Ignacio J. Turias

30 papers C 1Misc 3Journal 11Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An innovative method for assessing the relationship between longitudinal brain volume measurements and neurodevelopmental outcomes in preterm infants. Comput. Biol. Medicine Arantxa M. Ortega León, Daniel Urda, Ignacio J. Turias, Simón Pedro Lubián-López, Isabel Benavente-Fernández, Qingyu Zhao, Bahram Jafrasteh
2025	J	`jnl`	Chlorophyll-α forecasting using LSTM, bidirectional LSTM and GRU networks in Log. J. IGPL Javier González-Enrique, María Inmaculada Rodríguez-García, Juan Jesús Ruiz-Aguilar, María Gema Carrasco-García, Ivan Felis Enguix, Ignacio J. Turias
2025	J	`jnl`	Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review. Frontiers Artif. Intell. Arantxa M. Ortega León, Daniel Urda, Ignacio J. Turias, Simón Pedro Lubián-López, Isabel Benavente-Fernández
2023	—	`conf`	A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data. IWBBIO (1) Arantxa M. Ortega León, Roa'a Khaled, María Inmaculada Rodríguez-García, Daniel Urda, Ignacio J. Turias
2023	J	`jnl`	Hourly pollutants forecasting using a deep learning approach to obtain the AQI. Log. J. IGPL José Antonio Moscoso López, Javier González-Enrique, Daniel Urda, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
2022	—	`conf`	A SO SOCO María Inmaculada Rodríguez-García, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
2022	—	`conf`	A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation. SOCO Damián Nimo, Javier González-Enrique, David Perez, Juan Almagro, Daniel Urda, Ignacio J. Turias
2022	—	`conf`	Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain). SOCO Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Eduardo Madrid Navarro, Rosa Martínez Álvarez-Castellanos, Ivan Felis Enguix, José M. Jerez, Ignacio J. Turias
2022	—	`conf`	Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators. SOCO María Inmaculada Rodríguez-García, Nawel Kouadria, Arantxa M. Ortega León, Javier González-Enrique, Ignacio J. Turias
2021	J	`jnl`	A machine learning-based forecasting system of perishable cargo flow in maritime transport. Neurocomputing José Antonio Moscoso López, Daniel Urda, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Ignacio J. Turias
2021	J	`jnl`	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 Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Daniel Urda, Lipika Deka, Ignacio J. Turias
2021	J	`jnl`	Deep neural networks architecture driven by problem-specific information. Neural Comput. Appl. Daniel Urda, Francisco J. Veredas, Javier González-Enrique, Juan J. Ruiz-Aguilar, José M. Jerez, Ignacio J. Turias
2020	J	`jnl`	A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models. Neurocomputing Juan Jesús Ruiz-Aguilar, Daniel Urda, José Antonio Moscoso López, Javier González-Enrique, Ignacio J. Turias
2020	—	`conf`	Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach. OLA Juan Jesús Ruiz-Aguilar, Daniel Urda, José Antonio Moscoso López, Javier González-Enrique, Ignacio J. Turias
2020	—	`conf`	Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods. SOCO José Antonio Moscoso López, Daniel Urda, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
2020	—	`conf`	Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance. OLA Damián Nimo, Bernabé Dorronsoro, Ignacio J. Turias, Daniel Urda
2019	—	`conf`	A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations. IWANN (1) Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Steffanie Van Roode, Daniel Urda, Ignacio J. Turias
2019	—	`conf`	A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain). SOCO Steffanie Van Roode, Juan Jesús Ruiz-Aguilar, Francisco Javier Gonzalez-Enrique, Ignacio J. Turias
2019	Misc	`conf`	A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel. HAIS Héctor Mesa, Daniel Urda, Juan J. Ruiz-Aguilar, José Antonio Moscoso López, Juan Almagro, Patricia Acosta, Ignacio J. Turias
2019	J	`jnl`	A two-stage forecasting approach for short-term intermodal freight prediction. Int. Trans. Oper. Res. José Antonio Moscoso López, Ignacio J. Turias, María Jesús Jiménez-Come, Juan Jesús Ruiz-Aguilar, María del Mar Cerbán
2019	J	`jnl`	Efficient goods inspection demand at ports: a comparative forecasting approach. Int. Trans. Oper. Res. Juan Jesús Ruiz-Aguilar, Ignacio J. Turias, José Antonio Moscoso López, María Jesús Jiménez-Come, María del Mar Cerbán
2019	Misc	`conf`	Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks. HAIS José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Daniel Urda, Héctor Mesa, Ignacio J. Turias
2018	C	`conf`	Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. SoMeT Daniel Urda, José M. Jerez, Ignacio J. Turias
2018	—	`conf`	SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain). SOCO-CISIS-ICEUTE José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, Francisco Javier Gonzalez-Enrique
2017	—	`conf`	Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure. SOCO-CISIS-ICEUTE Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Ignacio J. Turias, Francisco Javier Gonzalez-Enrique
2017	—	`conf`	Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. IWANN (1) José Luis Subirats, Héctor Mesa, Francisco Ortega-Zamorano, Gustavo Juárez, José M. Jerez, Ignacio J. Turias, Leonardo Franco
2014	—	`conf`	A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar. DepCoS-RELCOMEX José Antonio Moscoso López, Juan J. Ruiz-Aguilar, Ignacio J. Turias, María Mar Cerbán, María Jesús Jiménez-Come
2014	Misc	`conf`	Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume. HAIS Juan J. Ruiz-Aguilar, Ignacio J. Turias, María Jesús Jiménez-Come, María Mar Cerbán
2012	J	`jnl`	Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques. J. Appl. Log. María Jesús Jiménez-Come, Eva Muñoz, Rosa García, Victoria Matres, M. Luz Martín, Francisco Trujillo, Ignacio J. Turias
2011	—	`conf`	Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques. SOCO María Jesús Jiménez-Come, Eva Muñoz, Rosa García, Victoria Matres, M. Luz Martín, Francisco Trujillo, Ignacio J. Turias