Enrique Alegre

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 66

Top Topics

Agglomerative Hierarchical Clustering

Image Classification

Textual Content

Top Venues

Expert Syst. Appl.

Publications

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) (2024)
Francisco Jáñez-Martino, Rocío Alaiz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach. CoRR (2024)
A. Joshi, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez
RankSum An unsupervised extractive text summarization based on rank fusion. CoRR (2024)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Luis Felipe Castaño, Eduardo Fidalgo Fernandez, Rocío Alaíz-Rodríguez, Enrique Alegre
PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification. IEEE Access 11 (2023)
Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves
Supervised ranking approach to identify infLuential websites in the darknet. Appl. Intell. 53 (19) (2023)
Deisy Chaves, Nancy Agarwal, Eduardo Fidalgo, Enrique Alegre
A Data Augmentation Strategy for Improving Age Estimation to Support CSEM Detection. VISIGRAPP (5: VISAPP) (2023)
Roberto Andrés Vasco Carofilis, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. IEEE Access 11 (2023)
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) (2023)
Andrés Vasco-Carofilis, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. CoRR (2022)
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)
Guru Swaroop Bennabhaktula, Derrick Timmerman, Enrique Alegre, George Azzopardi
Source Camera Device Identification from Videos. SN Comput. Sci. 3 (4) (2022)
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 (2022)
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 (2022)
Guru Swaroop Bennabhaktula, Enrique Alegre, Dimka Karastoyanova, George Azzopardi
Camera model identification based on forensic traces extracted from homogeneous patches. Expert Syst. Appl. 206 (2022)
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) (2022)
Akanksha Joshi, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez
RankSum - An unsupervised extractive text summarization based on rank fusion. Expert Syst. Appl. 200 (2022)
Luis Felipe Castaño, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves, Manuel Sánchez-Paniagua
State of the Art: Content-based and Hybrid Phishing Detection. CoRR (2021)
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 (2021)
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 (2021)
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) (2021)
Manuel Sánchez-Paniagua, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino
Fraudulent E-Commerce Websites Detection Through Machine Learning. HAIS (2021)
Javier Velasco-Mata, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre
Efficient Detection of Botnet Traffic by features selection and Decision Trees. CoRR (2021)
Derrick Timmerman, Guru Swaroop Bennabhaktula, Enrique Alegre, George Azzopardi
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet. ICPRAM (2021)
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 (2021)
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 (2021)
Manuel Sánchez-Paniagua, Eduardo Fidalgo, Víctor González-Castro, Enrique Alegre
Impact of Current Phishing Strategies in Machine Learning Models for Phishing Detection. CISIS (2020)
Guru Swaroop Bennabhaktula, Enrique Alegre, Dimka Karastoyanova, George Azzopardi
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise. ICPRAM (2020)
Guru Swaroop Bennabhaktula, Enrique Alegre, Dimka Karastoyanova, George Azzopardi
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise. CoRR (2020)
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 (2020)
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)
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) (2020)
Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez
Short Text Classification Approach to Identify Child Sexual Exploitation Material. CoRR (2020)
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 (2020)
Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez
File Name Classification Approach to Identify Child Sexual Abuse. ICPRAM (2020)
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 (2020)
Derrick Timmerman, Guru Swaroop Bennabhaktula, Enrique Alegre, George Azzopardi
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet. CoRR (2020)
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) (2020)
Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles, Víctor González-Castro
Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering. Digit. Investig. 30 (2019)
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)
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 (2019)
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) (2019)
Javier Velasco-Mata, Eduardo Fidalgo, Víctor González-Castro, Enrique Alegre, Pablo Blanco-Medina
Botnet Detection on TCP Traffic Using Supervised Machine Learning. HAIS (2019)
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)
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 (2019)
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)
Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves
Content-Based Features to Rank Influential Hidden Services of the Tor Darknet. CoRR (2019)
Pablo Blanco-Medina, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino
Improving text recognition in Tor darknet with rectification and super-resolution techniques. ICDP (2019)
Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro, Laura Fernández-Robles
Boosting image classification through semantic attention filtering strategies. Pattern Recognit. Lett. 112 (2018)
Claudia Mazo, María P. Trujillo, Enrique Alegre, Liliana Salazar
Ontology-based Automatic Reclassication of Tissues and Organs in Histological Images. AMW (2018)
Claudia Mazo, José Bernal, María P. Trujillo, Enrique Alegre
Transfer learning for classification of cardiovascular tissues in histological images. Comput. Methods Programs Biomed. 165 (2018)
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) (2018)
