A Comparison of Different Initialization Strategies to Reduce the Training Time of Support Vector Machines. - Ariel García-Gamboa; Neil Hernández-Gress; Miguel González-Mendoza 001; Rodolfo Ibarra-Orozco; Jaime Mora-Vargas (ICANN (2), 2005)

Quadratic Optimization Fine Tuning for the Learning Phase of SVM. - Miguel González-Mendoza 001; Neil Hernández-Gress; André Titli (ISSADS, 2005)

Increasing the Training Speed of SVM, the Zoutendijk Algorithm Case. - Rodolfo Ibarra-Orozco; Neil Hernández-Gress; Juan Frausto Solís; Jaime Mora-Vargas (ISSADS, 2005)

Comparison of SVM-Fuzzy Modelling Techniques for System Identification. - Ariel García-Gamboa; Miguel González-Mendoza 001; Rodolfo Ibarra-Orozco; Neil Hernández-Gress; Jaime Mora-Vargas (MICAI, 2005)

Hybrid Fuzzy-SV Clustering for Heart Disease Identification. - Ariel L. García-Gamboa; Miguel González-Mendoza 001; Rodolfo Ibarra-Orozco; Jaime Mora-Vargas; Neil Hernández-Gress (CIMCA/IAWTIC, 2006)

Towards a Ready-to-Use Drivers' Vigilance Monitoring System. - Rodolfo Ibarra-Orozco; Miguel González-Mendoza 001; Neil Hernández-Gress; Frederik Diederichs; Juha Kortelainen (CIMCA/IAWTIC/ISE, 2008)

Support Vector Optimization through Hybrids: Heuristics and Math Approach. - Ariel García-Gamboa; Neil Hernández-Gress; Miguel González-Mendoza 001; Jaime Mora-Vargas (MICAI, 2009)

An Ontology Driven Multi-agent System for Client Assignment in a Bank Queue. - María de Lourdes Martínez-Villaseñor; David González-Marrón; Miguel González-Mendoza 001; Neil Hernández-Gress (KEOD, 2010)

Business Process Mining and Rules Detection for Unstructured Information. - Dafne A. Rosso-Pelayo; Raul A. Trejo-Ramírez; Miguel González-Mendoza 001; Neil Hernández-Gress (MICAI (Special Sessions), 2010)

Generation and Exploitation of Semantic Information Using an Epidemiological Relational Database as a Primary Source of Information. - David González-Marrón; Miguel González-Mendoza 001; Neil Hernández-Gress (MICAI (1), 2012)

BCP and ZQP Strategies to Reduce the SVM Training Time. - Rodolfo Ibarra-Orozco; Juan Carlos López Pimentel; Miguel González-Mendoza 001; Neil Hernández-Gress (MICAI (Special Sessions), 2012)

Towards a Ubiquitous User Model for Profile Sharing and Reuse. - María de Lourdes Martínez-Villaseñor; Miguel González-Mendoza 001; Neil Hernández-Gress (Sensors, 2012)

Fuzzy Hyperheuristic Framework for GA Parameters Tuning. - Fernando Gudiño-Peñaloza; Miguel González-Mendoza 001; Jaime Mora-Vargas; Neil Hernández-Gress (MICAI (Special Sessions), 2013)

Pattern Recognition with Spiking Neural Networks. - Israel Tabarez Paz; Neil Hernández-Gress; Miguel González-Mendoza 001 (MICAI (2), 2013)

Classification of Database by Using Parallelization of Algorithms Third Generation in a GPU. - Israel Tabarez Paz; Neil Hernández-Gress; Miguel González-Mendoza 001 (EANN, 2014)

Scalability of Multiclass Simulation of Spiking Neural Networks on GPUs. - Israel Tabarez Paz; Neil Hernández-Gress; Miguel González-Mendoza 001; David González-Marrón (MICAI (Special Sessions), 2014)

