Francisco Jáñez-Martino

Orcid: 0000-0001-7665-6418

According to our database1, Francisco Jáñez-Martino authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Analysis and classification of spam email using Artificial Intelligence to identify cyberthreats.
Proces. del Leng. Natural, 2024

2023
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach.
Appl. Soft Comput., May, 2023

A review of spam email detection: analysis of spammer strategies and the dataset shift problem.
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.
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.
Proceedings of the 22nd ACM Symposium on Document Engineering, 2022

2021
Fraudulent E-Commerce Websites Detection Through Machine Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Trustworthiness of spam email addresses using machine learning.
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.
Sensors, 2020

Rectification and Super-Resolution Enhancements for Forensic Text Recognition.
Sensors, 2020

Classification of Industrial Control Systems screenshots using Transfer Learning.
CoRR, 2020

Perceptual Hashing applied to Tor domains recognition.
CoRR, 2020

Classifying Suspicious Content in Tor Darknet.
CoRR, 2020

Classification of Spam Emails through Hierarchical Clustering and Supervised Learning.
CoRR, 2020

Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection.
CoRR, 2020

Improving Named Entity Recognition in Tor Darknet with Local Distance Neighbor Feature.
CoRR, 2020

Improving Age Estimation in Minors and Young Adults with Occluded Faces to Fight Against Child Sexual Exploitation.
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.
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.
Proceedings of the 9th International Conference on Imaging for Crime Detection and Prevention, 2019

Classifying Pastebin Content Through the Generation of PasteCC Labeled Dataset.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019


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