Eduardo Fidalgo

Orcid: 0000-0003-1202-5232

According to our database1, Eduardo Fidalgo authored at least 59 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
DeepHSAR: Semi-supervised fine-grained learning for multi-label human sexual activity recognition.
Inf. Process. Manag., 2024

RankSum An unsupervised extractive text summarization based on rank fusion.
CoRR, 2024

2023
Supervised ranking approach to identify infLuential websites in the darknet.
Appl. Intell., October, 2023

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

Triple-BigGAN: Semi-supervised generative adversarial networks for image synthesis and classification on sexual facial expression recognition.
Neurocomputing, April, 2023

A review of spam email detection: analysis of spammer strategies and the dataset shift problem.
Artif. Intell. Rev., February, 2023

Improvement of Accent Classification Models Through Grad-Transfer From Spectrograms and Gradient-Weighted Class Activation Mapping.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization.
Expert Syst. Appl., 2023

PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification.
IEEE Access, 2023

MeWEHV: Mel and Wave Embeddings for Human Voice Tasks.
IEEE Access, 2023

A Data Augmentation Strategy for Improving Age Estimation to Support CSEM Detection.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022
A survey on methods, datasets and implementations for scene text spotting.
IET Image Process., 2022

Phishing websites detection using a novel multipurpose dataset and web technologies features.
Expert Syst. Appl., 2022

RankSum - An unsupervised extractive text summarization based on rank fusion.
Expert Syst. Appl., 2022

Phishing URL Detection: A Real-Case Scenario Through Login URLs.
IEEE Access, 2022

Detecting malware using text documents extracted from spam email through machine learning.
Proceedings of the 22nd ACM Symposium on Document Engineering, 2022

2021
Image retrieval based on texture using latent space representation of discrete Fourier transformed maps.
Neural Comput. Appl., 2021

A new perceptual hashing method for verification and identity classification of occluded faces.
Image Vis. Comput., 2021

AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images.
Neurocomputing, 2021

State of the Art: Content-based and Hybrid Phishing Detection.
CoRR, 2021

Efficient Detection of Botnet Traffic by Features Selection and Decision Trees.
IEEE Access, 2021

Colour Neural Descriptors for Instance Retrieval Using CNN Features and Colour Models.
IEEE Access, 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

Improving named entity recognition in noisy user-generated text with local distance neighbor feature.
Neurocomputing, 2020

Perceptual image hashing based on frequency dominant neighborhood structure applied to Tor domains recognition.
Neurocomputing, 2020

Short Text Classification Approach to Identify Child Sexual Exploitation Material.
CoRR, 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

File Name Classification Approach to Identify Child Sexual Abuse.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Impact of Current Phishing Strategies in Machine Learning Models for Phishing Detection.
Proceedings of the 13th International Conference on Computational Intelligence in Security for Information Systems, 2020

2019
Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences.
Sensors, 2019

ToRank: Identifying the most influential suspicious domains in the Tor network.
Expert Syst. Appl., 2019

SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders.
Expert Syst. Appl., 2019

Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering.
Digit. Investig., 2019

Content-Based Features to Rank Influential Hidden Services of the Tor Darknet.
CoRR, 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

Application of Extractive Text Summarization Algorithms to Speech-to-Text Media.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

Botnet Detection on TCP Traffic Using Supervised Machine Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

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

Use of Natural Language Processing to Identify Inappropriate Content in Text.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments.
Sensors, 2018

Boosting image classification through semantic attention filtering strategies.
Pattern Recognit. Lett., 2018

2017
Query Based Object Retrieval Using Neural Codes.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Illegal Activity Categorisation in DarkNet Based on Image Classification Using CREIC Method.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Object Detection for Crime Scene Evidence Analysis Using Deep Learning.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Pornography and child sexual abuse detection in image and video: A comparative evaluation.
Proceedings of the 8th International Conference on Imaging for Crime Detection and Prevention, 2017

Recognition of service domains on TOR dark net using perceptual hashing and image classification techniques.
Proceedings of the 8th International Conference on Imaging for Crime Detection and Prevention, 2017

Classifying Illegal Activities on Tor Network Based on Web Textual Contents.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Compass radius estimation for improved image classification using Edge-SIFT.
Neurocomputing, 2016

2010
Surface Finish Control in Machining Processes Using Haralick Descriptors and Neuronal Networks.
Proceedings of the Computational Modeling of Objects Represented in Images, 2010


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