Neil Hernández-Gress

According to our database, Neil Hernández-Gress authored at least 39 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Exploring the Relationship between Career Satisfaction and University Learning Using Data Science Models.

Sofía Ramos-Pulido, Neil Hernández-Gress, Gabriela Torres Delgado

Informatics, 2024

Machine Learning Training Optimization using the Barycentric Correction Procedure.

Sofía Ramos-Pulido, Neil Hernández-Gress, Héctor Gibrán Ceballos-Cancino

CoRR, 2024

Machine Learning Implementation for Water Quality Monitoring in the Desert State of Sonora.

Denisse Chacón Ramírez, Emilio Ríos Ochoa, Antonio Velázquez López, Neil Hernández-Gress, Miguel González-Mendoza

Proceedings of the Advances in Computational Intelligence, 2024

Analysis of Predictive Factors in University Dropout Rates Using Data Science Techniques.

Alejandro Mauricio Maqueo-Huerta, Emilio Yoltic Martínez-Gutiérrez, Rogelio Zaid Sariñana-Hernández, Favio Mariano Dileva-Charles, Neil Hernández-Gress

Proceedings of the Advances in Computational Intelligence, 2024

Analyzing Grade Inflation in Engineering Education.

Raúl V. Ramírez-Velarde, Laura Hervert-Escobar, Neil Hernández-Gress

Proceedings of the Computational Science - ICCS 2024, 2024

Evaluating Teacher's Classroom Performance.

Raúl V. Ramírez-Velarde, Laura Hervert-Escobar, Neil Hernández-Gress

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Analysis of Soft Skills and Job Level with Data Science: A Case for Graduates of a Private University.

Sofía Ramos-Pulido, Neil Hernández-Gress, Gabriela Torres Delgado

Informatics, March, 2023

Towards a Standardized Evaluation of APIs Non-Functional Requirements Focused on Completeness and Soundness Qualities.

Joanna Alvarado-Uribe, Ari Yair Barrera-Animas, Miguel González-Mendoza, Ariel Lucien García-Gamboa, Neil Hernández-Gress

Computación y Sistemas (CyS), 2023

Creating Models for Predictive Maintenance of Field Equipment in the Oil Industry Using Simulation Based Uncertainty Modelling.

Raúl V. Ramírez-Velarde, Laura Hervert-Escobar, Neil Hernández-Gress

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Supervised machine learning predictive analytics for alumni income.

Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Neil Hernández-Gress, Jose Luis Preciado, Hector G. Ceballos

J. Big Data, 2022

2021

Research Professors' Self-Assessment of Competencies.

Gabriela Torres Delgado, Neil Hernández-Gress

Future Internet, 2021

Metaheuristics in the Humanitarian Supply Chain.

Francisca Santana Robles, Eva Selene Hernández-Gress, Neil Hernández-Gress, Rafael Granillo-Macías

Algorithms, 2021

Mexican Stock Return Prediction with Differential Evolution for Hyperparameter Tuning.

Ramón Hinojosa Alejandro, Luis A. Trejo, Laura Hervert-Escobar, Neil Hernández-Gress, Enrique González-Núñez

Proceedings of the Advances in Computational Intelligence, 2021

2020

Estimating Occupancy Levels in Enclosed Spaces Using Environmental Variables: A Fitness Gym and Living Room as Evaluation Scenarios.

Andree Vela, Joanna Alvarado-Uribe, Juan Manuel Davila Delgado, Neil Hernández-Gress, Hector G. Ceballos

Sensors, 2020

Risk Profiles of Financial Service Portfolio for Women Segment Using Machine Learning Algorithms.

Jessica Ivonne Lozano-Medina, Laura Hervert-Escobar, Neil Hernández-Gress

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Early Anomalous Vehicular Traffic Detection Through Spectral Techniques and Unsupervised Learning Models.

Roberto Carlos Vazquez-Nava, Miguel González-Mendoza, Oscar Herrera-Alcántara, Neil Hernández-Gress

Proceedings of the Advances in Soft Computing, 2019

Predictive Analytics with Factor Variance Association.

Raúl V. Ramírez-Velarde, Laura Hervert-Escobar, Neil Hernández-Gress

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Bayesian Based Approach Learning for Outcome Prediction of Soccer Matches.

Laura Hervert-Escobar, Neil Hernández-Gress, Timothy I. Matis

Proceedings of the Computational Science - ICCS 2018, 2018

Statistical and Multivariate Analysis Applied to a Database of Patients with Type-2 Diabetes.

