Daniel Urda - RankMe

76 papers B 2C 2Misc 5Journal 30Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An iterative algorithm for determining contact-rate parameters in individual-based malware propagation models. Log. J. IGPL Roberto Casado-Vara, Ángel Martín del Rey, Nuño Basurto, Daniel Urda, Álvaro Herrero
2026	J	`jnl`	Enhancing web traffic attacks identification through ensemble methods and feature selection. Log. J. IGPL Daniel Urda, Branly Martínez, Nuño Basurto, Meelis Kull, Ángel Arroyo, Álvaro Herrero
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`	Analyzing time series to forecast hot rolled coil steel price in Spain by means of neural non-linear models. Log. J. IGPL Roberto Alcalde, Santiago García, Manuel Manzanedo, Nuño Basurto, Carlos Alonso de Armiño, Daniel Urda, Belén Alonso
2025	—	`conf`	Enhanced Video-Based Eye Status Detection in Term Infants. IWANN (1) Nuria Velasco-Pérez, Juan Arnaez, Álvaro Herrero, Nuño Basurto, Daniel Urda
2025	—	`conf`	IIoT-Driven Time Series Imputation for Sustainable Metalworking Fluid Monitoring. HAIS (2) Félix De Miguel, Nuria Velasco, Félix Movilla, Daniel Urda, Carlos Cambra, Álvaro Herrero
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
2025	—	`conf`	Towards Intelligent and Immersive Healthcare: Edge-AI, IoMT, and Digital Twins in the Metaverse. IDEAL (1) Cédric Marco-Detchart, L. E. Curiel-Herrera, Daniel Urda, Jaime Andres Rincon
2025	—	`conf`	Towards Safer Hydrogen Infrastructure: Anomaly Detection in Synthetic Hydrogen Dispensing Data. IWANN (2) Nuria Velasco-Pérez, Félix De Miguel, Carolina Gutiérrez, David García, Luis Miguel Lozano, Daniel Urda, Álvaro Herrero
2024	J	`jnl`	A Clustering Extension of HUEPs for the Analysis of Performance Anomalies in Robots. Cybern. Syst. Nuño Basurto, Carlos Cambra Baseca, Álvaro Herrero, Daniel Urda
2024	—	`conf`	A Computer Vision Approach to Detect Facial Characteristics Related to Encephalopathy in Term Infants. HAIS (1) Nuria Velasco-Pérez, Samuel Lozano-Juárez, Lucía Núñez-Calvo, Nuño Basurto, Juan Arnaez, Daniel Urda
2024	J	`jnl`	Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families. Log. J. IGPL Nuño Basurto, Diego García-Prieto, Héctor Quintián, Daniel Urda, José Luís Calvo-Rolle, Emilio Corchado
2024	J	`jnl`	Enhancing web traffic attacks identification through ensemble methods and feature selection. CoRR Daniel Urda, Branly Martínez, Nuño Basurto, Meelis Kull, Ángel Arroyo, Álvaro Herrero
2024	J	`jnl`	Evaluating the Impact of Different Feature as a Counter Data Aggregation approaches on the Performance of NIDSs and Their Selected Features. Log. J. IGPL Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro
2024	—	`conf`	Human Detection in Images Captured by UAVs in Natural Environments. SOCO (1) Félix De Miguel, David Caubilla, Carlos Cambra, Nuño Basurto, Daniel Urda, Álvaro Herrero
2024	—	`conf`	Neonates Crying Detection Through Feature Extraction and Machine Learning Methods. HAIS (1) Lucía Núñez-Calvo, Nuria Velasco-Pérez, Samuel Lozano-Juárez, Álvaro Herrero, Juan Arnaez, Daniel Urda
2024	J	`jnl`	Soft-Computing Techniques to Address Industrial and Environmental Challenges. Cybern. Syst. Álvaro Herrero, Daniel Urda, Esteban Jove, Mariusz Topolski, Emilio Corchado
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	—	`conf`	Benchmarking Classifiers for DDoS Attack Detection in Industrial IoT Networks. CISIS-ICEUTE Marcos Severt, Roberto Casado-Vara, Ángel Martín del Rey, Nuño Basurto, Daniel Urda, Álvaro Herrero
2023	Misc	`conf`	Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images. HAIS Samuel Lozano-Juárez, Nuria Velasco-Pérez, Ian Roberts, Jerónimo Bernal, Nuño Basurto, Daniel Urda, Álvaro Herrero
2023	—	`conf`	Defect Detection in Batavia Woven Fabrics by Means of Convolutional Neural Networks. SOCO (2) Nuria Velasco-Pérez, Samuel Lozano-Juárez, Beatriz Gil-Arroyo, Juan Marcos Sanz, Nuño Basurto, Daniel Urda, Álvaro Herrero
