Francisco Jáñez-Martino

According to our database, Francisco Jáñez-Martino authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Analysis and classification of spam email using Artificial Intelligence to identify cyberthreats.

Francisco Jáñez-Martino

Proces. del Leng. Natural, 2024

Towards Multi-Class Smishing Detection: A Novel Feature Vector Approach and the Smishing-4C Dataset.

Alicia Martínez-Mendoza, Francisco Jáñez-Martino, Andrés Carofilis, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo

Proceedings of the Poster Proceedings of the 40th Annual Conference of the Spanish Association for Natural Language Processing 2024 (SEPLN-P 2024) co-located with the 40th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024

2023

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach.

Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre

Appl. Soft Comput., May, 2023

A review of spam email detection: analysis of spammer strategies and the dataset shift problem.

Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre

Artif. Intell. Rev., February, 2023

UniLeon-UniBO at IberLEF 2023 Task DIPROMATS: RoBERTa-based Models to Climb Up the Propaganda Tree in English and Spanish.

Francisco Jáñez-Martino, Alberto Barrón-Cedeño

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

2022

Detecting malware using text documents extracted from spam email through machine learning.

Luis Ángel Redondo-Gutierrez, Francisco Jáñez-Martino, Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro, Rocío Alaíz-Rodríguez

Proceedings of the 22nd ACM Symposium on Document Engineering, 2022

2021

Fraudulent E-Commerce Websites Detection Through Machine Learning.

Manuel Sánchez-Paniagua, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Trustworthiness of spam email addresses using machine learning.

Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo

Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

2020

Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications.

Deisy Chaves, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez, Francisco Jáñez-Martino, George Azzopardi

Sensors, 2020

Rectification and Super-Resolution Enhancements for Forensic Text Recognition.

Pablo Blanco-Medina, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez, Francisco Jáñez-Martino, Alexandra Bonnici

Sensors, 2020

Classification of Industrial Control Systems screenshots using Transfer Learning.

Pablo Blanco-Medina, Eduardo Fidalgo Fernandez, Enrique Alegre, Francisco Jáñez-Martino, Roberto A. Vasco-Carofilis, Víctor Fidalgo Villar

CoRR, 2020

Perceptual Hashing applied to Tor domains recognition.

Rubel Biswas, Roberto A. Vasco-Carofilis, Eduardo Fidalgo Fernandez, Francisco Jáñez-Martino, Pablo Blanco-Medina

CoRR, 2020

Classifying Suspicious Content in Tor Darknet.

Eduardo Fidalgo Fernandez, Roberto Andrés Vasco Carofilis, Francisco Jáñez-Martino, Pablo Blanco-Medina

CoRR, 2020

Classification of Spam Emails through Hierarchical Clustering and Supervised Learning.

Francisco Jáñez-Martino, Eduardo Fidalgo, Santiago González-Martínez, Javier Velasco-Mata

CoRR, 2020

Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection.

Mhd Wesam Al Nabki, Eduardo Fidalgo, Roberto A. Vasco-Carofilis, Francisco Jáñez-Martino, Javier Velasco-Mata

CoRR, 2020

Improving Named Entity Recognition in Tor Darknet with Local Distance Neighbor Feature.

Mhd Wesam Al Nabki, Francisco Jáñez-Martino, Roberto A. Vasco-Carofilis, Eduardo Fidalgo, Javier Velasco-Mata

CoRR, 2020

Improving Age Estimation in Minors and Young Adults with Occluded Faces to Fight Against Child Sexual Exploitation.

Deisy Chaves, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino, Rubel Biswas

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019

CPU vs GPU performance of deep learning based face detectors using resized images in forensic applications.

Deisy Chaves, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino, Javier Velasco-Mata

Proceedings of the 9th International Conference on Imaging for Crime Detection and Prevention, 2019

Improving text recognition in Tor darknet with rectification and super-resolution techniques.

Pablo Blanco-Medina, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino

Proceedings of the 9th International Conference on Imaging for Crime Detection and Prevention, 2019

Classifying Pastebin Content Through the Generation of PasteCC Labeled Dataset.

Adrián Riesco, Eduardo Fidalgo, Mhd Wesam Al Nabki, Francisco Jáñez-Martino, Enrique Alegre

Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019