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2020 – today
- 2024
[j41]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) - [i11]María Teresa García-Ordás, Enrique Alegre-Gutiérrez, Rocío Alaíz-Rodríguez, Víctor González-Castro:
Tool wear monitoring using an online, automatic and low cost system based on local texture. CoRR abs/2402.05977 (2024) - [i10]María Teresa García-Ordás, Enrique Alegre-Gutiérrez, Victor González-Castro, Rocío Alaíz-Rodríguez:
Combining shape and contour features to improve tool wear monitoring in milling processes. CoRR abs/2402.05978 (2024) - [i9]Guru Swaroop Bennabhaktula, Enrique Alegre, Nicola Strisciuglio, George Azzopardi:
PushPull-Net: Inhibition-driven ResNet robust to image corruptions. CoRR abs/2408.04077 (2024) - 2023
- [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [c41]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
- [j32]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) - [j31]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) - [j30]Guru Swaroop Bennabhaktula, Enrique Alegre, Dimka Karastoyanova, George Azzopardi:
Camera model identification based on forensic traces extracted from homogeneous patches. Expert Syst. Appl. 206: 117769 (2022) - [j29]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) - [j28]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) - [j27]Guru Swaroop Bennabhaktula, Derrick Timmerman, Enrique Alegre, George Azzopardi:
Source Camera Device Identification from Videos. SN Comput. Sci. 3(4): 316 (2022) - [c40]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 - [i8]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
- [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [c39]Manuel Sánchez-Paniagua, Eduardo Fidalgo, Enrique Alegre, Francisco Jáñez-Martino:
Fraudulent E-Commerce Websites Detection Through Machine Learning. HAIS 2021: 267-279 - [c38]Derrick Timmerman, Guru Swaroop Bennabhaktula, Enrique Alegre, George Azzopardi:
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet. ICPRAM 2021: 417-425 - [i7]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) - [i6]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
- [j21]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) - [j20]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) - [j19]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) - [j18]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) - [c37]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 - [c36]Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez:
File Name Classification Approach to Identify Child Sexual Abuse. ICPRAM 2020: 228-234 - [c35]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: 578-584 - [c34]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 - [i5]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 abs/2004.11443 (2020) - [i4]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) - [i3]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) - [i2]Derrick Timmerman, Guru Swaroop Bennabhaktula, Enrique Alegre, George Azzopardi:
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet. CoRR abs/2012.06277 (2020)
2010 – 2019
- 2019
- [j17]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) - [j16]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) - [j15]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) - [j14]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) - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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
- [j13]Claudia Mazo, José Bernal, María P. Trujillo, Enrique Alegre:
Transfer learning for classification of cardiovascular tissues in histological images. Comput. Methods Programs Biomed. 165: 69-76 (2018) - [j12]María Teresa García-Ordás, Enrique Alegre-Gutiérrez, Víctor González-Castro, Rocío Alaíz-Rodríguez:
Combining shape and contour features to improve tool wear monitoring in milling processes. Int. J. Prod. Res. 56(11): 3901-3913 (2018) - [j11]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) - [j10]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) - [c28]Claudia Mazo, María P. Trujillo, Enrique Alegre, Liliana Salazar:
Ontology-based Automatic Reclassication of Tissues and Organs in Histological Images. AMW 2018 - 2017
- [j9]Claudia Mazo, Liliana Salazar, Óscar Corcho, María P. Trujillo, Enrique Alegre:
