1 citations · 3 across the 7 of their papers we have counts for
7 papers
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction
Felipe Castaño, Eduardo Fidalgo, Enrique Alegre +3
Phishing attacks pose a significant cybersecurity threat, evolving rapidly to bypass detection mechanisms and exploit human vulnerabilities. This paper introduces PhishKey to addre…
Combining shape and contour features to improve tool wear monitoring in milling processes
M. T. García-Ordás, E. Alegre-Gutiérrez, V. González-Castro +1
In this paper, a new system based on combinations of a shape descriptor and a contour descriptor has been proposed for classifying inserts in milling processes according to their w…
Tool wear monitoring using an online, automatic and low cost system based on local texture
M. T. García-Ordás, E. Alegre-Gutiérrez, R. Alaiz-Rodríguez +1
In this work we propose a new online, low cost and fast approach based on computer vision and machine learning to determine whether cutting tools used in edge profile milling proce…
RankSum An unsupervised extractive text summarization based on rank fusion
A. Joshi, E. Fidalgo, E. Alegre +1
In this paper, we propose Ranksum, an approach for extractive text summarization of single documents based on the rank fusion of four multi-dimensional sentence features extracted…
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
F. Janez-Martino, R. Alaiz-Rodriguez, V. Gonzalez-Castro +2
Spam emails are unsolicited, annoying and sometimes harmful messages which may contain malware, phishing or hoaxes. Unlike most studies that address the design of efficient anti-sp…
A comparative study on feature selection for a risk prediction model for colorectal cancer
N. Cueto-López, M. T. García-Ordás, V. Dávila-Batista +3
Background and objective Risk prediction models aim at identifying people at higher risk of developing a target disease. Feature selection is particularly important to improve the…