Daniel Urda

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 49

Top Topics

Machine Learning

Genetic Algorithm

Data Aggregation

Top Venues

Publications

Nuño Basurto, Diego García-Prieto, Héctor Quintián, Daniel Urda, José Luís Calvo-Rolle, Emilio Corchado
Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families. Log. J. IGPL 32 (2) (2024)
Nuño Basurto, Carlos Cambra Baseca, Álvaro Herrero, Daniel Urda
A Clustering Extension of HUEPs for the Analysis of Performance Anomalies in Robots. Cybern. Syst. 55 (6) (2024)
Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro
Evaluating the Impact of Different Feature as a Counter Data Aggregation approaches on the Performance of NIDSs and Their Selected Features. Log. J. IGPL 32 (2) (2024)
Álvaro Herrero, Daniel Urda, Esteban Jove, Mariusz Topolski, Emilio Corchado
Soft-Computing Techniques to Address Industrial and Environmental Challenges. Cybern. Syst. 55 (6) (2024)
Ángel Arroyo, Beatriz Gil-Arroyo, Daniel Urda, Carlos Cambra, Álvaro Herrero
Missing Values Imputation for Visualizing the Air Quality Evolution During the COVID-19 Pandemic in Madrid. SOCO (1) (2023)
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)
Daniel Urda, Patricia Ruiz, El-Ghazali Talbi, Pascal Bouvry, Jamal Toutouh
Editorial of the Special Issue Intelligent Solutions for Efficient Logistics and Sustainable Transportation. Appl. Soft Comput. 133 (2023)
Samuel Lozano-Juárez, Nuria Velasco-Pérez, Ian Roberts, Jerónimo Bernal, Nuño Basurto, Daniel Urda, Álvaro Herrero
Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images. HAIS (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)
Marcos Severt, Roberto Casado-Vara, Ángel Martín del Rey, Nuño Basurto, Daniel Urda, Álvaro Herrero
Benchmarking Classifiers for DDoS Attack Detection in Industrial IoT Networks. CISIS-ICEUTE (2023)
Nuria Velasco-Pérez, Samuel Lozano-Juárez, Beatriz Gil-Arroyo, Juan Marcos Sanz, Nuño Basurto, Daniel Urda, Álvaro Herrero
Defect Detection in Batavia Woven Fabrics by Means of Convolutional Neural Networks. SOCO (2) (2023)
Javier Sedano, Daniel Urda, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
Special issue SOCO 2020: New trends in soft computing and its application in industrial and environmental problems. Neurocomputing 504 (2022)
Nuño Basurto, Álvaro Michelena, Daniel Urda, Héctor Quintián, José Luís Calvo-Rolle, Álvaro Herrero
Dimensionality-Reduction Methods for the Analysis of Web Traffic. CISIS-ICEUTE (2022)
Roberto Alcalde, Daniel Urda, Carlos Alonso de Armiño, Santiago García, Manuel Manzanedo, Álvaro Herrero
Non-linear Neural Models to Predict HRC Steel Price in Spain. SOCO (2022)
Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro
Improving the Reliability of Network Intrusion Detection Systems Through Dataset Integration. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
Daniel Urda, Nuño Basurto, Meelis Kull, Álvaro Herrero
Evaluating Classifiers' Performance to Detect Attacks in Website Traffic. CISIS-ICEUTE (2022)
Héctor Quintián, Esteban Jove, José Luís Casteleiro-Roca, Daniel Urda, Ángel Arroyo, José Luís Calvo-Rolle, Álvaro Herrero, Emilio Corchado
Advanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learning. Log. J. IGPL 30 (6) (2022)
Álvaro Herrero, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
Computational intelligence applied to cybersecurity. Expert Syst. J. Knowl. Eng. 39 (9) (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)
Nuño Basurto, Héctor Quintián, Daniel Urda, José Luís Calvo-Rolle, Álvaro Herrero, Emilio Corchado
Advanced 3D Visualization of Android Malware Families. CISIS-ICEUTE (2021)
Juan Jesús Ruiz-Aguilar, Ignacio Turias, Javier González-Enrique, Daniel Urda, David A. Elizondo
A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction. Neural Comput. Appl. 33 (7) (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)
Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study. CoRR (2021)
Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. Appl. Soft Comput. 101 (2021)
Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration. CoRR (2021)
Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro
Assessing the Impact of Batch-Based Data Aggregation Techniques for Feature Engineering on Machine Learning-Based Network IDSs. CISIS-ICEUTE (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)
Héctor Quintián, Esteban Jove, José Luís Casteleiro-Roca, Daniel Urda, Ángel Arroyo, José Luís Calvo-Rolle, Álvaro Herrero, Emilio Corchado
Beta-Hebbian Learning for Visualizing Intrusions in Flows. CISIS (2020)
Francisco J. Veredas, Daniel Urda, José Luis Subirats, Francisco R. Cantón, Juan Carlos Aledo
Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins. Neural Comput. Appl. 32 (2) (2020)
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)
Ángel Arroyo, Secil Bayraktar, Carlos Cambra, Daniel Urda, Álvaro Herrero
Trends and Patterns of International Student Mobility: The Case of Bachelor's Degrees in Computer Science at the University of Burgos. ICEUTE (2020)
José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Daniel Urda, Javier González-Enrique, Ignacio José Turias
Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar. IWANN (1) (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)
Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco
Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. IWBBIO (2) (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)
Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas
MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. IJCNN (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)
Daniel Urda, Francisco Aragón, Rocío Bautista, Leonardo Franco, Francisco J. Veredas, Manuel Gonzalo Claros, José Manuel Jerez
BLASSO: integration of biological knowledge into a regularized linear model. BMC Syst. Biol. 12 (5) (2018)
Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco
Forward Noise Adjustment Scheme for Data Augmentation. SSCI (2018)
Daniel Urda, José M. Jerez, Ignacio J. Turias
Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. SoMeT (2018)
Daniel Urda, Francisco Aragón, Leonardo Franco, Francisco J. Veredas, José M. Jerez
L_1 L 1 -regularization Model Enriched with Biological Knowledge. IWBBIO (1) (2017)
Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño
Machine learning models to search relevant genetic signatures in clinical context. IJCNN (2017)
Daniel Urda, Leonardo Franco, José M. Jerez
Classification of high dimensional data using LASSO ensembles. SSCI (2017)
Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, José M. Jerez
Deep Learning to Analyze RNA-Seq Gene Expression Data. IWANN (2) (2017)
Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. IEEE Trans. Neural Networks Learn. Syst. 27 (9) (2016)
Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. CIBB (2014)
Rafael Marcos Luque Baena, Daniel Urda, M. Gonzalo Claros, Leonardo Franco, José M. Jerez
Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. J. Biomed. Informatics 49 (2014)
Daniel Urda, Rafael Marcos Luque, María Jesús Jiménez-Come, Ignacio Turias Domínguez, Leonardo Franco, José Manuel Jerez
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. IWANN (1) (2013)
Daniel Urda, Nuria Ribelles, José Luis Subirats, Leonardo Franco, Emilio Alba, José Manuel Jerez
Addressing critical issues in the development of an Oncology Information System. Int. J. Medical Informatics 82 (5) (2013)
Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez
Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. IWBBIO (2013)
Daniel Urda, Ciprian Dobre, Florin Pop
Storing Location-Aware Data in Mobile Distributed Systems. ISPDC (2013)
José Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, José Manuel Jerez, Leonardo Franco
Committee C-Mantec: A Probabilistic Constructive Neural Network. IWANN (1) (2013)
Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez
WIMP: Web server tool for missing data imputation. Comput. Methods Programs Biomed. 108 (3) (2012)
Yasel Couce, Leonardo Franco, Daniel Urda, José Luis Subirats, José M. Jerez
Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. IWANN (2) (2011)
Daniel Urda, José Luis Subirats, Leonardo Franco, José Manuel Jerez
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles. IEA/AIE (1) (2010)