A histological ontology of the human cardiovascular system. J. Biomed. Semant. 8(1): 47:1-47:15 (2017) - [j8]Claudia Mazo, Enrique Alegre, María P. Trujillo:
Classification of cardiovascular tissues using LBP based descriptors and a cascade SVM. Comput. Methods Programs Biomed. 147: 1-10 (2017) - [c27]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 - [c26]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 - [c25]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 - [c24]Surajit Saikia, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
Object Detection for Crime Scene Evidence Analysis Using Deep Learning. ICIAP (2) 2017: 14-24 - [c23]Claudia Mazo, Enrique Alegre, María P. Trujillo, Víctor González-Castro:
Tissues Classification of the Cardiovascular System Using Texture Descriptors. MIUA 2017: 123-132 - [c22]Surajit Saikia, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
Query Based Object Retrieval Using Neural Codes. SOCO-CISIS-ICEUTE 2017: 513-523 - [c21]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
- [j7]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) - [c20]George Azzopardi, Laura Fernández-Robles, Enrique Alegre, Nicolai Petkov:
Increased generalization capability of trainable COSFIRE filters with application to machine vision. ICPR 2016: 3356-3361 - 2015
- [j6]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): 49-64 (2015) - [c19]Laura Fernández-Robles, George Azzopardi, Enrique Alegre, Nicolai Petkov:
Cutting Edge Localisation in an Edge Profile Milling Head. CAIP (2) 2015: 336-347 - 2014
- [c18]Oscar García-Olalla, Enrique Alegre, Laura Fernández-Robles, Víctor González-Castro:
Local Oriented Statistics Information Booster (LOSIB) for Texture Classification. ICPR 2014: 1114-1119 - [c17]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: 2395-2400 - 2013
- [j5]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): 525-536 (2013) - [j4]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: 31 (2013) - [j3]Víctor González-Castro, Rocío Alaíz-Rodríguez, Enrique Alegre:
Class distribution estimation based on the Hellinger distance. Inf. Sci. 218: 146-164 (2013) - [c16]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: 416-423 - [c15]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: 141-150 - [c14]Oscar García-Olalla, Enrique Alegre, María Teresa García-Ordás, Laura Fernández-Robles:
Evaluation of LBP Variants Using Several Metrics and kNN Classifiers. SISAP 2013: 151-162 - 2012
- [j2]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): 873-881 (2012) - [c13]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: 61-72 - [c12]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: 448-455 - 2011
- [c11]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: 540-547 - [c10]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: 410-419 - 2010
- [c9]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 - [c8]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: 284-293
2000 – 2009
- 2008
- [j1]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): 461-468 (2008) - [c7]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: 827-836 - [c6]Enrique Alegre, Joaquín Barreiro, Manuel Castejón, Sir Suarez:
Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes. ICIAR 2008: 1101-1110 - 2006
- [c5]Nikolai Petkov, Enrique Alegre, Michael Biehl, Lidia Sánchez:
LVQ acrosome integrity assessment of boar sperm cells. CompIMAGE 2006: 337-342 - 2005
- [c4]Lidia Sánchez, Nicolai Petkov, Enrique Alegre:
Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distribution. CAIP 2005: 88-95 - [c3]Lidia Sánchez, Nicolai Petkov, Enrique Alegre:
Classification of Boar Spermatozoid Head Images Using a Model Intracellular Density Distribution. CIARP 2005: 154-160 - [c2]Enrique Alegre, Rocío Alaíz-Rodríguez, Joaquín Barreiro, M. Viñuela:
Tool Insert Wear Classification Using Statistical Descriptors and Neuronal Networks. CIARP 2005: 786-793 - 2004
- [c1]Vanessa Robles, Enrique Alegre, José M. Sebastián:
Tracking Algorithms Evaluation in Feature Points Image Sequences. ICIAR (2) 2004: 589-598
Coauthor Index
[j41] [i13] [i12] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [c41] [j32] [j31] [j29] [j28] [c40] [i8] [j26] [j25] [j24] [j23] [j22] [c39] [i7] [i6] [j21] [j20] [j19] [j18] [c37] [c36] [c34] [i4] [i3] [j17] [j16] [j15] [j14] [c33] [c32] [c31] [c30] [c29] [i1] [j11] [j10] [c27] [c26] [c25] [c24] [c22] [c21] [j7] [c9]
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