Daniel Urda
Orcid: 0000-0003-2662-798X
According to our database1,
Daniel Urda
authored at least 60 papers
between 2010 and 2024.
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Bibliography
2024
Cybern. Syst., August, 2024
Cybern. Syst., August, 2024
Evaluating the Impact of Different Feature as a Counter Data Aggregation approaches on the Performance of NIDSs and Their Selected Features.
Log. J. IGPL, 2024
Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families.
Log. J. IGPL, 2024
A Computer Vision Approach to Detect Facial Characteristics Related to Encephalopathy in Term Infants.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024
2023
Log. J. IGPL, July, 2023
Editorial of the Special Issue Intelligent Solutions for Efficient Logistics and Sustainable Transportation.
Appl. Soft Comput., January, 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Missing Values Imputation for Visualizing the Air Quality Evolution During the COVID-19 Pandemic in Madrid.
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
Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023
2022
Improving the Reliability of Network Intrusion Detection Systems Through Dataset Integration.
IEEE Trans. Emerg. Top. Comput., 2022
Special issue SOCO 2020: New trends in soft computing and its application in industrial and environmental problems.
Neurocomputing, 2022
Log. J. IGPL, 2022
Expert Syst. J. Knowl. Eng., 2022
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
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 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
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
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study.
Appl. Soft Comput., 2021
Assessing the Impact of Batch-Based Data Aggregation Techniques for Feature Engineering on Machine Learning-Based Network IDSs.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
2020
Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins.
Neural Comput. Appl., 2020
A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models.
Neurocomputing, 2020
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
Trends and Patterns of International Student Mobility: The Case of Bachelor's Degrees in Computer Science at the University of Burgos.
Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020
Proceedings of the 13th International Conference on Computational Intelligence in Security for Information Systems, 2020
2019
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
MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins.
Proceedings of the International Joint Conference on Neural Networks, 2019
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
BMC Syst. Biol., 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 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
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Bioinformatics and Biomedical Engineering, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers.
IEEE Trans. Neural Networks Learn. Syst., 2016
2014
Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords.
J. Biomed. Informatics, 2014
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014
2013
Int. J. Medical Informatics, 2013
Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel.
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013
2012
Comput. Methods Programs Biomed., 2012
2011
Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems.
Proceedings of the Advances in Computational Intelligence, 2011
2010
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles.
Proceedings of the Trends in Applied Intelligent Systems, 2010