Spremljaj
ENRIQUE ALEGRE
ENRIQUE ALEGRE
Professor in Computer Science. Universidad de Leon (Spain)
Preverjeni e-poštni naslov na unileon.es - Domača stran
Naslov
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Leto
On-line tool wear monitoring using geometric descriptors from digital images
M Castejón, E Alegre, J Barreiro, LK Hernández
International Journal of Machine Tools and Manufacture 47 (12-13), 1847-1853, 2007
2252007
SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders
A Joshi, E Fidalgo, E Alegre, L Fernández-Robles
Expert Systems with Applications 129, 200-215, 2019
1702019
Classifying illegal activities on tor network based on web textual contents
MW Al Nabki, E Fidalgo, E Alegre, I De Paz
Proceedings of the 15th Conference of the European Chapter of the …, 2017
1532017
Class distribution estimation based on the Hellinger distance
V González-Castro, R Alaiz-Rodríguez, E Alegre
Information Sciences 218, 146-164, 2013
1492013
Torank: Identifying the most influential suspicious domains in the tor network
MW Al-Nabki, E Fidalgo, E Alegre, L Fernández-Robles
Expert Systems with Applications 123, 212-226, 2019
1082019
A review of spam email detection: analysis of spammer strategies and the dataset shift problem
F Jáñez-Martino, R Alaiz-Rodríguez, V González-Castro, E Fidalgo, ...
Artificial Intelligence Review 56 (2), 1145-1173, 2023
1012023
Tool wear monitoring using an online, automatic and low cost system based on local texture
MT García-Ordás, E Alegre-Gutiérrez, R Alaiz-Rodríguez, ...
Mechanical systems and signal processing 112, 98-112, 2018
962018
Machine-vision-based identification of broken inserts in edge profile milling heads
L Fernández-Robles, G Azzopardi, E Alegre, N Petkov
Robotics and Computer-Integrated Manufacturing 44, 276-283, 2017
952017
Conceptos y métodos en visión por computador
E Alegre, G Pajares, A de la Escalera
Conceptos y métodos en visión por computador, 2016
922016
A computer vision approach to analyze and classify tool wear level in milling processes using shape descriptors and machine learning techniques
MT García-Ordás, E Alegre, V González-Castro, R Alaiz-Rodríguez
The International Journal of Advanced Manufacturing Technology 90, 1947-1961, 2017
822017
Use of descriptors based on moments from digital images for tool wear monitoring
J Barreiro, M Castejón, E Alegre, LK Hernández
International Journal of Machine Tools and Manufacture 48 (9), 1005-1013, 2008
802008
Transfer learning for classification of cardiovascular tissues in histological images
C Mazo, J Bernal, M Trujillo, E Alegre
Computer methods and programs in biomedicine 165, 69-76, 2018
772018
DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization
A Joshi, E Fidalgo, E Alegre, L Fernández-Robles
Expert Systems with Applications 211, 118442, 2023
762023
Pornography and child sexual abuse detection in image and video: A comparative evaluation
A Gangwar, E Fidalgo, E Alegre, V González-Castro
8th international conference on imaging for crime detection and prevention …, 2017
752017
Object detection for crime scene evidence analysis using deep learning
S Saikia, E Fidalgo, E Alegre, L Fernández-Robles
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
742017
Phishing URL detection: A real-case scenario through login URLs
M Sánchez-Paniagua, EF Fernández, E Alegre, W Al-Nabki, ...
IEEe Access 10, 42949-42960, 2022
722022
A evaluation of surface roughness classes by computer vision using wavelet transform in the frequency domain
P Morala-Argüello, J Barreiro, E Alegre
The International Journal of Advanced Manufacturing Technology 59, 213-220, 2012
702012
AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images
A Gangwar, V González-Castro, E Alegre, E Fidalgo
Neurocomputing 445, 81-104, 2021
562021
Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering
E Fidalgo, E Alegre, L Fernández-Robles, V González-Castro
Digital Investigation 30, 12-22, 2019
502019
Efficient detection of botnet traffic by features selection and decision trees
J Velasco-Mata, V González-Castro, EF Fernández, E Alegre
IEEE Access 9, 120567-120579, 2021
452021
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