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Noemí DeCastro-García
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2020 – today
- 2024
- [j11]Noemí DeCastro-García, David Escudero García, Miguel V. Carriegos:
A mathematical analysis about the geo-temporal characterization of the multi-class maliciousness of an IP address. Wirel. Networks 30(6): 5033-5048 (2024) - [j10]David Escudero García, Noemí DeCastro-García:
Transfer and online learning for IP maliciousness prediction in a concept drift scenario. Wirel. Networks 30(8): 7423-7444 (2024) - [c7]David Escudero García, Noemí DeCastro-García:
Application of Transfer Learning to Online Models in Malware Detection. HAIS (1) 2024: 177-189 - 2023
- [j9]Miguel V. Carriegos, Noemí DeCastro-García, David Escudero García:
Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift. Comput. Math. Methods 2023: 5780357:1-5780357:8 (2023) - [j8]David Escudero García, Noemí DeCastro-García, Ángel Luis Muñoz Castañeda:
An effectiveness analysis of transfer learning for the concept drift problem in malware detection. Expert Syst. Appl. 212: 118724 (2023) - [c6]David Escudero García, Noemí DeCastro-García:
Application of Anomaly Detection Models to Malware Detection in the Presence of Concept Drift. HAIS 2023: 15-26 - 2022
- [c5]Noemí DeCastro-García, Enrique Pinto:
Measuring the Quality Information of Sources of Cybersecurity by Multi-Criteria Decision Making Techniques. HAIS 2022: 75-87 - 2021
- [j7]David Escudero García, Noemí DeCastro-García:
Optimal feature configuration for dynamic malware detection. Comput. Secur. 105: 102250 (2021) - 2020
- [j6]Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, Mario Fernández-Rodríguez:
Machine learning for automatic assignment of the severity of cybersecurity events. Comput. Math. Methods 2(1) (2020) - [c4]Noemí DeCastro-García, Enrique Pinto:
A Data Quality Assessment Model and Its Application to Cybersecurity Data Sources. CISIS 2020: 263-272 - [c3]Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, Mario Fernández-Rodríguez:
RADSSo: An Automated Tool for the multi-CASH Machine Learning Problem. HAIS 2020: 183-194
2010 – 2019
- 2019
- [j5]Ángel Manuel Guerrero-Higueras, Noemí DeCastro-García, Francisco Javier Rodríguez-Lera, Vicente Matellán, Miguel Ángel Conde:
Predicting academic success through students' interaction with Version Control Systems. Open Comput. Sci. 9(1): 243-251 (2019) - [j4]Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos:
Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm. Complex. 2019: 6278908:1-6278908:16 (2019) - [j3]Miguel V. Carriegos, Noemí DeCastro-García, Ángel Luis Muñoz Castañeda:
Partitions, diophantine equations, and control systems. Discret. Appl. Math. 263: 96-104 (2019) - 2018
- [j2]Ángel Manuel Guerrero-Higueras, Noemí DeCastro-García, Vicente Matellán:
Detection of Cyber-attacks to indoor real time localization systems for autonomous robots. Robotics Auton. Syst. 99: 75-83 (2018) - [c2]Noemí DeCastro-García, Ángel Luis Muñoz Castañeda:
Visualization Index for Educational Resources by Learning Analytics. LASI-SPAIN 2018: 94-103 - [c1]Ángel Manuel Guerrero-Higueras, Noemí DeCastro-García, Vicente Matellán, Miguel Á. Conde:
Predictive models of academic success: a case study with version control systems. TEEM 2018: 306-312 - 2017
- [j1]Ángel Manuel Guerrero-Higueras, Noemí DeCastro-García, Francisco Javier Rodríguez-Lera, Vicente Matellán:
Empirical analysis of cyber-attacks to an indoor real time localization system for autonomous robots. Comput. Secur. 70: 422-435 (2017) - 2016
- [i1]Miguel V. Carriegos, Noemí DeCastro-García, Ángel Luis Muñoz Castañeda:
Linear representations of convolutional codes over rings. CoRR abs/1609.05043 (2016)
Coauthor Index
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last updated on 2024-12-05 20:45 CET by the dblp team
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