C-Means Clustering Applied to Speech Discrimination. - Juan Manuel Górriz; Javier Ramírez 001; Ignacio Turias; Carlos García Puntonet; Jesús González 001; Elmar Wolfgang Lang (International Conference on Computational Science (1), 2006)

An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test. - Oscar Pernía; Juan Manuel Górriz; Javier Ramírez 001; Carlos García Puntonet; Ignacio Turias (IWANN, 2007)

Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function. - Oscar Pernía; Juan Manuel Górriz; Javier Ramírez 001; Carlos García Puntonet; Ignacio Turias (IWINAC (2), 2007)

An Efficient VAD Based on a Generalized Gaussian PDF. - Oscar Pernía; Juan Manuel Górriz; Javier Ramírez 001; Carlos García Puntonet; Ignacio Turias (NOLISP, 2007)

Improved likelihood ratio test based voice activity detector applied to speech recognition. - J. M. Górriz; Javier Ramírez 001; Elmar Wolfgang Lang; Carlos García Puntonet; Ignacio Turias (Speech Commun., 2010)

Prediction of Peak Concentrations of PM10 in the Area of Campo de Gibraltar (Spain) Using Classification Models. - Eva Muñoz García; M. Luz Martín Rodríguez; María Jesús Jiménez-Come; Francisco Trujillo Espinosa; Ignacio Turias Domínguez (SOCO, 2011)

Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques. - María Jesús Jiménez-Come; Eva Muñoz; Rosa García; Victoria Matres; M. Luz Martín; Francisco Trujillo; Ignacio J. Turias (SOCO, 2011)

Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques. - María Jesús Jiménez-Come; Eva Muñoz; Rosa García; Victoria Matres; M. Luz Martín; Francisco Trujillo; Ignacio J. Turias (J. Appl. Log., 2012)

A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. - Daniel Urda; Rafael Marcos Luque; María Jesús Jiménez-Come; Ignacio Turias Domínguez; Leonardo Franco; José Manuel Jerez (IWANN (1), 2013)

A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar. - José Antonio Moscoso López; Juan J. Ruiz-Aguilar; Ignacio J. Turias; María Mar Cerbán; María Jesús Jiménez-Come (DepCoS-RELCOMEX, 2014)

Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume. - Juan J. Ruiz-Aguilar; Ignacio J. Turias; María Jesús Jiménez-Come; María Mar Cerbán (HAIS, 2014)

Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. - José Luis Subirats; Héctor Mesa; Francisco Ortega-Zamorano; Gustavo Juárez; José M. Jerez; Ignacio J. Turias; Leonardo Franco (IWANN (1), 2017)

Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure. - Juan Jesús Ruiz-Aguilar; José Antonio Moscoso López; Ignacio J. Turias; Francisco Javier Gonzalez-Enrique (SOCO-CISIS-ICEUTE, 2017)

SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain). - José Antonio Moscoso López; Ignacio J. Turias; Juan Jesús Ruiz-Aguilar; Francisco Javier Gonzalez-Enrique (SOCO-CISIS-ICEUTE, 2018)

Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. - Daniel Urda; José M. Jerez; Ignacio J. Turias (SoMeT, 2018)

Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks. - José Antonio Moscoso López; Juan Jesús Ruiz-Aguilar; Javier González-Enrique; Daniel Urda; Héctor Mesa; Ignacio J. Turias (HAIS, 2019)

A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel. - Héctor Mesa; Daniel Urda; Juan J. Ruiz-Aguilar; José Antonio Moscoso López; Juan Almagro; Patricia Acosta; Ignacio J. Turias (HAIS, 2019)

A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations. - Javier González-Enrique; Juan Jesús Ruiz-Aguilar; José Antonio Moscoso López; Steffanie Van Roode; Daniel Urda; Ignacio J. Turias (IWANN (1), 2019)

Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar. - José Antonio Moscoso López; Juan Jesús Ruiz-Aguilar; Daniel Urda; Javier González-Enrique; Ignacio José Turias (IWANN (1), 2019)

A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume. - Daniel Urda Muñoz; Juan Jesús Ruiz-Aguilar; Javier González-Enrique; Ignacio Turias Domínguez (IWANN (1), 2019)

Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. - Daniel Urda; Francisco J. Veredas 001; Ignacio Turias; Leonardo Franco (IWBBIO (2), 2019)

