Methods of selection and identification of RFID tags. - Laura Hervert-Escobar; Neale R. Smith; José Ramón Rodríguez-Cruz; Leopoldo Eduardo Cárdenas-Barrón (Int. J. Mach. Learn. Cybern., 2015)

Integrated Approach to Assignment, Scheduling and Routing Problems in a Sales Territory Business Plan. - Laura Hervert-Escobar; Francisco Lopez; Oscar A. Esquivel-Flores (ICCS, 2016)

Optimal Pricing Model: Case of Study for Convenience Stores. - Laura Hervert-Escobar; Jesús Fabián López Pérez; Oscar A. Esquivel-Flores (MICAI (2), 2016)

Tramp Ship Scheduling Problem with Berth Allocation Considerations and Time-Dependent Constraints. - Francisco López-Ramos; Armando Guarnaschelli; José-Fernando Camacho-Vallejo; Laura Hervert-Escobar; Rosa G. González-Ramírez (MICAI (1), 2016)

Optimal pricing model based on reduction dimension: A case of study for convenience stores. - Laura Hervert-Escobar; Oscar A. Esquivel-Flores; Raúl V. Ramírez-Velarde (ICCS, 2017)

Iterative Projection approach for solving the Territorial Business Sales optimization problem. - Laura Hervert-Escobar; Vassil Alexandrov 001 (ITQM, 2017)

Optimal location of RFID reader antennas in a three dimensional space. - Laura Hervert-Escobar; Neale R. Smith; Timothy I. Matis; César Vargas Rosales (Ann. Oper. Res., 2017)

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

Territorial design optimization for business sales plan. - Laura Hervert-Escobar; Vassil Alexandrov 001 (J. Comput. Appl. Math., 2018)

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

Production planning and scheduling optimization model: a case of study for a glass container company. - Laura Hervert-Escobar; Jesús Fabián López Pérez (Ann. Oper. Res., 2020)

Predicting Soccer Results Through Sentiment Analysis: A Graph Theory Approach. - Clarissa Miranda-Peña; Hector G. Ceballos; Laura Hervert-Escobar; Miguel González-Mendoza 001 (ICCS (6), 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 (MICAI (1), 2021)

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)

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)

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)