Enrique Alegre

发表

A segmentation approach for evaluating wear of inserts in milling machines with computer vision techniques

Guillermo Mart́ınez-San-Mart́ın, Laura Fernández-Robles, Enrique Alegre, 2014 .

Adaptive pattern spectrum image description using Euclidean and Geodesic distance without training for texture classification

María Teresa García-Ordás, Laura Fernández-Robles, Enrique Alegre, 2012 .

Automatic recognition of fundamental tissues on histology images of the human cardiovascular system.

Enrique Alegre, M. Trujillo, C. Mazo, 2016, Micron.

Statistical approach to boar semen evaluation using intracellular intensity distribution of head images.

N. Petkov, Enrique Alegre, L. Sánchez, 2007, Cellular and molecular biology.

Evaluation of the State of Cutting Tools According to Its Texture Using LOSIB and LBP Variants

Eduardo Fidalgo, Laura Fernández-Robles, Víctor González-Castro, 2017 .

Transfer learning for classification of cardiovascular tissues in histological images

María P. Trujillo, Enrique Alegre, Claudia Mazo, 2018, Comput. Methods Programs Biomed..

Annals of DAAAM and Proceedings of the International DAAAM Symposium

Víctor González-Castro, Enrique Alegre, Joaquín Barreiro, 2009 .

File Name Classification Approach to Identify Child Sexual Abuse

Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez, 2020, ICPRAM.

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

R. Alaíz-Rodríguez, Enrique Alegre, V. González-Castro, 2022, Artificial Intelligence Review.

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

R. Alaíz-Rodríguez, Enrique Alegre, M. Sánchez-Paniagua, 2022, Expert Syst. Appl..

Improving Age Estimation in Minors and Young Adults with Occluded Faces to Fight Against Child Sexual Exploitation

Enrique Alegre, Deisy Chaves, Rubel Biswas, 2020, VISIGRAPP.

PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS, PROCEEDINGS

Nicolai Petkov, Enrique Alegre, Lidia Sánchez, 2005 .

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

Laura Fernández-Robles, Enrique Alegre, Akanksha Joshi, 2022, Expert Syst. Appl..

Camera model identification based on forensic traces extracted from homogeneous patches

Guru Swaroop Bennabhaktula, Dimka Karastoyanova, Enrique Alegre, 2022, Expert Systems with Applications.

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

Enrique Alegre, V. González-Castro, Eduardo Fidalgo, 2022, IET Image Process..

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

Enrique Alegre, Eduardo FIDALGO, V. González-Castro, 2022, IEEE Access.

Detecting malware using text documents extracted from spam email through machine learning

R. Alaíz-Rodríguez, Enrique Alegre, V. González-Castro, 2022, DocEng.

MeWEHV: Mel and Wave Embeddings for Human Voice Tasks

Enrique Alegre, Eduardo Fidalgo, Andr'es Vasco-Carofilis, 2022, ArXiv.

Evaluation of Clustering Configurations for Object Retrieval Using SIFT Features

Laura Fernández-Robles, Enrique Alegre, Javier Alfonso-Cendón, 2015 .

Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors

Laura Fernández-Robles, Ewert Bengtsson, Enrique Alegre, 2015, Comput. Methods Programs Biomed..

Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ

Nicolai Petkov, Michael Biehl, Enrique Alegre, 2013, Comput. Methods Programs Biomed..

Texture and moments-based classification of the acrosome integrity of boar spermatozoa images

Víctor González-Castro, María Teresa García-Ordás, Enrique Alegre, 2012, Comput. Methods Programs Biomed..

A combined and intelligent new segmentation method for boar semen based on thresholding and Watershed transform

Enrique Alegre, Sir Suarez, P. Morala-Argüello, 2009 .

Using an ontology of the human cardiovascular system to improve the classification of histological images

Enrique Alegre, Claudia Mazo, Maria Trujillo, 2020, Scientific Reports.

SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2019, Expert Syst. Appl..

Deep Learning based Text Summarization : Approaches , Databases and Evaluation Measures

Akanksha Joshi, Enrique Alegre, E. Alegre, 2017 .

RankSum - An unsupervised extractive text summarization based on rank fusion

R. Alaíz-Rodríguez, Enrique Alegre, Eduardo FIDALGO, 2022, Expert Syst. Appl..

Class distribution estimation based on the Hellinger distance

Enrique Alegre, Rocío Alaíz-Rodríguez, Víctor González-Castro, 2013, Inf. Sci..

A evaluation of surface roughness classes by computer vision using wavelet transform in the frequency domain

Enrique Alegre, Joaquín Barreiro, Patricia Morala-Argüello, 2012 .

Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences

Eduardo Fidalgo, Laura Fernández-Robles, Manuel Castejón Limas, 2019, Sensors.

Cutting Edge Localisation in an Edge Profile Milling Head

George Azzopardi, Laura Fernández-Robles, Nicolai Petkov, 2015, CAIP.

On-line tool wear monitoring using geometric descriptors from digital images

Enrique Alegre, Joaquín Barreiro, Manuel Castejón, 2007 .

A new perceptual hashing method for verification and identity classification of occluded faces

Víctor González-Castro, Enrique Alegre, Rubel Biswas, 2021, Image Vis. Comput..

A computer vision approach to analyse and classify tool wear level in milling processes using shape descriptors and machine learning techniques

Víctor González-Castro, María Teresa García-Ordás, Enrique Alegre, 2016 .

Use of descriptors based on moments from digital images for tool wear monitoring

Enrique Alegre, Joaquín Barreiro, Manuel Castejón, 2008 .

Design of a TCM System Based on Vibration Signal for Metal Turning Processes

Víctor González-Castro, Enrique Alegre, A. I. Fernández-Abia, 2015 .

Machine-vision-based identification of broken inserts in edge profile milling heads

George Azzopardi, Laura Fernández-Robles, Nicolai Petkov, 2017 .

Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet pdf

George Azzopardi, Enrique Alegre, Derrick Timmerman, 2020, ICPRAM.

Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning

Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino, 2021, Applied Sciences.

Perceptual image hashing based on frequency dominant neighborhood structure applied to Tor domains recognition

Eduardo Fidalgo, Enrique Alegre, Rubel Biswas, 2020, Neurocomputing.

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

R. Alaíz-Rodríguez, Enrique Alegre, Eduardo FIDALGO, 2023, Appl. Soft Comput..

Classifying Pastebin Content Through the Generation of PasteCC Labeled Dataset

Eduardo Fidalgo, Enrique Alegre, Mhd Wesam Al Nabki, 2019, HAIS.

Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering

Eduardo Fidalgo, Laura Fernández-Robles, Víctor González-Castro, 2019, Digit. Investig..

ToRank: Identifying the most influential suspicious domains in the Tor network

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2019, Expert Syst. Appl..

Recognition of service domains on TOR dark net using perceptual hashing and image classification techniques

Eduardo Fidalgo, Enrique Alegre, Rubel Biswas, 2017, ICDP.

A histological ontology of the human cardiovascular system

Óscar Corcho, Enrique Alegre, M. Trujillo, 2017, J. Biomed. Semant..

Ontology-based Automatic Reclassication of Tissues and Organs in Histological Images

María P. Trujillo, Enrique Alegre, Claudia Mazo, 2018, AMW.

Classification of cardiovascular tissues using LBP based descriptors and a cascade SVM

María P. Trujillo, Enrique Alegre, Claudia Mazo, 2017, Comput. Methods Programs Biomed..

Classifying Illegal Activities on Tor Network Based on Web Textual Contents

Eduardo Fidalgo, Enrique Alegre, Mhd Wesam Al Nabki, 2017, EACL.

Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ

Nicolai Petkov, Michael Biehl, Enrique Alegre, 2008, Comput. Biol. Medicine.

Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distribution

Nicolai Petkov, Enrique Alegre, Lidia Sánchez, 2005, CAIP.

Use of contour signatures and classification methods to optimize the tool life in metal machining

Enrique Alegre, Rocío Alaiz-Rodríguez, Joaquín Barreiro, 2009, Estonian Journal of Engineering.

Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications †

George Azzopardi, Eduardo Fidalgo, Enrique Alegre, 2020, Sensors.

MeWEHV: Mel and Wave Embeddings for Human Voice Tasks

Enrique Alegre, Eduardo Fidalgo, Andr'es Vasco-Carofilis, 2022, ArXiv.

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

Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo, 2023, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Automatic characterisation of chars from the combustion of pulverised coals using machine vision

Laura Fernández-Robles, Enrique Alegre, Deisy Chaves, 2018, Powder Technology.

Triple-BigGAN: Semi-supervised generative adversarial networks for image synthesis and classification on sexual facial expression recognition

Enrique Alegre, V. González-Castro, Eduardo Fidalgo, 2023, Neurocomputing.

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

Eduardo Fidalgo, Víctor González-Castro, Enrique Alegre, 2021, Neurocomputing.

Object Detection for Crime Scene Evidence Analysis Using Deep Learning

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2017, ICIAP.

Query Based Object Retrieval Using Neural Codes

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2017, SOCO-CISIS-ICEUTE.

Pornography and child sexual abuse detection in image and video: A comparative evaluation

Eduardo Fidalgo, Víctor González-Castro, Enrique Alegre, 2017, ICDP.