2023	J	`jnl`	Editorial of the Special Issue Intelligent Solutions for Efficient Logistics and Sustainable Transportation. Appl. Soft Comput. Daniel Urda, Patricia Ruiz, El-Ghazali Talbi, Pascal Bouvry, Jamal Toutouh
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
2023	—	`conf`	Missing Values Imputation for Visualizing the Air Quality Evolution During the COVID-19 Pandemic in Madrid. SOCO (1) Ángel Arroyo, Beatriz Gil-Arroyo, Daniel Urda, Carlos Cambra, Álvaro Herrero
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	J	`jnl`	Advanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learning. Log. J. IGPL Héctor Quintián, Esteban Jove, José Luís Casteleiro-Roca, Daniel Urda, Ángel Arroyo, José Luís Calvo-Rolle, Álvaro Herrero, Emilio Corchado
2022	J	`jnl`	Computational intelligence applied to cybersecurity. Expert Syst. J. Knowl. Eng. Álvaro Herrero, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
2022	—	`conf`	Dimensionality-Reduction Methods for the Analysis of Web Traffic. CISIS-ICEUTE Nuño Basurto, Álvaro Michelena, Daniel Urda, Héctor Quintián, José Luís Calvo-Rolle, Álvaro Herrero
2022	—	`conf`	Evaluating Classifiers' Performance to Detect Attacks in Website Traffic. CISIS-ICEUTE Daniel Urda, Nuño Basurto, Meelis Kull, Álvaro Herrero
2022	J	`jnl`	Improving the Reliability of Network Intrusion Detection Systems Through Dataset Integration. IEEE Trans. Emerg. Top. Comput. Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro
2022	—	`conf`	Non-linear Neural Models to Predict HRC Steel Price in Spain. SOCO Roberto Alcalde, Daniel Urda, Carlos Alonso de Armiño, Santiago García, Manuel Manzanedo, Álvaro Herrero
2022	J	`jnl`	Special issue SOCO 2020: New trends in soft computing and its application in industrial and environmental problems. Neurocomputing Javier Sedano, Daniel Urda, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2021	Misc	`ed.`	13th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2020, Burgos, Spain, September 2020. CISIS Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
2021	—	`ed.`	15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020, Burgos, Spain, 16-18 September 2020. SOCO Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
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`	A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction. Neural Comput. Appl. Juan Jesús Ruiz-Aguilar, Ignacio Turias, Javier González-Enrique, Daniel Urda, David A. Elizondo
2021	—	`conf`	Advanced 3D Visualization of Android Malware Families. CISIS-ICEUTE Nuño Basurto, Héctor Quintián, Daniel Urda, José Luís Calvo-Rolle, Álvaro Herrero, Emilio Corchado
2021	J	`jnl`	Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study. CoRR Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
2021	J	`jnl`	Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. Appl. Soft Comput. Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
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	—	`conf`	Assessing the Impact of Batch-Based Data Aggregation Techniques for Feature Engineering on Machine Learning-Based Network IDSs. CISIS-ICEUTE Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro
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
2021	J	`jnl`	Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration. CoRR Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro
2021	—	`ed.`	The 11th International Conference on EUropean Transnational Educational, ICEUTE 2020, Burgos, Spain, September 16-18, 2020 ICEUTE Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
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	Misc	`conf`	Beta-Hebbian Learning for Visualizing Intrusions in Flows. CISIS Héctor Quintián, Esteban Jove, José Luís Casteleiro-Roca, Daniel Urda, Ángel Arroyo, José Luís Calvo-Rolle, Álvaro Herrero, Emilio Corchado
2020	J	`jnl`	Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins. Neural Comput. Appl. Francisco J. Veredas, Daniel Urda, José Luis Subirats, Francisco R. Cantón, Juan Carlos Aledo
