50 citations · 62 across the 13 of their papers we have counts for
13 papers
Overcoming Occlusions in the Wild: A Multi-Task Age Head Approach to Age Estimation
Waqar Tanveer, Laura Fernández-Robles, Eduardo Fidalgo +2
Facial age estimation has achieved considerable success under controlled conditions. However, in unconstrained real-world scenarios, which are often referred to as 'in the wild', a…
Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery
Christopher Gaul, Eduardo Fidalgo, Enrique Alegre +2
Accurate automatic screening of minors in unconstrained images requires models robust to distribution shift and resilient to the under-representation of children in public datasets…
PushPull-Net: Inhibition-driven ResNet robust to image corruptions
Guru Swaroop Bennabhaktula, Enrique Alegre, Nicola Strisciuglio +1
We introduce a novel computational unit, termed PushPull-Conv, in the first layer of a ResNet architecture, inspired by the anti-phase inhibition phenomenon observed in the primary…
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…
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks
Andrés Carofilis, Laura Fernández-Robles, Enrique Alegre +1
A recent trend in speech processing is the use of embeddings created through machine learning models trained on a specific task with large datasets. By leveraging the knowledge alr…
Efficient Detection of Botnet Traffic by features selection and Decision Trees
Javier Velasco-Mata, Víctor González-Castro, Eduardo Fidalgo +1
Botnets are one of the online threats with the biggest presence, causing billionaire losses to global economies. Nowadays, the increasing number of devices connected to the Interne…
State of the Art: Content-based and Hybrid Phishing Detection
F. Castaño, E. Fidalgo, E. Alegre +2
Phishing attacks have evolved and increased over time and, for this reason, the task of distinguishing between a legitimate site and a phishing site is more and more difficult, foo…
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet
Derrick Timmerman, Swaroop Bennabhaktula, Enrique Alegre +1
The identification of source cameras from videos, though it is a highly relevant forensic analysis topic, has been studied much less than its counterpart that uses images. In this…
Short Text Classification Approach to Identify Child Sexual Exploitation Material
Mhd Wesam Al-Nabki, Eduardo Fidalgo, Enrique Alegre +1
Producing or sharing Child Sexual Exploitation Material (CSEM) is a serious crime fought vigorously by Law Enforcement Agencies (LEAs). When an LEA seizes a computer from a potenti…
Classification of Industrial Control Systems screenshots using Transfer Learning
Pablo Blanco Medina, Eduardo Fidalgo Fernandez, Enrique Alegre +3
Industrial Control Systems depend heavily on security and monitoring protocols. Several tools are available for this purpose, which scout vulnerabilities and take screenshots from…
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise
Guru Swaroop Bennabhaktula, Enrique Alegre, Dimka Karastoyanova +1
One of the challenging problems in digital image forensics is the capability to identify images that are captured by the same camera device. This knowledge can help forensic expert…
Content-Based Features to Rank Influential Hidden Services of the Tor Darknet
Mhd Wesam Al-Nabki, Eduardo Fidalgo, Enrique Alegre +1
The unevenness importance of criminal activities in the onion domains of the Tor Darknet and the different levels of their appeal to the end-user make them tangled to measure their…