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Disambiguation of "Moreno-García, Carlos Francisco"

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Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks.

, , and . EANN, volume 2 of Proceedings of the International Neural Networks Society, page 215-224. Springer, (2020)Online only because of the COVID-19 pandemic..

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Francisco García Moreno

Carlos Moreno

Diana Moreno-Garcia

Jose Francisco García Lázaro

Juan Carlos Camargo García

 

Other publications of authors with the same name

A Graph Repository for Learning Error-Tolerant Graph Matching., , and . S+SSPR, volume 10029 of Lecture Notes in Computer Science, page 519-529. (2016)Symbols Classification in Engineering Drawings., , and . IJCNN, page 1-8. IEEE, (2018)AGREE: A Feature Attribution Aggregation Framework to Address Explainer Disagreements with Alignment Metrics., , , and . ICCBR Workshops, volume 3438 of CEUR Workshop Proceedings, page 184-199. CEUR-WS.org, (2023)Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engagement Behaviours During and Since the Time of COVID-19., , and . FIE, page 1-8. IEEE, (2023)Digital Interpretation of Sensor-Equipment Diagrams.. SICSA ReaLX, volume 2151 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks., , and . EANN, volume 2 of Proceedings of the International Neural Networks Society, page 215-224. Springer, (2020)Online only because of the COVID-19 pandemic..Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections., , , and . EANN, volume 1826 of Communications in Computer and Information Science, page 217-226. Springer, (2023)An Edit Distance Between Graph Correspondences., , and . GbRPR, volume 10310 of Lecture Notes in Computer Science, page 232-241. (2017)Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks., , and . IJCNN, page 1-7. IEEE, (2020)Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation., , , , and . CEC, page 744-751. IEEE, (2021)