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
2020	—	`ed.`	Optimization and Learning - Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings OLA Bernabé Dorronsoro, Patricia Ruiz, Juan Carlos de la Torre, Daniel Urda, El-Ghazali Talbi
2020	—	`conf`	Trends and Patterns of International Student Mobility: The Case of Bachelor's Degrees in Computer Science at the University of Burgos. ICEUTE Ángel Arroyo, Secil Bayraktar, Carlos Cambra, Daniel Urda, Álvaro Herrero
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	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	—	`conf`	Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. IWBBIO (2) Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco
2019	B	`conf`	MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. IJCNN Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas
2019	—	`conf`	Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar. IWANN (1) José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Daniel Urda, Javier González-Enrique, Ignacio José Turias
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	J	`jnl`	BLASSO: integration of biological knowledge into a regularized linear model. BMC Syst. Biol. Daniel Urda, Francisco Aragón, Rocío Bautista, Leonardo Franco, Francisco J. Veredas, Manuel Gonzalo Claros, José Manuel Jerez
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`	Forward Noise Adjustment Scheme for Data Augmentation. SSCI Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco
2017	—	`conf`	Classification of high dimensional data using LASSO ensembles. SSCI Daniel Urda, Leonardo Franco, José M. Jerez
2017	—	`conf`	Deep Learning to Analyze RNA-Seq Gene Expression Data. IWANN (2) Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, José M. Jerez
2017	—	`conf`	L_1 L 1 -regularization Model Enriched with Biological Knowledge. IWBBIO (1) Daniel Urda, Francisco Aragón, Leonardo Franco, Francisco J. Veredas, José M. Jerez
2017	B	`conf`	Machine learning models to search relevant genetic signatures in clinical context. IJCNN Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño
2016	J	`jnl`	Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. IEEE Trans. Neural Networks Learn. Syst. Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco
2014	J	`jnl`	Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. J. Biomed. Informatics Rafael Marcos Luque Baena, Daniel Urda, M. Gonzalo Claros, Leonardo Franco, José M. Jerez
2014	—	`conf`	Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. CIBB Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
2013	—	`conf`	A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. IWANN (1) Daniel Urda, Rafael Marcos Luque, María Jesús Jiménez-Come, Ignacio Turias Domínguez, Leonardo Franco, José Manuel Jerez
2013	J	`jnl`	Addressing critical issues in the development of an Oncology Information System. Int. J. Medical Informatics Daniel Urda, Nuria Ribelles, José Luis Subirats, Leonardo Franco, Emilio Alba, José Manuel Jerez
2013	—	`conf`	Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. IWBBIO Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez
2013	—	`conf`	Committee C-Mantec: A Probabilistic Constructive Neural Network. IWANN (1) José Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, José Manuel Jerez, Leonardo Franco
2013	C	`conf`	Storing Location-Aware Data in Mobile Distributed Systems. ISPDC Daniel Urda, Ciprian Dobre, Florin Pop
2012	J	`jnl`	WIMP: Web server tool for missing data imputation. Comput. Methods Programs Biomed. Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez
2011	—	`conf`	Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. IWANN (2) Yasel Couce, Leonardo Franco, Daniel Urda, José Luis Subirats, José M. Jerez
2010	—	`conf`	Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles. IEA/AIE (1) Daniel Urda, José Luis Subirats, Leonardo Franco, José Manuel Jerez