María Jesús Jiménez-Come

Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques

Ignacio J. Turias, M. J. Jiménez-Come, María Jesús Jiménez-Come, 2012, J. Appl. Log..

A two-stage forecasting approach for short-term intermodal freight prediction

José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, 2019, Int. Trans. Oper. Res..

Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques

Ignacio J. Turias, M. J. Jiménez-Come, María Jesús Jiménez-Come, 2011, SOCO.

Efficient goods inspection demand at ports: a comparative forecasting approach

José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, 2019, Int. Trans. Oper. Res..

Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume

Juan J. Ruiz-Aguilar, Ignacio J. Turias, M. J. Jiménez-Come, 2014, HAIS.

A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar

Juan J. Ruiz-Aguilar, José Antonio Moscoso López, Ignacio J. Turias, 2014, DepCoS-RELCOMEX.

A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel

Rafael Marcos Luque Baena, Daniel Urda, Leonardo Franco, 2013, IWANN.

Prediction of Peak Concentrations of PM10 in the Area of Campo de Gibraltar (Spain) Using Classification Models

Ignacio Turias Domínguez, María Jesús Jiménez-Come, Francisco Trujillo Espinosa, 2011, SOCO.

A support vector machine‐based ensemble algorithm for pitting corrosion modeling of EN 1.4404 stainless steel in sodium chloride solutions

M. J. Jiménez-Come, María Jesús Jiménez-Come, Victoria Matres, 2018, Materials and Corrosion.