Ignacio Turias

Orcid: 0000-0003-4627-0252

Affiliations:
  • University of Cadiz, Algeciras, Spain


According to our database1, Ignacio Turias authored at least 40 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Hourly pollutants forecasting using a deep learning approach to obtain the AQI.
Log. J. IGPL, July, 2023

Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

2022
Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

A SO<sub>2</sub> Pollution Concentrations Prediction Approach Using Autoencoders.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain).
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

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).
Sensors, 2021

Deep neural networks architecture driven by problem-specific information.
Neural Comput. Appl., 2021

A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction.
Neural Comput. Appl., 2021

A machine learning-based forecasting system of perishable cargo flow in maritime transport.
Neurocomputing, 2021

2020
A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models.
Neurocomputing, 2020

Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach.
Proceedings of the Optimization and Learning - Third International Conference, 2020

Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance.
Proceedings of the Optimization and Learning - Third International Conference, 2020

2019
Efficient goods inspection demand at ports: a comparative forecasting approach.
Int. Trans. Oper. Res., 2019

A two-stage forecasting approach for short-term intermodal freight prediction.
Int. Trans. Oper. Res., 2019

Bootstrapped operating efficiency in container ports: a case study in Spain and Portugal.
Ind. Manag. Data Syst., 2019

A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain).
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Addition of Pathway-Based Information to Improve Predictions in Transcriptomics.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume.
Proceedings of the Advances in Computational Intelligence, 2019

Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar.
Proceedings of the Advances in Computational Intelligence, 2019

A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations.
Proceedings of the Advances in Computational Intelligence, 2019

A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain).
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

2017
Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme.
Proceedings of the Advances in Computational Intelligence, 2017

2014
Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar.
Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30, 2014

2013
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel.
Proceedings of the Advances in Computational Intelligence, 2013

2012
Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques.
J. Appl. Log., 2012

2011
Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

Prediction of Peak Concentrations of PM10 in the Area of Campo de Gibraltar (Spain) Using Classification Models.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

2010
Improved likelihood ratio test based voice activity detector applied to speech recognition.
Speech Commun., 2010

2007
An Efficient VAD Based on a Generalized Gaussian PDF.
Proceedings of the Advances in Nonlinear Speech Processing, 2007

Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test.
Proceedings of the Computational and Ambient Intelligence, 2007

2006
C-Means Clustering Applied to Speech Discrimination.
Proceedings of the Computational Science, 2006


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