Linear representations of convolutional codes over rings. - Miguel V. Carriegos; Noemí DeCastro-García; Ángel Luis Muñoz Castañeda (CoRR, 2016)

Empirical analysis of cyber-attacks to an indoor real time localization system for autonomous robots. - Ángel Manuel Guerrero-Higueras; Noemí DeCastro-García; Francisco Javier Rodríguez-Lera; Vicente Matellán (Comput. Secur., 2017)

Visualization Index for Educational Resources by Learning Analytics. - Noemí DeCastro-García; Ángel Luis Muñoz Castañeda (LASI-SPAIN, 2018)

Predictive models of academic success: a case study with version control systems. - Ángel Manuel Guerrero-Higueras; Noemí DeCastro-García; Vicente Matellán; Miguel Á. Conde (TEEM, 2018)

Detection of Cyber-attacks to indoor real time localization systems for autonomous robots. - Ángel Manuel Guerrero-Higueras; Noemí DeCastro-García; Vicente Matellán (Robotics Auton. Syst., 2018)

Predicting academic success through students' interaction with Version Control Systems. - Ángel Manuel Guerrero-Higueras; Noemí DeCastro-García; Francisco Javier Rodríguez-Lera; Vicente Matellán; Miguel Ángel Conde (Open Comput. Sci., 2019)

Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm. - Noemí DeCastro-García; Ángel Luis Muñoz Castañeda; David Escudero García; Miguel V. Carriegos (Complex., 2019)

Partitions, diophantine equations, and control systems. - Miguel V. Carriegos; Noemí DeCastro-García; Ángel Luis Muñoz Castañeda (Discret. Appl. Math., 2019)

A Data Quality Assessment Model and Its Application to Cybersecurity Data Sources. - Noemí DeCastro-García; Enrique Pinto (CISIS, 2020)

RADSSo: An Automated Tool for the multi-CASH Machine Learning Problem. - Noemí DeCastro-García; Ángel Luis Muñoz Castañeda; Mario Fernández-Rodríguez (HAIS, 2020)

Machine learning for automatic assignment of the severity of cybersecurity events. - Noemí DeCastro-García; Ángel Luis Muñoz Castañeda; Mario Fernández-Rodríguez (Comput. Math. Methods, 2020)

Optimal feature configuration for dynamic malware detection. - David Escudero García; Noemí DeCastro-García (Comput. Secur., 2021)

Measuring the Quality Information of Sources of Cybersecurity by Multi-Criteria Decision Making Techniques. - Noemí DeCastro-García; Enrique Pinto (HAIS, 2022)

Application of Anomaly Detection Models to Malware Detection in the Presence of Concept Drift. - David Escudero García; Noemí DeCastro-García (HAIS, 2023)

Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift. - Miguel V. Carriegos; Noemí DeCastro-García; David Escudero García (Comput. Math. Methods, 2023)

An effectiveness analysis of transfer learning for the concept drift problem in malware detection. - David Escudero García; Noemí DeCastro-García; Ángel Luis Muñoz Castañeda (Expert Syst. Appl., 2023)

Application of Transfer Learning to Online Models in Malware Detection. - David Escudero García; Noemí DeCastro-García (HAIS (1), 2024)

Decoding convolutional codes over finite rings. A linear dynamical systems approach. - Ángel Luis Muñoz Castañeda; Noemí DeCastro-García; Miguel V. Carriegos (CoRR, 2024)

Construction of observable and MDP convolutional codes with good decodable properties for erasure channels by I/S/O representations. - Noemí DeCastro-García; Miguel V. Carriegos; Ángel Luis Muñoz Castañeda (CoRR, 2024)

A mathematical analysis about the geo-temporal characterization of the multi-class maliciousness of an IP address. - Noemí DeCastro-García; David Escudero García; Miguel V. Carriegos (Wirel. Networks, 2024)

Transfer and online learning for IP maliciousness prediction in a concept drift scenario. - David Escudero García; Noemí DeCastro-García (Wirel. Networks, 2024)

Conformal prediction for labelling and updating online models in the presence of concept drift in cybersecurity. - David Escudero García; Noemí DeCastro-García (J. Inf. Secur. Appl., 2025)