Diana Canales, Neil Hernández-Gress, Ram Akella, Ivan Perez

Proceedings of the Computational Science - ICCS 2018, 2018

2016

Molecular Docking Based on Ligand by Complexity LMC.

Mauricio Martínez-Medina, Miguel González-Mendoza, Neil Hernández-Gress

Proceedings of the Advances in Soft Computing, 2016

2015

Una herramienta visual para la búsqueda semántica RDF.

Joanna Alvarado-Uribe, Miguel González-Mendoza, Neil Hernández-Gress, Carlos Eli Escobar-Ruiz, Marcos Uriel Hernández-Camacho

Res. Comput. Sci., 2015

2014

Aceleración de la velocidad de procesamiento a través de la paralelización de algoritmos.

Israel Tabarez Paz, Neil Hernández-Gress, Miguel González-Mendoza

Res. Comput. Sci., 2014

Quadratic optimization fine tuning for the Support Vector Machines learning phase.

Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Ariel L. García-Gamboa, Neil Hernández-Gress, Jaime Mora-Vargas, Juan Carlos López Pimentel

Expert Syst. Appl., 2014

Scalability of Multiclass Simulation of Spiking Neural Networks on GPUs.

Israel Tabarez Paz, Neil Hernández-Gress, Miguel González-Mendoza, David González-Marrón

Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

Classification of Database by Using Parallelization of Algorithms Third Generation in a GPU.

Israel Tabarez Paz, Neil Hernández-Gress, Miguel González-Mendoza

Proceedings of the Engineering Applications of Neural Networks, 2014

2013

Pattern Recognition with Spiking Neural Networks.

Israel Tabarez Paz, Neil Hernández-Gress, Miguel González-Mendoza

Proceedings of the Advances in Soft Computing and Its Applications, 2013

Fuzzy Hyperheuristic Framework for GA Parameters Tuning.

Fernando Gudiño-Peñaloza, Miguel González-Mendoza, Jaime Mora-Vargas, Neil Hernández-Gress

Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

2012

Towards a Ubiquitous User Model for Profile Sharing and Reuse.

María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza, Neil Hernández-Gress

Sensors, 2012

BCP and ZQP Strategies to Reduce the SVM Training Time.

Rodolfo Ibarra-Orozco, Juan Carlos López Pimentel, Miguel González-Mendoza, Neil Hernández-Gress

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.

David González-Marrón, Miguel González-Mendoza, Neil Hernández-Gress

Proceedings of the Advances in Artificial Intelligence, 2012

2010

Business Process Mining and Rules Detection for Unstructured Information.

Dafne A. Rosso-Pelayo, Raul A. Trejo-Ramírez, Miguel González-Mendoza, Neil Hernández-Gress

Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010

An Ontology Driven Multi-agent System for Client Assignment in a Bank Queue.

María de Lourdes Martínez-Villaseñor, David González-Marrón, Miguel González-Mendoza, Neil Hernández-Gress

Proceedings of the KEOD 2010, 2010

2009

Support Vector Optimization through Hybrids: Heuristics and Math Approach.

Ariel García-Gamboa, Neil Hernández-Gress, Miguel González-Mendoza, Jaime Mora-Vargas

Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

2008

Towards a Ready-to-Use Drivers' Vigilance Monitoring System.

Rodolfo Ibarra-Orozco, Miguel González-Mendoza, Neil Hernández-Gress, Frederik Diederichs, Juha Kortelainen

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2006

Hybrid Fuzzy-SV Clustering for Heart Disease Identification.

Ariel L. García-Gamboa, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Jaime Mora-Vargas, Neil Hernández-Gress

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

2005

Comparison of SVM-Fuzzy Modelling Techniques for System Identification.

Ariel García-Gamboa, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Neil Hernández-Gress, Jaime Mora-Vargas

Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Increasing the Training Speed of SVM, the Zoutendijk Algorithm Case.

Rodolfo Ibarra-Orozco, Neil Hernández-Gress, Juan Frausto Solís, Jaime Mora-Vargas

Proceedings of the Advanced Distributed Systems: 5th International School and Symposium, 2005

Quadratic Optimization Fine Tuning for the Learning Phase of SVM.

Miguel González-Mendoza, Neil Hernández-Gress, André Titli

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.

Ariel García-Gamboa, Neil Hernández-Gress, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Jaime Mora-Vargas

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005