Quadratic optimization fine tuning for the Support Vector Machines learning phase. - Miguel González-Mendoza 001; Rodolfo Ibarra-Orozco; Ariel L. García-Gamboa; Neil Hernández-Gress; Jaime Mora-Vargas; Juan Carlos López Pimentel (Expert Syst. Appl., 2014)

Aceleración de la velocidad de procesamiento a través de la paralelización de algoritmos. - Israel Tabarez Paz; Neil Hernández-Gress; Miguel González-Mendoza 001 (Res. Comput. Sci., 2014)

Una herramienta visual para la búsqueda semántica RDF. - Joanna Alvarado-Uribe; Miguel González-Mendoza 001; Neil Hernández-Gress; Carlos Eli Escobar-Ruiz; Marcos Uriel Hernández-Camacho (Res. Comput. Sci., 2015)

Molecular Docking Based on Ligand by Complexity LMC. - Mauricio Martínez-Medina; Miguel González-Mendoza 001; Neil Hernández-Gress (MICAI (2), 2016)

Statistical and Multivariate Analysis Applied to a Database of Patients with Type-2 Diabetes. - Diana Canales; Neil Hernández-Gress; Ram Akella; Ivan Perez 002 (ICCS (3), 2018)

Bayesian Based Approach Learning for Outcome Prediction of Soccer Matches. - Laura Hervert-Escobar; Neil Hernández-Gress; Timothy I. Matis (ICCS (3), 2018)

Predictive Analytics with Factor Variance Association. - Raúl V. Ramírez-Velarde; Laura Hervert-Escobar; Neil Hernández-Gress (ICCS (5), 2019)

Early Anomalous Vehicular Traffic Detection Through Spectral Techniques and Unsupervised Learning Models. - Roberto Carlos Vazquez-Nava; Miguel González-Mendoza 001; Oscar Herrera-Alcántara; Neil Hernández-Gress (MICAI, 2019)

Risk Profiles of Financial Service Portfolio for Women Segment Using Machine Learning Algorithms. - Jessica Ivonne Lozano-Medina; Laura Hervert-Escobar; Neil Hernández-Gress (ICCS (7), 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)

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 (MICAI (1), 2021)

Metaheuristics in the Humanitarian Supply Chain. - Francisca Santana Robles; Eva Selene Hernández-Gress; Neil Hernández-Gress; Rafael Granillo-Macías (Algorithms, 2021)

Research Professors' Self-Assessment of Competencies. - Gabriela Torres Delgado; Neil Hernández-Gress (Future Internet, 2021)

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)

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 (ICCS (5), 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 001; Ariel Lucien García-Gamboa; Neil Hernández-Gress (Computación y Sistemas (CyS), 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, 2023)

Evaluating Teacher's Classroom Performance. - Raúl V. Ramírez-Velarde; Laura Hervert-Escobar; Neil Hernández-Gress (ICCS (7), 2024)

Analyzing Grade Inflation in Engineering Education. - Raúl V. Ramírez-Velarde; Laura Hervert-Escobar; Neil Hernández-Gress (ICCS (7), 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 (MICAI (1), 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 001 (MICAI (1), 2024)

Machine Learning Training Optimization using the Barycentric Correction Procedure. - Sofía Ramos-Pulido; Neil Hernández-Gress; Héctor Gibrán Ceballos-Cancino (CoRR, 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)

Predicting University Student Dropout with Extracurricular Activities Participation Using Machine Learning Models: A Case Study at Tecnológico de Monterrey. - Francisco Mestizo; Alberto Orozco; Belén González; Eunice Santos; Neil Hernández-Gress (Res. Comput. Sci., 2024)

Implementation of Quantum Machine Learning on Educational Data. - Sofía Ramos-Pulido; Neil Hernández-Gress; Glen S. Uehara; Andreas Spanias; Héctor Gibrán Ceballos-Cancino (ICAART (3), 2025)

Modelling Extreme Uncertainty: Queues with Pareto Inter-arrival Times and Pareto Service Times. - Raúl V. Ramírez-Velarde; Cristóbal Pareja-Flores; Neil Hernández-Gress; Laura Hervert-Escobar (ICCS (Workshops 6), 2025)