Hiram Ponce-Espinosa

Affiliations:
  • Panamerican University, Mexico City, Mexico


According to our database1, Hiram Ponce-Espinosa authored at least 86 papers between 2009 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Towards the Distributed Wound Treatment Optimization Method for Training CNN Models: Analysis on the MNIST Dataset.
Proceedings of the 15th IEEE International Symposium on Autonomous Decentralized System, 2023

A Computer Vision Approach to Terminus Movement Analysis of Viedma Glacier.
Proceedings of the 15th IEEE International Symposium on Autonomous Decentralized System, 2023

Design of a Soft Gripper Hand for a Quadruped Robot.
Proceedings of the 15th IEEE International Symposium on Autonomous Decentralized System, 2023

Portable Device for Monitoring the Respiratory Rate in Home Conditions.
Proceedings of the 15th IEEE International Symposium on Autonomous Decentralized System, 2023

Development of an Electric Powered Assisted Cycle with a Heart Rate Sensor Control System.
Proceedings of the 15th IEEE International Symposium on Autonomous Decentralized System, 2023

2022
Modeling and simulation for designing a line walking chameleon-like legged robot.
Simul. Model. Pract. Theory, 2022

Cardiovascular Disease Detection Using Machine Learning.
Computación y Sistemas, 2022

Heart Failure Disease Prediction Using Machine Learning Models.
Proceedings of the Advances in Computational Intelligence, 2022

Machine Learning Techniques in Credit Default Prediction.
Proceedings of the Advances in Computational Intelligence, 2022

Credit Risk Models in the Mexican Context Using Machine Learning.
Proceedings of the Advances in Computational Intelligence, 2022

Machine Learning Model of Digital Transformation Index for Mexican Households.
Proceedings of the Advances in Computational Intelligence, 2022

Ventilator Pressure Prediction Using a Regularized Regression Model.
Proceedings of the Advances in Computational Intelligence, 2022

An Explainable Tool to Support Age-related Macular Degeneration Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Editorial.
Int. J. Distributed Sens. Networks, 2021

Design of a Soft Gripper Using Genetic Algorithms.
Computación y Sistemas, 2021

Click-event sound detection in automotive industry using machine/deep learning.
Appl. Soft Comput., 2021

Mexican Automotive Industry Sales Behavior During the COVID-19 Pandemic.
Proceedings of the Advances in Soft Computing, 2021

A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry.
Proceedings of the Advances in Computational Intelligence, 2021

Sentiment Analysis on Twitter About COVID-19 Vaccination in Mexico.
Proceedings of the Advances in Soft Computing, 2021

2020
Distributed evolutionary learning control for mobile robot navigation based on virtual and physical agents.
Simul. Model. Pract. Theory, 2020

Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds.
Knowl. Based Syst., 2020

A non-contact heart rate estimation method using video magnification and neural networks.
IEEE Instrum. Meas. Mag., 2020

A 2020 perspective on "A novel methodology for optimizing display advertising campaigns using genetic algorithms".
Electron. Commer. Res. Appl., 2020

Stochastic parallel extreme artificial hydrocarbon networks: An implementation for fast and robust supervised machine learning in high-dimensional data.
Eng. Appl. Artif. Intell., 2020

Supervised learning with artificial hydrocarbon networks: an open source implementation and its applications.
CoRR, 2020

A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions.
CoRR, 2020

Sensor Location Analysis and Minimal Deployment for Fall Detection System.
IEEE Access, 2020

A Comparative Analysis of Evolutionary Learning in Artificial Hydrocarbon Networks.
Proceedings of the Advances in Soft Computing, 2020

Vision-Based Autonomous Navigation with Evolutionary Learning.
Proceedings of the Advances in Computational Intelligence, 2020

A Survey on Freezing of Gait Detection and Prediction in Parkinson's Disease.
Proceedings of the Advances in Soft Computing, 2020

Implementation of a SVM on an Embedded System: A Case Study on Fall Detection.
Proceedings of the Advances in Soft Computing, 2020

Click Event Sound Detection Using Machine Learning in Automotive Industry.
Proceedings of the Advances in Soft Computing, 2020

Comparative Analysis of Artificial Hydrocarbon Networks versus Convolutional Neural Networks in Human Activity Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Online Testing in Machine Learning Approach for Fall Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Vision-Based Analysis on Leaves of Tomato Crops for Classifying Nutrient Deficiency using Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
UP-Fall Detection Dataset: A Multimodal Approach.
Sensors, 2019

An Intelligent Failure Detection on a Wireless Sensor Network for Indoor Climate Conditions.
Sensors, 2019

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

A hybrid fuzzy-molecular controller enhanced with evolutionary algorithms: A case study in a one-leg mechanism.
J. Frankl. Inst., 2019

A concise review on sensor signal acquisition and transformation applied to human activity recognition and human-robot interaction.
Int. J. Distributed Sens. Networks, 2019

A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset.
Comput. Biol. Medicine, 2019

A Method to Improve Speed of Training Algorithm in Artificial Hydrocarbon Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Deep Learning for Multimodal Fall Detection.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Towards Constant Calculation in Disjunctive Inequalities Using Wound Treatment Optimization.
Proceedings of the Advances in Soft Computing, 2019