A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain). - Steffanie Van Roode; Juan Jesús Ruiz-Aguilar; Francisco Javier Gonzalez-Enrique; Ignacio J. Turias (SOCO, 2019)

Bootstrapped operating efficiency in container ports: a case study in Spain and Portugal. - Antonio Gil Ropero; Ignacio Turias Domínguez; Maria del Mar Cerbán Jiménez (Ind. Manag. Data Syst., 2019)

A two-stage forecasting approach for short-term intermodal freight prediction. - José Antonio Moscoso López; Ignacio J. Turias; María Jesús Jiménez-Come; Juan Jesús Ruiz-Aguilar; María del Mar Cerbán (Int. Trans. Oper. Res., 2019)

Efficient goods inspection demand at ports: a comparative forecasting approach. - Juan Jesús Ruiz-Aguilar; Ignacio J. Turias; José Antonio Moscoso López; María Jesús Jiménez-Come; María del Mar Cerbán (Int. Trans. Oper. Res., 2019)

Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance. - Damián Nimo 001; Bernabé Dorronsoro; Ignacio J. Turias; Daniel Urda (OLA, 2020)

Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach. - Juan Jesús Ruiz-Aguilar; Daniel Urda; José Antonio Moscoso López; Javier González-Enrique; Ignacio J. Turias (OLA, 2020)

Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods. - José Antonio Moscoso López; Daniel Urda; Javier González-Enrique; Juan Jesús Ruiz-Aguilar; Ignacio J. Turias (SOCO, 2020)

A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models. - Juan Jesús Ruiz-Aguilar; Daniel Urda; José Antonio Moscoso López; Javier González-Enrique; Ignacio J. Turias (Neurocomputing, 2020)

A machine learning-based forecasting system of perishable cargo flow in maritime transport. - José Antonio Moscoso López; Daniel Urda; Juan Jesús Ruiz-Aguilar; Javier González-Enrique; Ignacio J. Turias (Neurocomputing, 2021)

A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction. - Juan Jesús Ruiz-Aguilar; Ignacio Turias; Javier González-Enrique; Daniel Urda; David A. Elizondo (Neural Comput. Appl., 2021)

Deep neural networks architecture driven by problem-specific information. - Daniel Urda; Francisco J. Veredas 001; Javier González-Enrique; Juan J. Ruiz-Aguilar; José M. Jerez; Ignacio J. Turias (Neural Comput. Appl., 2021)

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). - Javier González-Enrique; Juan Jesús Ruiz-Aguilar; José Antonio Moscoso López; Daniel Urda; Lipika Deka; Ignacio J. Turias (Sensors, 2021)

A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation. - Damián Nimo 001; Javier González-Enrique; David Perez; Juan Almagro; Daniel Urda; Ignacio J. Turias (SOCO, 2022)

Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain). - Javier González-Enrique; Juan Jesús Ruiz-Aguilar; Eduardo Madrid Navarro; Rosa Martínez Álvarez-Castellanos; Ivan Felis Enguix; José M. Jerez; Ignacio J. Turias (SOCO, 2022)

A SO2 Pollution Concentrations Prediction Approach Using Autoencoders. - María Inmaculada Rodríguez-García; Javier González-Enrique; Juan Jesús Ruiz-Aguilar; Ignacio J. Turias (SOCO, 2022)

Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators. - María Inmaculada Rodríguez-García; Nawel Kouadria; Arantxa M. Ortega León; Javier González-Enrique; Ignacio J. Turias (SOCO, 2022)

A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data. - Arantxa M. Ortega León; Roa'a Khaled; María Inmaculada Rodríguez-García; Daniel Urda; Ignacio J. Turias (IWBBIO (1), 2023)

Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier. - María Gema Carrasco-García; María Inmaculada Rodríguez-García; Javier González-Enrique; Paloma Rocío Cubillas-Fernández; Juan Jesús Ruiz-Aguilar; Ignacio José Turias Domínguez (SOCO (1), 2023)

Hourly pollutants forecasting using a deep learning approach to obtain the AQI. - José Antonio Moscoso López; Javier González-Enrique; Daniel Urda; Juan Jesús Ruiz-Aguilar; Ignacio J. Turias (Log. J. IGPL, 2023)

Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review. - Arantxa M. Ortega León; Daniel Urda; Ignacio J. Turias; Simón Pedro Lubián-López; Isabel Benavente-Fernández (Frontiers Artif. Intell., 2025)