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ORCIDEduardo Fidalgo
Eduardo F. Fidalgo – Eduardo Fidalgo Fernandez
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2020 – today
- 2024
[j29]Abhishek Gangwar, Víctor González-Castro
, Enrique Alegre, Eduardo Fidalgo, Alicia Martínez-Mendoza:
DeepHSAR: Semi-supervised fine-grained learning for multi-label human sexual activity recognition. Inf. Process. Manag. 61(5): 103800 (2024)- [i13]Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach. CoRR abs/2402.05296 (2024) - [i12]A. Joshi, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez:
RankSum An unsupervised extractive text summarization based on rank fusion. CoRR abs/2402.05976 (2024) - 2023
- [j28]Luis Felipe Castaño, Eduardo Fidalgo Fernandez, Rocío Alaíz-Rodríguez, Enrique Alegre:
PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification. IEEE Access 11: 40779-40789 (2023) - [j27]Roberto Andrés Vasco Carofilis, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo:
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. IEEE Access 11: 80089-80104 (2023) - [j26]Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
A review of spam email detection: analysis of spammer strategies and the dataset shift problem. Artif. Intell. Rev. 56(2): 1145-1173 (2023) - [j25]Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves:
Supervised ranking approach to identify infLuential websites in the darknet. Appl. Intell. 53(19): 22952-22968 (2023) - [j24]Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach. Appl. Soft Comput. 139: 110226 (2023) - [j23]Akanksha Joshi, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization. Expert Syst. Appl. 211: 118442 (2023) - [j22]Abhishek Gangwar, Víctor González-Castro, Enrique Alegre, Eduardo Fidalgo:
Triple-BigGAN: Semi-supervised generative adversarial networks for image synthesis and classification on sexual facial expression recognition. Neurocomputing 528: 200-216 (2023) - [j21]Roberto Andrés Vasco Carofilis, Enrique Alegre, Eduardo Fidalgo, Laura Fernández-Robles:
Improvement of Accent Classification Models Through Grad-Transfer From Spectrograms and Gradient-Weighted Class Activation Mapping. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2859-2871 (2023) - [c20]Deisy Chaves, Nancy Agarwal, Eduardo Fidalgo, Enrique Alegre:
A Data Augmentation Strategy for Improving Age Estimation to Support CSEM Detection. VISIGRAPP (5: VISAPP) 2023: 692-699 - 2022
- [j20]Manuel Sánchez-Paniagua, Eduardo Fidalgo Fernandez, Enrique Alegre, Mhd Wesam Al Nabki, Víctor González-Castro:
Phishing URL Detection: A Real-Case Scenario Through Login URLs. IEEE Access 10: 42949-42960 (2022) - [j19]Akanksha Joshi, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez:
RankSum - An unsupervised extractive text summarization based on rank fusion. Expert Syst. Appl. 200: 116846 (2022) - [j18]Manuel Sánchez-Paniagua, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez:
Phishing websites detection using a novel multipurpose dataset and web technologies features. Expert Syst. Appl. 207: 118010 (2022) - [j17]Pablo Blanco-Medina, Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro:
A survey on methods, datasets and implementations for scene text spotting. IET Image Process. 16(13): 3426-3445 (2022) - [c19]Luis Ángel Redondo-Gutierrez, Francisco Jáñez-Martino, Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro, Rocío Alaíz-Rodríguez:
Detecting malware using text documents extracted from spam email through machine learning. DocEng 2022: 17:1-17:4 - [i11]Roberto Andrés Vasco Carofilis, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo:
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. CoRR abs/2209.14078 (2022) - 2021
- [j16]Surajit Saikia, Laura Fernández-Robles, Eduardo Fidalgo Fernandez, Enrique Alegre:
Colour Neural Descriptors for Instance Retrieval Using CNN Features and Colour Models. IEEE Access 9: 23218-23234 (2021) - [j15]Javier Velasco-Mata, Víctor González-Castro, Eduardo Fidalgo Fernandez, Enrique Alegre:
Efficient Detection of Botnet Traffic by Features Selection and Decision Trees. IEEE Access 9: 120567-120579 (2021) - [j14]Abhishek Gangwar, Víctor González-Castro, Enrique Alegre, Eduardo Fidalgo:
AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images. Neurocomputing 445: 81-104 (2021) - [j13]Rubel Biswas, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