Modeling and Control Balance Design for a New Bio-inspired Four-Legged Robot.
Proceedings of the Advances in Soft Computing, 2019

Towards Artificial Hydrocarbon Networks: The Chemical Nature of Data-Driven Approaches.
Proceedings of the 14th IEEE International Symposium on Autonomous Decentralized System, 2019

Population-Based Metaheuristic Optimization Using Organized Social Wound Treatment.
Proceedings of the 14th IEEE International Symposium on Autonomous Decentralized System, 2019

Analysis of Contextual Sensors for Fall Detection.
Proceedings of the 14th IEEE International Symposium on Autonomous Decentralized System, 2019

An Intelligent Human Fall Detection System Using a Vision-Based Strategy.
Proceedings of the 14th IEEE International Symposium on Autonomous Decentralized System, 2019

Intelligent Control Navigation Emerging on Multiple Mobile Robots Applying Social Wound Treatment.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018
Doubly fed induction generator (DFIG) wind turbine controlled by artificial organic networks.
Soft Comput., 2018

A novel methodology for optimizing display advertising campaigns using genetic algorithms.
Electron. Commer. Res. Appl., 2018

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

Analysis of Constraint-Handling in Metaheuristic Approaches for the Generation and Transmission Expansion Planning Problem with Renewable Energy.
Complex., 2018

A Novel Artificial Organic Control System for Mobile Robot Navigation in Assisted Living Using Vision- and Neural-Based Strategies.
Comput. Intell. Neurosci., 2018

Multimodal Database for Human Activity Recognition and Fall Detection.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Design and Equilibrium Control of a Force-Balanced One-Leg Mechanism.
Proceedings of the Advances in Computational Intelligence, 2018

A Genetic Algorithm to Solve Power System Expansion Planning with Renewable Energy.
Proceedings of the Advances in Soft Computing, 2018

A Reinforcement Learning Method for Continuous Domains Using Artificial Hydrocarbon Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Distance Estimation Using a Bio-Inspired Optical Flow Strategy Applied to Neuro-Robotics.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A New Vision-Based Method Using Deep Learning for Damage Inspection in Wind Turbine Blades.
Proceedings of the 15th International Conference on Electrical Engineering, 2018

A Conceptual Design of a Firefighter Drone.
Proceedings of the 15th International Conference on Electrical Engineering, 2018

Heart Rate Estimation using Hermite Transform Video Magnification and Deep Learning<sup>*</sup>.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

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

Versatility of Artificial Hydrocarbon Networks for Supervised Learning.
Proceedings of the Advances in Soft Computing, 2017

Human Activity Recognition on Mobile Devices Using Artificial Hydrocarbon Networks.
Proceedings of the Advances in Soft Computing, 2017

Interpretability of artificial hydrocarbon networks for breast cancer classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Design of an automated hive for bee proliferation and crop betterment.
Proceedings of the 14th International Conference on Electrical Engineering, 2017

2016
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks.
Sensors, 2016

A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks.
Sensors, 2016

A Novel Artificial Hydrocarbon Networks Based Value Function Approximation in Hierarchical Reinforcement Learning.
Proceedings of the Advances in Soft Computing, 2016

Feature Selection Methods Evaluation for CTR Estimation.
Proceedings of the Fifteenth Mexican International Conference on Artificial Intelligence, 2016

2015
Predicción del CTR de los anuncios de Internet usando redes orgánicas artificiales.
Res. Comput. Sci., 2015

The development of an artificial organic networks toolkit for LabVIEW.
J. Comput. Chem., 2015

A novel robust liquid level controller for coupled-tanks systems using artificial hydrocarbon networks.
Expert Syst. Appl., 2015

Comparative Analysis of Artificial Hydrocarbon Networks and Data-Driven Approaches for Human Activity Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, 2015

Artificial Hydrocarbon Networks for Online Sales Prediction.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

A Case Study in Hybrid Multi-threading and Hierarchical Reinforcement Learning Approach for Cooperative Multi-agent Systems.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015

2014
Artificial Organic Networks - Artificial Intelligence Based on Carbon Networks
Studies in Computational Intelligence 521, Springer, ISBN: 978-3-319-02471-4, 2014

Adaptive noise filtering based on artificial hydrocarbon networks: An application to audio signals.
Expert Syst. Appl., 2014

A Hierarchical Reinforcement Learning Based Artificial Intelligence for Non-Player Characters in Video Games.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Bio-inspired Training Algorithms for Artificial Hydrocarbon Networks: A Comparative Study.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

2013
A Novel Training Algorithm for Artificial Hydrocarbon Networks Using an Energy Model of Covalent Bonds.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

2012
A novel adaptive filtering for audio signals using artificial hydrocarbon networks.
Proceedings of the 9th International Conference on Electrical Engineering, 2012

2009
A Neuro-Fuzzy Controller for Collaborative Applications in Robotics Using LabVIEW.
Appl. Comput. Intell. Soft Comput., 2009


  Loading...