Miguel González-Mendoza
Orcid: 0000-0001-6451-9109Affiliations:
- Monterrey Institute of Technology and Higher Education, Department of Computer Sciences, Mexico
According to our database1,
Miguel González-Mendoza
authored at least 127 papers
between 2004 and 2024.
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Bibliography
2024
Knowledge Distillation in Video-Based Human Action Recognition: An Intuitive Approach to Efficient and Flexible Model Training.
J. Imaging, April, 2024
Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach.
Eng. Appl. Artif. Intell., January, 2024
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition.
CoRR, 2024
IEEE Access, 2024
Building Resilience Against Climate Change. Focusing on Predicting Precipitation with Machine Learning Models on Mexico's Metropolitan Area.
Proceedings of the Advances in Computational Intelligence, 2024
Machine Learning Implementation for Water Quality Monitoring in the Desert State of Sonora.
Proceedings of the Advances in Computational Intelligence, 2024
Predicting and Classifying Contaminants in Mexican Water Bodies: A Machine Learning Approach.
Proceedings of the Advances in Computational Intelligence, 2024
Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam.
Proceedings of the Advances in Computational Intelligence, 2024
SwiftFaceFormer: An Efficient and Lightweight Hybrid Architecture for Accurate Face Recognition Applications.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Assessing the Performance of Efficient Face Anti-Spoofing Detection Against Physical and Digital Presentation Attacks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
On the Link Between Model Performance and Causal Scoring of Medical Image Explanations.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 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
Hacia una categorización en el problema de asignación de recursos en logística humanitaria y su resolución utilizando aprendizaje automático.
Res. Comput. Sci., 2023
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
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
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
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
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
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
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
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the Advances in Computational Intelligence, 2021
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Res. Comput. Sci., 2020
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
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Monitoring Student Activities with Smartwatches: On the Academic Performance Enhancement.
Sensors, 2019
Res. Comput. Sci., 2019
Fuzzy aggregation of similarity values for electronic health record interoperability.
J. Intell. Fuzzy Syst., 2019
J. Intell. Fuzzy Syst., 2019
Computing, 2019
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
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
Computación y Sistemas, 2018
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
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Proceedings of the Advances in Soft Computing, 2017
Proceedings of the Advances in Computational Intelligence, 2017
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
Sensors, 2016
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
Proceedings of the Advances in Soft Computing, 2016
2015
Res. Comput. Sci., 2015
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
Expert Syst. Appl., 2014
Expert Syst. Appl., 2014
Enriquecimiento del perfil del estudiante mediante la interoperabilidad de modelos de usuario ubicuos.
Computación y Sistemas, 2014
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014
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
J. Univers. Comput. Sci., 2013
Proceedings of the Advances in Soft Computing and Its Applications, 2013
Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013
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
Proceedings of the Advances in Artificial Intelligence, 2012
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
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
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
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009
2008
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008
2006
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
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005
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