Eduardo FIDALGO

Assistant Professor

Universidad de León

Spain

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Eduardo Fidalgo is an Assistant Professor at Universidad de León, Spain. His research expertise encompasses machine learning applications in fraud detection, age estimation, video summarization, and cybersecurity. Recent publications include comparative studies on convolutional neural networks and vision transformers, alongside advancements in spam email classification and audio embedding techniques.

Eduardo FIDALGO

Research Interests

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Articles (23)

Comparative Analysis of CNNs and Vision Transformers for Age Estimation

Improving audio embeddings with squeeze-and-excitation: Introducing SaEENet

Fraud detection in e-commerce: a comparative analysis of features to enhance machine learning models

Human-Centric Video Summarization via Identity-Aware Tracking

Automated Shrinkage and Gas Porosity Detection Using YOLO Model in Additive-Manufactured Aluminum Alloy Parts

Estimation of arithmetical mean roughness using a regression approach and computer vision in stainless steel specimens manufactured by additive manufacturing

Spam email classification based on cybersecurity potential risk using natural language processing

DeepHSAR: Semi-supervised fine-grained learning for multi-label human sexual activity recognition

Classifying the content of online notepad services using active learning

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

DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization

Improvement of Accent Classification Models Through Grad-Transfer From Spectrograms and Gradient-Weighted Class Activation Mapping

MeWEHV: Mel and Wave Embeddings for Human Voice Tasks

PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification

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

DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization

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

Real-time botnet detection on large network bandwidths using machine learning

A survey on methods, datasets and implementations for scene text spotting

Phishing websites detection using a novel multipurpose dataset and web technologies features

RankSum—An unsupervised extractive text summarization based on rank fusion

Phishing URL Detection: A Real-Case Scenario Through Login URLs

Image retrieval based on texture using latent space representation of discrete Fourier transformed maps

Collaborators (4)

Enrique Alegre

ROCÍO ALAIZ-RODRÍGUEZ

Laura Fernández-Robles

Víctor González-Castro

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