence: MICAI 2016.
Computing, 2018

Inverse formulas of parameterized orthogonal wavelets.
Computing, 2018

A New Software Library for Mobile Sensing Using FIWARE Technologies.
Proceedings of the Advances in Computational Intelligence, 2018

SMARTSDK - A FIWARE-Based Software Development Kit for Smart Applications for the Needs of Europe and Mexico.
Proceedings of the Advances in Service-Oriented and Cloud Computing, 2018

2017
Special issue on Mexican International Conference on Artificial Intelligence, MICAI 2014 and 2015.
Soft Comput., 2017

Ecuaciones inversas de filtros de reconstrucción perfecta.
Res. Comput. Sci., 2017

Decision-Making Intelligent System for Passenger of Urban Transports.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Towards Job Stress Recognition Based on Behavior and Physiological Features.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Fuzzy-Based Approach of Concept Alignment.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Jeffrey Divergence Applied to Docking Virtual.
Proceedings of the Advances in Soft Computing, 2017

The Traffic Status and Pollutant Status Ontologies for the Smart City Domain.
Proceedings of the Advances in Computational Intelligence, 2017

A Predictive Model for Automatic Detection of Social Isolation in Older Adults.
Proceedings of the 2017 International Conference on Intelligent Environments, 2017

Towards the Development of a Smart Tourism Application Based on Smart POI and Recommendation Algorithms: Ceutí as a Study Case.
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2017

2016
A Linked List-Based Algorithm for Blob Detection on Embedded Vision-Based Sensors.
Sensors, 2016

Acoplamiento molecular basado en ligando por Complejidad LMC.
Res. Comput. Sci., 2016

Interoperability in Electronic Health Records Through the Mediation of Ubiquitous User Model.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Molecular Docking Based on Ligand by Complexity LMC.
Proceedings of the Advances in Soft Computing, 2016

2015
Identificación de gases mediante medición de complejidad.
Res. Comput. Sci., 2015

Uso de técnicas de agrupamiento en la clasificación de estilos de aprendizaje.
Res. Comput. Sci., 2015

Hacia la construcción de una herramienta para la creación de bitácoras para Android.
Res. Comput. Sci., 2015

Una herramienta visual para la búsqueda semántica RDF.
Res. Comput. Sci., 2015

2014
Aceleración de la velocidad de procesamiento a través de la paralelización de algoritmos.
Res. Comput. Sci., 2014

Diseño de agentes para recuperar información para el enriquecimiento de ontologías dirigidas a epidemiología: el caso de la tuberculosis.
Res. Comput. Sci., 2014

Quadratic optimization fine tuning for the Support Vector Machines learning phase.
Expert Syst. Appl., 2014

Methods and applications of artificial and computational intelligence.
Expert Syst. Appl., 2014

Enriquecimiento del perfil del estudiante mediante la interoperabilidad de modelos de usuario ubicuos.
Computación y Sistemas, 2014

Solving Binary Cutting Stock with Matheuristics.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Scalability of Multiclass Simulation of Spiking Neural Networks on GPUs.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

Sharing and Reusing Context Information in Ubiquitous Computing Environments.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

Classification of Database by Using Parallelization of Algorithms Third Generation in a GPU.
Proceedings of the Engineering Applications of Neural Networks, 2014

2013
An Enhanced Process of Concept Alignment for Dealing with Overweight and Obesity.
J. Univers. Comput. Sci., 2013

Pattern Recognition with Spiking Neural Networks.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Fuzzy Hyperheuristic Framework for GA Parameters Tuning.
Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

Semantic Representation of CAD Models Based on the IGES Standard.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2013

Consumption of Profile Information from Heterogeneous Sources to Leverage Human-Computer Interaction.
Proceedings of the Human Computer Interaction - 6th Latin American Conference, 2013

2012
Towards a Ubiquitous User Model for Profile Sharing and Reuse.
Sensors, 2012

Process of Concept Alignment for Interoperability between Heterogeneous Sources.
Proceedings of the Advances in Artificial Intelligence, 2012

BCP and ZQP Strategies to Reduce the SVM Training Time.
Proceedings of the 11th Mexican International Conference on Artificial Intelligence, 2012

Generation and Exploitation of Semantic Information Using an Epidemiological Relational Database as a Primary Source of Information.
Proceedings of the Advances in Artificial Intelligence, 2012

Towards the Creation of Semantic Models Based on Computer-Aided Designs.
Proceedings of the Advances in Artificial Intelligence, 2012

Towards Ubiquitous User Modeling Interoperability for Dealing with Overweight and Obesity.
Proceedings of the Ambient Assisted Living and Home Care - 4th International Workshop, 2012

Towards an Ontology for Ubiquitous User Modeling Interoperability.
Proceedings of the KEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, Barcelona, Spain, 4, 2012

2011
Optimization of Parameterized Compactly Supported Orthogonal Wavelets for Data Compression.
Proceedings of the Advances in Soft Computing, 2011

2010
Business Process Mining and Rules Detection for Unstructured Information.
Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010

An Ontology Driven Multi-agent System for Client Assignment in a Bank Queue.
Proceedings of the KEOD 2010, 2010

2009
Using Wolfe's Method in Support Vector Machines Learning Stage.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

Support Vector Optimization through Hybrids: Heuristics and Math Approach.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

2008
Towards a Ready-to-Use Drivers' Vigilance Monitoring System.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2006
Hybrid Fuzzy-SV Clustering for Heart Disease Identification.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

Sistema Adaptable para el Seguimiento de Camino Aplicado a Sistemas de Transporte Inteligentes.
Proceedings of the Connecting the Americas. 12th Americas Conference on Information Systems, 2006

2005
Comparison of SVM-Fuzzy Modelling Techniques for System Identification.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Quadratic Optimization Fine Tuning for the Learning Phase of SVM.
Proceedings of the Advanced Distributed Systems: 5th International School and Symposium, 2005

A Comparison of Different Initialization Strategies to Reduce the Training Time of Support Vector Machines.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Surveillance temps-réel des systèmes Homme-Machine. Application à l'assistance à la conduite automobile. (Real-time monitoring of Human-Machine systems. Application to driver assistance systems).
PhD thesis, 2004


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