A new perceptual hashing method for verification and identity classification of occluded faces. Image Vis. Comput. 113: 104245 (2021) - [j12]Surajit Saikia, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo:
Image retrieval based on texture using latent space representation of discrete Fourier transformed maps. Neural Comput. Appl. 33(20): 13301-13316 (2021) - [c18]Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo:
Trustworthiness of spam email addresses using machine learning. DocEng 2021: 17:1-17:4 - [c17]Manuel Sánchez-Paniagua, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino:
Fraudulent E-Commerce Websites Detection Through Machine Learning. HAIS 2021: 267-279 - [i10]Luis Felipe Castaño, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves, Manuel Sánchez-Paniagua:
State of the Art: Content-based and Hybrid Phishing Detection. CoRR abs/2101.12723 (2021) - [i9]Javier Velasco-Mata, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
Efficient Detection of Botnet Traffic by features selection and Decision Trees. CoRR abs/2107.02896 (2021) - 2020
- [j11]Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
Improving named entity recognition in noisy user-generated text with local distance neighbor feature. Neurocomputing 382: 1-11 (2020) - [j10]Rubel Biswas, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
Perceptual image hashing based on frequency dominant neighborhood structure applied to Tor domains recognition. Neurocomputing 383: 24-38 (2020) - [j9]Deisy Chaves, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez, Francisco Jáñez-Martino, George Azzopardi:
Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications. Sensors 20(16): 4491 (2020) - [j8]Pablo Blanco-Medina, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez, Francisco Jáñez-Martino, Alexandra Bonnici:
Rectification and Super-Resolution Enhancements for Forensic Text Recognition. Sensors 20(20): 5850 (2020) - [c16]Manuel Sánchez-Paniagua, Eduardo Fidalgo, Víctor González-Castro, Enrique Alegre:
Impact of Current Phishing Strategies in Machine Learning Models for Phishing Detection. CISIS 2020: 87-96 - [c15]Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez:
File Name Classification Approach to Identify Child Sexual Abuse. ICPRAM 2020: 228-234 - [c14]Deisy Chaves, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino, Rubel Biswas:
Improving Age Estimation in Minors and Young Adults with Occluded Faces to Fight Against Child Sexual Exploitation. VISIGRAPP (5: VISAPP) 2020: 721-729 - [i8]Mhd Wesam Al Nabki, Francisco Jáñez-Martino, Roberto A. Vasco-Carofilis, Eduardo Fidalgo, Javier Velasco-Mata:
Improving Named Entity Recognition in Tor Darknet with Local Distance Neighbor Feature. CoRR abs/2005.08746 (2020) - [i7]Mhd Wesam Al Nabki, Eduardo Fidalgo, Roberto A. Vasco-Carofilis, Francisco Jáñez-Martino, Javier Velasco-Mata:
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection. CoRR abs/2005.08766 (2020) - [i6]Francisco Jáñez-Martino, Eduardo Fidalgo, Santiago González-Martínez, Javier Velasco-Mata:
Classification of Spam Emails through Hierarchical Clustering and Supervised Learning. CoRR abs/2005.08773 (2020) - [i5]Eduardo Fidalgo Fernandez, Roberto Andrés Vasco Carofilis, Francisco Jáñez-Martino, Pablo Blanco-Medina:
Classifying Suspicious Content in Tor Darknet. CoRR abs/2005.10086 (2020) - [i4]Rubel Biswas, Roberto A. Vasco-Carofilis, Eduardo Fidalgo Fernandez, Francisco Jáñez-Martino, Pablo Blanco-Medina:
Perceptual Hashing applied to Tor domains recognition. CoRR abs/2005.10090 (2020) - [i3]Pablo Blanco-Medina, Eduardo Fidalgo Fernandez, Enrique Alegre, Francisco Jáñez-Martino, Roberto A. Vasco-Carofilis, Víctor Fidalgo Villar:
Classification of Industrial Control Systems screenshots using Transfer Learning. CoRR abs/2005.10098 (2020) - [i2]Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez:
Short Text Classification Approach to Identify Child Sexual Exploitation Material. CoRR abs/2011.01113 (2020)
2010 – 2019
- 2019
- [j7]Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles, Víctor González-Castro:
Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering. Digit. Investig. 30: 12-22 (2019) - [j6]Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
