Jorge Calvo-Zaragoza 个人学术档案

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Jose J. Valero-MasAssistant Professor, University of Alicante, Spain在 dlsi.ua.es 的电子邮件经过验证
Antonio Javier GallegoAssociate Professor, University of Alicante, Spain在 dlsi.ua.es 的电子邮件经过验证
Jose M. IñestaUniversity of Alicante在 dlsi.ua.es 的电子邮件经过验证
Juan Ramón RICO-JUANUniversidad de Alicante在 ua.es 的电子邮件经过验证
Francisco J. CastellanosUniversity of Alicante在 dlsi.ua.es 的电子邮件经过验证
Ichiro FujinagaProfessor, Music Technology Area, Schulich School of Music, McGill University在 mcgill.ca 的电子邮件经过验证
Gabriel VigliensoniConcordia University在 vigliensoni.com 的电子邮件经过验证
Jose OncinaUniversidad de Alicante在 dlsi.ua.es 的电子邮件经过验证
Alexander PachaTU Wien在 tuwien.ac.at 的电子邮件经过验证
Antonio PertusaAssociate professor, University of Alicante在 dlsi.ua.es 的电子邮件经过验证
María Alfaro-ContrerasUniversidad de Alicante在 dlsi.ua.es 的电子邮件经过验证
Enrique VidalEmeritus Professor, Universidad Politecnica de Valencia在 prhlt.upv.es 的电子邮件经过验证
Jan Hajič jr.Institute of Formal and Applied Linguistics, Charles University in Prague在 ufal.mff.cuni.cz 的电子邮件经过验证
Alicia FornesComputer Vision Center - UAB在 cvc.uab.es 的电子邮件经过验证
Arnau BaróComputer vision center - Unviversitat autònoma de Barcelona在 cvc.uab.es 的电子邮件经过验证
Pau RibaComputer Vision Center在 cvc.uab.cat 的电子邮件经过验证
PEDRO JOSE PONCE DE LEON AMA...Profesor Contratado Doctor, Universidad de Alicante在 gcloud.ua.es 的电子邮件经过验证
Sergio Cuenca-AsensiProfesor (UA)在 dtic.ua.es 的电子邮件经过验证
Antonio Martínez-ÁlvarezCatedrático/Full Professor @ University of Alicante - Dept. of Computer Technology在 dtic.ua.es 的电子邮件经过验证
Andrés OrtizFull Professor at University of Málaga. BioSiP Lab在 ic.uma.es 的电子邮件经过验证

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Jorge Calvo-Zaragoza

Universidad de Alicante

在 dlsi.ua.es 的电子邮件经过验证 - 首页

Optical Music Recognition Document Analysis Pattern Recognition


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Understanding optical music recognition J Calvo-Zaragoza, JH Jr, A Pacha ACM Computing Surveys (CSUR) 53 (4), 1-35, 2020	168	2020
A selectional auto-encoder approach for document image binarization J Calvo-Zaragoza, AJ Gallego Pattern Recognition 86, 37-47, 2019	163	2019
Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation AJ Gallego, J Calvo-Zaragoza, JJ Valero-Mas, JR Rico-Juan Pattern Recognition 74, 531-543, 2018	124	2018
End-to-end neural optical music recognition of monophonic scores J Calvo-Zaragoza, D Rizo Applied Sciences 8 (4), 606, 2018	111	2018
Handwritten music recognition for mensural notation with convolutional recurrent neural networks J Calvo-Zaragoza, AH Toselli, E Vidal Pattern Recognition Letters 128, 115-121, 2019	81	2019
Improving kNN multi-label classification in Prototype Selection scenarios using class proposals J Calvo-Zaragoza, JJ Valero-Mas, JR Rico-Juan Pattern Recognition 48 (5), 1608-1622, 2015	80	2015
From optical music recognition to handwritten music recognition: a baseline A Baró, P Riba, J Calvo-Zaragoza, A Fornés Pattern Recognition Letters 123, 1-8, 2019	79	2019
Recognition of pen-based music notation: the HOMUS dataset J Calvo-Zaragoza, J Oncina 2014 22nd International Conference on Pattern Recognition, 3038-3043, 2014	69	2014
A baseline for general music object detection with deep learning A Pacha, J Hajič Jr, J Calvo-Zaragoza Applied Sciences 8 (9), 1488, 2018	68	2018
Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores. J Calvo-Zaragoza, D Rizo ISMIR, 248-255, 2018	64	2018
Staff-line removal with selectional auto-encoders AJ Gallego, J Calvo-Zaragoza Expert Systems with Applications 89, 138-148, 2017	55	2017
Oversampling imbalanced data in the string space FJ Castellanos, JJ Valero-Mas, J Calvo-Zaragoza, JR Rico-Juan Pattern Recognition Letters 103, 32-38, 2018	54	2018
Deep neural networks for document processing of music score images J Calvo-Zaragoza, FJ Castellanos, G Vigliensoni, I Fujinaga Applied Sciences 8 (5), 654, 2018	53	2018
END-TO-END OPTICAL MUSIC RECOGNITION USING NEURAL NETWORKS J Calvo-Zaragoza, JJ Valero-Mas, A Pertusa International Society for Music Information Retrieval Conference, 2017	44	2017
Incremental unsupervised domain-adversarial training of neural networks AJ Gallego, J Calvo-Zaragoza, RB Fisher IEEE Transactions on Neural Networks and Learning Systems 32 (11), 2021	43	2021
Automatic detection of inconsistencies between numerical scores and textual feedback in peer-assessment processes with machine learning JR Rico-Juan, AJ Gallego, J Calvo-Zaragoza Computers & Education 140, 103609, 2019	43	2019
A holistic approach to polyphonic music transcription with neural networks MA Román, A Pertusa, J Calvo-Zaragoza Proceedings of the 20th International Society for Music Information …, 2019	41	2019
An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts. MA Román, A Pertusa, J Calvo-Zaragoza ISMIR, 34-41, 2018	41	2018
Optical Music Recognition in Mensural Notation with Region-based Convolutional Neural Networks. A Pacha, J Calvo-Zaragoza ISMIR, 240-247, 2018	40	2018
Two (Note) Heads Are Better Than One: Pen-Based Multimodal Interaction with Music Scores. J Calvo-Zaragoza, D Rizo, JMI Quereda ISMIR, 509-514, 2016	40	2016

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