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)
Claudia Mazo, Enrique Alegre, María P. Trujillo
Classification of cardiovascular tissues using LBP based descriptors and a cascade SVM. Comput. Methods Programs Biomed. 147 (2017)
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)
Surajit Saikia, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles
Query Based Object Retrieval Using Neural Codes. SOCO-CISIS-ICEUTE (2017)
Claudia Mazo, Liliana Salazar, Óscar Corcho, María P. Trujillo, Enrique Alegre
A histological ontology of the human cardiovascular system. J. Biomed. Semant. 8 (1) (2017)
Rubel Biswas, Eduardo Fidalgo, Enrique Alegre
Recognition of service domains on TOR dark net using perceptual hashing and image classification techniques. ICDP (2017)
Claudia Mazo, Enrique Alegre, María P. Trujillo, Víctor González-Castro
Tissues Classification of the Cardiovascular System Using Texture Descriptors. MIUA (2017)
Surajit Saikia, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles
Object Detection for Crime Scene Evidence Analysis Using Deep Learning. ICIAP (2) (2017)
Abhishek Gangwar, Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro
Pornography and child sexual abuse detection in image and video: A comparative evaluation. ICDP (2017)
Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro, Laura Fernández-Robles
Compass radius estimation for improved image classification using Edge-SIFT. Neurocomputing 197 (2016)
George Azzopardi, Laura Fernández-Robles, Enrique Alegre, Nicolai Petkov
Increased generalization capability of trainable COSFIRE filters with application to machine vision. ICPR (2016)
Laura Fernández-Robles, George Azzopardi, Enrique Alegre, Nicolai Petkov
Cutting Edge Localisation in an Edge Profile Milling Head. CAIP (2) (2015)
Oscar García-Olalla, Enrique Alegre, Laura Fernández-Robles, Patrik Malm, Ewert Bengtsson
Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors. Comput. Methods Programs Biomed. 120 (1) (2015)
Oscar García-Olalla, Enrique Alegre, Laura Fernández-Robles, Víctor González-Castro
Local Oriented Statistics Information Booster (LOSIB) for Texture Classification. ICPR (2014)
María Teresa García-Ordás, Enrique Alegre, Víctor González-Castro, Diego García-Ordás
aZIBO: A New Descriptor Based in Shape Moments and Rotational Invariant Features. ICPR (2014)
Oscar García-Olalla, Enrique Alegre, María Teresa García-Ordás, Laura Fernández-Robles
Evaluation of LBP Variants Using Several Metrics and kNN Classifiers. SISAP (2013)
María Teresa García-Ordás, Enrique Alegre, Oscar García-Olalla, Diego García-Ordás
Evaluation of Different Metrics for Shape Based Image Retrieval Using a New Contour Points Descriptor. SISAP (2013)
Enrique Alegre, Michael Biehl, Nicolai Petkov, Lidia Sánchez
Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ. Comput. Methods Programs Biomed. 111 (3) (2013)
Víctor González-Castro, Rocío Alaíz-Rodríguez, Enrique Alegre
Class distribution estimation based on the Hellinger distance. Inf. Sci. 218 (2013)
Diego García-Ordás, Laura Fernández-Robles, Enrique Alegre, María Teresa García-Ordás, Oscar García-Olalla
Automatic Tampering Detection in Spliced Images with Different Compression Levels. IbPRIA (2013)
Oscar García-Olalla, Enrique Alegre, Laura Fernández-Robles, María Teresa García-Ordás, Diego García-Ordás
Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification. EURASIP J. Image Video Process. 2013 (2013)
Oscar García-Olalla, Enrique Alegre, Laura Fernández-Robles, María Teresa García-Ordás
Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation. ACCV Workshops (1) (2012)
Enrique Alegre, Víctor González-Castro, Rocío Alaíz-Rodríguez, María Teresa García-Ordás
Texture and moments-based classification of the acrosome integrity of boar spermatozoa images. Comput. Methods Programs Biomed. 108 (2) (2012)
Víctor González-Castro, Enrique Alegre, Oscar García-Olalla, Diego García-Ordás, María Teresa García-Ordás, Laura Fernández-Robles
Curvelet-Based Texture Description to Classify Intact and Damaged Boar Spermatozoa. ICIAR (2) (2012)
Enrique Alegre, María Teresa García-Ordás, Víctor González-Castro, S. Karthikeyan
Vitality Assessment of Boar Sperm Using N Concentric Squares Resized (NCSR) Texture Descriptor in Digital Images. IbPRIA (2011)
Enrique Alegre, Oscar García-Olalla, Víctor González-Castro, Swapna Joshi
Boar Spermatozoa Classification Using Longitudinal and Transversal Profiles (LTP) Descriptor in Digital Images. IWCIA (2011)
Víctor González-Castro, Rocío Alaíz-Rodríguez, Laura Fernández-Robles, Roberto Guzmán-Martínez, Enrique Alegre
Estimating Class Proportions in Boar Semen Analysis Using the Hellinger Distance. IEA/AIE (1) (2010)
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)
Enrique Alegre, Michael Biehl, Nicolai Petkov, Lidia Sánchez
Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ. Comput. Biol. Medicine 38 (4) (2008)
Enrique Alegre, Joaquín Barreiro, Manuel Castejón, Sir Suarez
Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes. ICIAR (2008)
Lidia Sánchez, Víctor González-Castro, Enrique Alegre, Rocío Alaíz-Rodríguez
Classification and Quantification Based on Image Analysis for Sperm Samples with Uncertain Damaged/Intact Cell Proportions. ICIAR (2008)
Nikolai Petkov, Enrique Alegre, Michael Biehl, Lidia Sánchez
LVQ acrosome integrity assessment of boar sperm cells. CompIMAGE (2006)
Enrique Alegre, Rocío Alaíz-Rodríguez, Joaquín Barreiro, M. Viñuela
Tool Insert Wear Classification Using Statistical Descriptors and Neuronal Networks. CIARP (2005)
Lidia Sánchez, Nicolai Petkov, Enrique Alegre
Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distribution. CAIP (2005)
Lidia Sánchez, Nicolai Petkov, Enrique Alegre
Classification of Boar Spermatozoid Head Images Using a Model Intracellular Density Distribution. CIARP (2005)
Vanessa Robles, Enrique Alegre, José M. Sebastián
Tracking Algorithms Evaluation in Feature Points Image Sequences. ICIAR (2) (2004)