Biswas, R; González-Castro, V; Fidalgo Fernández, E; Alegre, Enrique. "A new perceptual hashing method for verification and identity classification of occluded faces". Image and Vision Computing, Vol (113), pp. 104245, (2021). DOI: https://doi.org/10.1016/j.imavis.2021.104245.
Publications
Biswas, R; Chaves, D; Fernández-Robles, L; Fidalgo Fernández, E; Alegre, Enrique. "A Video Summarization Approach to Speed-up the Analysis of Child Sexual Exploitation Material". In: XLII Jornadas de Automática. Spain. 2021. pp. 648-654.
Gangwar Kumar, A; González-Castro, V; Alegre, Enrique; Fidalgo Fernández, E. "AttM-CNN: Attention and Metric Learning Based CNN for Pornography, Age and Child Sexual Abuse (CSA) Detection in Images". Neurocomputing, (2021). DOI: https://doi.org/10.1016/j.neucom.2021.02.056.
Roberto A. Vasco-Carofilis; Blanco Medina, P; F. Jáñez-Martino; Fidalgo Fernández, E; . "Classifying Screenshots of Industrial Control System Using Transfer Learning and Fine-Tuning". In: The V Jornadas Nacionales de Investigación en Ciberseguridad (JNIC),. Paper presented at Cybersecurity Research National Conferences, Spain. 2021. DOI: 10.18239/jornadas_2021.34.35.
Saikia, S; Fernández-Robles, L; Fidalgo Fernández, E; Alegre, Enrique. "Colour Neural Descriptors for Instance Retrieval Using CNN Features and Colour Models". IEEE Access, pp. 23218-23234, (2021). DOI: 10.1109/ACCESS.2021.3056330.
Blanco Medina, P; Fidalgo Fernández, E; Alegre, Enrique; Roberto A. Vasco-Carofilis; Martino F. J.; . "Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning". Applied Sciences, Vol (11(1)), pp. 367, (2021). DOI: https://doi.org/10.3390/app11010367.
Velasco Mata, J; Chaves, D; Al Nabki, W; Fidalgo Fernández, E; Alegre, Enrique; . "Development of a Hardware Benchmark for Forensic Face Detection Applications". In: The V Jornadas Nacionales de Investigación en Ciberseguridad (JNIC),. Paper presented at Cybersecurity Research National Conferences, Spain. 2021.
Velasco Mata, J; González-Castro, V; Fidalgo Fernández, E; Alegre, Enrique. "Efficient Detection of Botnet Traffic by Features Selection and Decision Trees". IEEE Access, pp. 120567-120579, (2021). DOI: 109/ACCESS.2021.3108222.
FELIPE, L; ; J. Juan; Velasco Mata, J; Fidalgo Fernández, E; Alegre, Enrique. "Evaluation of state-of-art phishing detection strategies based on machine learning". In: The V Jornadas Nacionales de Investigación en Ciberseguridad (JNIC),. Paper presented at Cybersecurity Research National Conferences, Spain. 2021.
; Fidalgo Fernández, E; Alegre, Enrique; Martino F. J.. "Fraudulent e-commerce websites detection through machine learning". Paper presented at Hybrid Artificial Intelligent Systems, Spain. 2021.
Saikia, S; Fernández-Robles, L; Alegre, Enrique; Fidalgo Fernández, E. "Image Retrieval based on Texture Using Latent Space Representation of Discrete Fourier Transformed Maps". Neural Computing and Applications, (2021). DOI: https://doi.org/10.1007/ss00521-021-05955-2.
Biswas, R; Chaves, D; F. Jáñez-Martino; Blanco Medina, P; Fidalgo Fernández, E; García-Olalla, O.; . "Reinforcement of age estimation in forensic tools to detect Child Sexual Exploitation Material". In: The V Jornadas Nacionales de Investigación en Ciberseguridad (JNIC),. Paper presented at Cybersecurity Research National Conferences, Spain. 2021.
Al Nabki, W; Fidalgo Fernández, E; Alegre, Enrique; Alaiz Rodríguez, R. "Short Text Classification Approach to Identify Child Sexual Exploitation Material".
arXiv preprint arXiv:2011.01113
FELIPE, L; Fidalgo Fernández, E; Alegre, Enrique; Chaves, D; . "State of the Art: Content-based and Hybrid Phishing Detection".
arXiv preprint arXiv:2101.12723
Martino F. J.; Alaiz Rodríguez, R; González-Castro, V; Fidalgo Fernández, E. "Trustworthiness of spam email addresses using machine learning". In: Proceedings of the 21st ACM Symposium on Document Engineering. 2021. DOI: DOI:10.1145/3469096.3475060.
Chaves, D; Fidalgo Fernández, E; Alegre, Enrique; Alaiz Rodríguez, R; Martino F. J.; . "Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications". Sensors, Vol (20(16)), (2020). DOI: https://doi.org/10.3390/s20164491.
Chaves, D; Fidalgo Fernández, E; Alegre, Enrique; Alaiz Rodríguez, R; Martino F. J.; . "Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications". Sensors, Vol (20(16)), pp. 5850, (2020). DOI: https://doi.org/10.3390/s20164491.
Blanco Medina, P; Fidalgo Fernández, E; Alegre, Enrique; Martino F. J.; Roberto A. Vasco-Carofilis; . "Classification of Industrial Control Systems screenshots using Transfer Learning". arXiv preprint arXiv:2005.10098, (2020).
F. Jáñez-Martino; Fidalgo Fernández, E; Santiago González-Martínez; Velasco Mata, J. "Classification of Spam Emails through Hierarchical Clustering and Supervised Learning". ArXiv preprint arXiv:2005.08773, (2020).
Fidalgo Fernández, E; Roberto A. Vasco-Carofilis; Martino F. J.; Blanco Medina, P. "Classifying Suspicious Content in Tor Darknet". arXiv preprint arXiv:2005.10086, (2020).