ToRank: Identifying the most influential suspicious domains in the Tor network. Expert Syst. Appl. 123: 212-226 (2019) - [j5]Akanksha Joshi, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders. Expert Syst. Appl. 129: 200-215 (2019) - [j4]Oscar García-Olalla, Laura Fernández-Robles, Enrique Alegre, Manuel Castejón Limas, Eduardo Fidalgo:
Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences. Sensors 19(5): 1048 (2019) - [c13]Sergio Merayo-Alba, Eduardo Fidalgo, Víctor González-Castro, Rocío Alaíz-Rodríguez, Javier Velasco-Mata:
Use of Natural Language Processing to Identify Inappropriate Content in Text. HAIS 2019: 254-263 - [c12]Javier Velasco-Mata, Eduardo Fidalgo, Víctor González-Castro, Enrique Alegre, Pablo Blanco-Medina:
Botnet Detection on TCP Traffic Using Supervised Machine Learning. HAIS 2019: 444-455 - [c11]Adrián Riesco, Eduardo Fidalgo, Mhd Wesam Al Nabki, Francisco Jáñez-Martino, Enrique Alegre:
Classifying Pastebin Content Through the Generation of PasteCC Labeled Dataset. HAIS 2019: 456-467 - [c10]Domínguez M. Victor, Eduardo F. Fidalgo, Rubel Biswas, Enrique Alegre, Laura Fernández-Robles:
Application of Extractive Text Summarization Algorithms to Speech-to-Text Media. HAIS 2019: 540-550 - [c9]Pablo Blanco-Medina, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino:
Improving text recognition in Tor darknet with rectification and super-resolution techniques. ICDP 2019: 32-37 - [c8]Deisy Chaves, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino, Javier Velasco-Mata:
CPU vs GPU performance of deep learning based face detectors using resized images in forensic applications. ICDP 2019: 93-98 - [i1]Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves:
Content-Based Features to Rank Influential Hidden Services of the Tor Darknet. CoRR abs/1910.02332 (2019) - 2018
- [j3]Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro, Laura Fernández-Robles:
Boosting image classification through semantic attention filtering strategies. Pattern Recognit. Lett. 112: 176-183 (2018) - [j2]Oscar García-Olalla, Enrique Alegre, Laura Fernández-Robles, Eduardo Fidalgo, Surajit Saikia:
Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments. Sensors 18(5): 1329 (2018) - 2017
- [c7]Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Ivan de Paz:
Classifying Illegal Activities on Tor Network Based on Web Textual Contents. EACL (1) 2017: 35-43 - [c6]Rubel Biswas, Eduardo Fidalgo, Enrique Alegre:
Recognition of service domains on TOR dark net using perceptual hashing and image classification techniques. ICDP 2017: 7-12 - [c5]Abhishek Gangwar, Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro:
Pornography and child sexual abuse detection in image and video: A comparative evaluation. ICDP 2017: 37-42 - [c4]Surajit Saikia, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
Object Detection for Crime Scene Evidence Analysis Using Deep Learning. ICIAP (2) 2017: 14-24 - [c3]Surajit Saikia, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
Query Based Object Retrieval Using Neural Codes. SOCO-CISIS-ICEUTE 2017: 513-523 - [c2]Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro, Laura Fernández-Robles:
Illegal Activity Categorisation in DarkNet Based on Image Classification Using CREIC Method. SOCO-CISIS-ICEUTE 2017: 600-609 - 2016
- [j1]Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro, Laura Fernández-Robles:
Compass radius estimation for improved image classification using Edge-SIFT. Neurocomputing 197: 119-135 (2016) - 2010
- [c1]Enrique Alegre, Rocío Alaíz-Rodríguez, Joaquín Barreiro, Eduardo Fidalgo, Laura Fernández-Robles:
Surface Finish Control in Machining Processes Using Haralick Descriptors and Neuronal Networks. CompIMAGE 2010: 231-241
Coauthor Index
[j29] [i13] [i12] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [c20] [j20] [j19] [j18] [j17] [c19] [i11] [j16] [j15] [j14] [j13] [j12] [c17] [i10] [i9] [j11] [j10] [j9] [j8] [c16] [c15] [c14] [i3] [i2] [j7] [j6] [j5] [j4] [c12] [c11] [c10] [c9] [c8] [i1] [j3] [j2] [c7] [c6] [c5] [c4] [c3] [c2] [j1] [c1]
Roberto Andrés Vasco Carofilis
aka: Roberto A. Vasco-Carofilis
aka: Roberto A. Vasco-Carofilis
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last updated on 2024-08-03 21:12 CEST by the dblp team
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