Boosting image classification through semantic attention filtering strategies

Eduardo Fidalgo, Laura Fernández-Robles, Víctor González-Castro, 2018, Pattern Recognit. Lett..

State of the Art: Content-based and Hybrid Phishing Detection pdf

Enrique Alegre, Eduardo Fidalgo, Manuel Sánchez-Paniagua, 2021, ArXiv.

Impact of Current Phishing Strategies in Machine Learning Models for Phishing Detection

Eduardo Fidalgo, Enrique Alegre, Víctor González-Castro, 2019, CISIS.

PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification

Eduardo Fidalgo Fernández, R. Alaíz-Rodríguez, Enrique Alegre, 2023, IEEE Access.

Fraudulent E-Commerce Websites Detection Through Machine Learning

Enrique Alegre, Francisco Jáñez-Martino, Eduardo Fidalgo, 2021, HAIS.

Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2018, Sensors.

Content-Based Features to Rank Influential Hidden Services of the Tor Darknet pdf

Eduardo Fidalgo, Enrique Alegre, Deisy Chaves, 2019, ArXiv.

Rectification and Super-Resolution Enhancements for Forensic Text Recognition †

Eduardo Fidalgo, Enrique Alegre, Rocío Alaiz-Rodríguez, 2020, Sensors.

Efficient Detection of Botnet Traffic by Features Selection and Decision Trees

Enrique Alegre, Javier Velasco-Mata, Eduardo Fidalgo Fernández, 2021, IEEE Access.

Enhancing text recognition on Tor Darknet images

Enrique Alegre, Deisy Chaves, Eduardo Fidalgo Fernández, 2020 .

Local Oriented Statistics Information Booster (LOSIB) for Texture Classification

Laura Fernández-Robles, Enrique Alegre, Oscar García-Olalla, 2014, 2014 22nd International Conference on Pattern Recognition.

Evaluation of LBP Variants Using Several Metrics and kNN Classifiers

Laura Fernández-Robles, María Teresa García-Ordás, Enrique Alegre, 2013, SISAP.

Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification

Laura Fernández-Robles, María Teresa García-Ordás, Enrique Alegre, 2013, EURASIP J. Image Video Process..

Increased generalization capability of trainable COSFIRE filters with application to machine vision

George Azzopardi, Laura Fernández-Robles, Nicolai Petkov, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Supervised ranking approach to identify infLuential websites in the darknet

Enrique Alegre, Eduardo Fidalgo, Deisy Chaves, 2023, Applied Intelligence.

Illegal Activity Categorisation in DarkNet Based on Image Classification Using CREIC Method

Eduardo Fidalgo, Laura Fernández-Robles, Víctor González-Castro, 2017, SOCO-CISIS-ICEUTE.

Improving named entity recognition in noisy user-generated text with local distance neighbor feature

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2020, Neurocomputing.

A computer vision approach to analyze and classify tool wear level in milling processes using shape descriptors and machine learning techniques

María Teresa García-Ordás, R. Alaíz-Rodríguez, Enrique Alegre, 2016, The International Journal of Advanced Manufacturing Technology.

Compass radius estimation for improved image classification using Edge-SIFT

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2016, Neurocomputing.

LVQ acrosome integrity assessment of boar sperm cells

Nicolai Petkov, Michael Biehl, Enrique Alegre, 2006, CompIMAGE.

A histological ontology of the human cardiovascular system

Óscar Corcho, María P. Trujillo, Enrique Alegre, 2017, Journal of Biomedical Semantics.

Colour Neural Descriptors for Instance Retrieval Using CNN Features and Colour Models

Laura Fernández-Robles, Enrique Alegre, Surajit Saikia, 2021, IEEE Access.

Identification of milling inserts in situ based on a versatile machine vision system

George Azzopardi, Laura Fernández-Robles, Nicolai Petkov, 2017 .

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

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2021, Neural Computing and Applications.

Machine-vision-based identification of broken inserts in edge profile milling heads

N. Petkov, Laura Fernández-Roblesa, George Azzopardib, 2017, Robotics and Computer-Integrated Manufacturing.

A computer vision approach to analyze and classify tool wear level in milling processes using shape descriptors and machine learning techniques

María Teresa García-Ordás, R. Alaíz-Rodríguez, Enrique Alegre, 2016, The International Journal of Advanced Manufacturing Technology.

Design of a Computer Vision System to Estimate Tool Wearing

Enrique Alegre, Joaquín Barreiro, Manuel Castejón, 2006 .

Tool Wear Classification Using LBP-based Descriptors Combined with LOSIB-based Enhancers

Laura Fernández-Robles, María Teresa García-Ordás, Enrique Alegre, 2015 .