Ignacio J. Turias

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 23

Top Topics

Machine Learning

Top Venues

SOCO-CISIS-ICEUTE

Int. Trans. Oper. Res.

Publications

Arantxa M. Ortega León, Roa'a Khaled, María Inmaculada Rodríguez-García, Daniel Urda, Ignacio J. Turias
A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data. IWBBIO (1) (2023)
José Antonio Moscoso López, Javier González-Enrique, Daniel Urda, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
Hourly pollutants forecasting using a deep learning approach to obtain the AQI. Log. J. IGPL 31 (4) (2023)
Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Eduardo Madrid Navarro, Rosa Martínez Álvarez-Castellanos, Ivan Felis Enguix, José M. Jerez, Ignacio J. Turias
Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain). SOCO (2022)
M. I. Rodríguez-García, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
Pollution Concentrations Prediction Approach Using Autoencoders. SOCO (2022)
María Inmaculada Rodríguez-García, Nawel Kouadria, Arantxa M. Ortega León, Javier González-Enrique, Ignacio J. Turias
Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators. SOCO (2022)
Damián Nimo, Javier González-Enrique, David Perez, Juan Almagro, Daniel Urda, Ignacio J. Turias
A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation. SOCO (2022)
Daniel Urda, Francisco J. Veredas, Javier González-Enrique, Juan J. Ruiz-Aguilar, José M. Jerez, Ignacio J. Turias
Deep neural networks architecture driven by problem-specific information. Neural Comput. Appl. 33 (15) (2021)
Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Daniel Urda, Lipika Deka, Ignacio J. Turias
Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain). Sensors 21 (5) (2021)
José Antonio Moscoso López, Daniel Urda, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Ignacio J. Turias
A machine learning-based forecasting system of perishable cargo flow in maritime transport. Neurocomputing 452 (2021)
Damián Nimo, Bernabé Dorronsoro, Ignacio J. Turias, Daniel Urda
Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance. OLA (2020)
José Antonio Moscoso López, Daniel Urda, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods. SOCO (2020)
Juan Jesús Ruiz-Aguilar, Daniel Urda, José Antonio Moscoso López, Javier González-Enrique, Ignacio J. Turias
Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach. OLA (2020)
Juan Jesús Ruiz-Aguilar, Daniel Urda, José Antonio Moscoso López, Javier González-Enrique, Ignacio J. Turias
A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models. Neurocomputing 391 (2020)
Steffanie Van Roode, Juan Jesús Ruiz-Aguilar, Francisco Javier Gonzalez-Enrique, Ignacio J. Turias
A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain). SOCO (2019)
José Antonio Moscoso López, Ignacio J. Turias, María Jesús Jiménez-Come, Juan Jesús Ruiz-Aguilar, María del Mar Cerbán
A two-stage forecasting approach for short-term intermodal freight prediction. Int. Trans. Oper. Res. 26 (2) (2019)
Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Steffanie Van Roode, Daniel Urda, Ignacio J. Turias
A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations. IWANN (1) (2019)
Héctor Mesa, Daniel Urda, Juan J. Ruiz-Aguilar, José Antonio Moscoso López, Juan Almagro, Patricia Acosta, Ignacio J. Turias
A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel. HAIS (2019)
José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Daniel Urda, Héctor Mesa, Ignacio J. Turias
Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks. HAIS (2019)
Juan Jesús Ruiz-Aguilar, Ignacio J. Turias, José Antonio Moscoso López, María Jesús Jiménez-Come, María del Mar Cerbán
Efficient goods inspection demand at ports: a comparative forecasting approach. Int. Trans. Oper. Res. 26 (5) (2019)
Daniel Urda, José M. Jerez, Ignacio J. Turias
Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. SoMeT (2018)
José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, Francisco Javier Gonzalez-Enrique
SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain). SOCO-CISIS-ICEUTE (2018)
Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Ignacio J. Turias, Francisco Javier Gonzalez-Enrique
Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure. SOCO-CISIS-ICEUTE (2017)
José Luis Subirats, Héctor Mesa, Francisco Ortega-Zamorano, Gustavo Juárez, José M. Jerez, Ignacio J. Turias, Leonardo Franco
Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. IWANN (1) (2017)
José Antonio Moscoso López, Juan J. Ruiz-Aguilar, Ignacio J. Turias, María Mar Cerbán, María Jesús Jiménez-Come
A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar. DepCoS-RELCOMEX (2014)
Juan J. Ruiz-Aguilar, Ignacio J. Turias, María Jesús Jiménez-Come, María Mar Cerbán
Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume. HAIS (2014)
María Jesús Jiménez-Come, Eva Muñoz, Rosa García, Victoria Matres, M. Luz Martín, Francisco Trujillo, Ignacio J. Turias
Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques. J. Appl. Log. 10 (4) (2012)
María Jesús Jiménez-Come, Eva Muñoz, Rosa García, Victoria Matres, M. Luz Martín, Francisco Trujillo, Ignacio J. Turias
Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques. SOCO (2011)