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2020 – today
- 2024
[j46]Enrique Mas-Candela, Jorge Calvo-Zaragoza:
Exploring recursive neural networks for compact handwritten text recognition models. Int. J. Document Anal. Recognit. 27(3): 213-223 (2024)- [c80]Carlos Peñarrubia
, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Contrastive Self-Supervised Learning for Optical Music Recognition. DAS 2024: 312-326 - [c79]Martha E. Thomae, David Rizo, Eliseo Fuentes-Martínez, Cristina Alís Raurich, Elsa De Luca, Jorge Calvo-Zaragoza:
A Preliminary Proposal for a Systematic GABC Encoding of Gregorian Chant. DLfM 2024: 45-53 - [c78]Hatef Otroshi-Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik, Sébastien Marcel, Nicolò Di Domenico, Guido Borghi, Davide Maltoni, Fadi Boutros, Julia Vogel, Naser Damer, Ángela Sánchez-Pérez, Enrique Mas-Candela, Jorge Calvo-Zaragoza, Bernardo Biesseck, Pedro Vidal, Roger Granada, David Menotti, Ivan DeAndres-Tame, Simone Maurizio La Cava, Sara Concas, Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Gianpaolo Perelli, Giulia Orrù, Gian Luca Marcialis, Julian Fiérrez:
SDFR: Synthetic Data for Face Recognition Competition. FG 2024: 1-9 - [c77]María Alfaro-Contreras, Antonio Ríos-Vila, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
A Transformer Approach for Polyphonic Audio-to-Score Transcription. ICASSP 2024: 706-710 - [c76]Adrian Rosello, Eliseo Fuentes-Martínez, María Alfaro-Contreras, David Rizo, Jorge Calvo-Zaragoza:
Source-Free Domain Adaptation for Optical Music Recognition. ICDAR (6) 2024: 3-19 - [c75]Antonio Ríos-Vila, Jorge Calvo-Zaragoza, Thierry Paquet:
Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription. ICDAR (6) 2024: 20-37 - [c74]Eric Ayllon, Francisco J. Castellanos, Jorge Calvo-Zaragoza:
Analysis of the Calibration of Handwriting Text Recognition Models. ICDAR (2) 2024: 139-155 - [c73]Alejandro Galán-Cuenca, Jose J. Valero-Mas, Juan C. Martinez-Sevilla, Antonio Hidalgo-Centeno, Antonio Pertusa, Jorge Calvo-Zaragoza:
MUSCAT: A Multimodal mUSic Collection for Automatic Transcription of Real Recordings and Image Scores. ACM Multimedia 2024: 583-591 - [i20]Antonio Ríos-Vila, Jorge Calvo-Zaragoza, Thierry Paquet:
Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription. CoRR abs/2402.07596 (2024) - [i19]Hatef Otroshi-Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik, Sébastien Marcel, Nicolò Di Domenico, Guido Borghi, Davide Maltoni, Fadi Boutros, Julia Vogel, Naser Damer, Ángela Sánchez-Pérez, Enrique Mas-Candela, Jorge Calvo-Zaragoza, Bernardo Biesseck, Pedro Vidal, Roger Granada, David Menotti, Ivan DeAndres-Tame, Simone Maurizio La Cava, Sara Concas, Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Gianpaolo Perelli, Giulia Orrù, Gian Luca Marcialis, Julian Fiérrez:
SDFR: Synthetic Data for Face Recognition Competition. CoRR abs/2404.04580 (2024) - [i18]Carlos Peñarrubia, Carlos Garrido-Munoz, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition. CoRR abs/2404.11585 (2024) - [i17]María Alfaro-Contreras, Jorge Calvo-Zaragoza:
Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition. CoRR abs/2404.18260 (2024) - [i16]Antonio Ríos-Vila, Jorge Calvo-Zaragoza, David Rizo, Thierry Paquet:
Sheet Music Transformer ++: End-to-End Full-Page Optical Music Recognition for Pianoform Sheet Music. CoRR abs/2405.12105 (2024) - [i15]Carlos Peñarrubia, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Self-Supervised Learning for Text Recognition: A Critical Survey. CoRR abs/2407.19889 (2024) - 2023
- [j45]María Alfaro-Contreras, Jose J. Valero-Mas, José M. Iñesta, Jorge Calvo-Zaragoza:
Late multimodal fusion for image and audio music transcription. Expert Syst. Appl. 216: 119491 (2023) - [j44]Antonio Ríos-Vila, David Rizo, José M. Iñesta, Jorge Calvo-Zaragoza:
End-to-end optical music recognition for pianoform sheet music. Int. J. Document Anal. Recognit. 26(3): 347-362 (2023) - [j43]María Alfaro-Contreras, José M. Iñesta, Jorge Calvo-Zaragoza:
Optical music recognition for homophonic scores with neural networks and synthetic music generation. Int. J. Multim. Inf. Retr. 12(1): 12 (2023) - [j42]Carlos de la Fuente, Francisco J. Castellanos, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Multimodal recognition of frustration during game-play with deep neural networks. Multim. Tools Appl. 82(9): 13617-13636 (2023) - [j41]Adrian Rosello, Jose J. Valero-Mas, Antonio Javier Gallego, Javier Sáez-Pérez, Jorge Calvo-Zaragoza:
Kurcuma: a kitchen utensil recognition collection for unsupervised domain adaptation. Pattern Anal. Appl. 26(4): 1557-1569 (2023) - [j40]Enrique Vidal, Alejandro H. Toselli, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
End-to-End page-Level assessment of handwritten text recognition. Pattern Recognit. 142: 109695 (2023) - [j39]María Alfaro-Contreras, Antonio Ríos-Vila, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Few-shot symbol classification via self-supervised learning and nearest neighbor. Pattern Recognit. Lett. 167: 1-8 (2023) - [j38]Alejandro Sánchez-Ferrer, Jose J. Valero-Mas, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
An experimental study on marine debris location and recognition using object detection. Pattern Recognit. Lett. 168: 154-161 (2023) - [c72]Carlos Peñarrubia, Jose J. Valero-Mas, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Addressing Class Imbalance in Multilabel Prototype Generation for k-Nearest Neighbor Classification. IbPRIA 2023: 15-27 - [c71]Carlos Garrido-Munoz, María Alfaro-Contreras, Jorge Calvo-Zaragoza:
Evaluating Domain Generalization in Kitchen Utensils Classification. IbPRIA 2023: 108-118 - [c70]Pedro González-Barrachina, María Alfaro-Contreras, Mario Nieto-Hidalgo, Jorge Calvo-Zaragoza:
Lifelong Learning for Document Image Binarization: An Experimental Study. IbPRIA 2023: 146-157 - [c69]Adrian Rosello, Francisco J. Castellanos, Juan P. Martinez-Esteso, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Test-Time Augmentation for Document Image Binarization. IbPRIA 2023: 158-169 - [c68]Eric Ayllon, Francisco J. Castellanos, Jorge Calvo-Zaragoza:
A Weakly-Supervised Approach for Layout Analysis in Music Score Images. IbPRIA 2023: 170-181 - [c67]Jorge Calvo-Zaragoza, Juan C. Martinez-Sevilla, Carlos Peñarrubia, Antonio Ríos-Vila:
Optical Music Recognition: Recent Advances, Current Challenges, and Future Directions. ICDAR Workshops (1) 2023: 94-104 - [c66]Javier Lucas, Antonio Javier Gallego, Jorge Calvo-Zaragoza, Juan Carlos Martinez-Sevilla:
Automatic Detection of Comic Characters: An Analysis of Model Robustness Across Domains. ICDAR Workshops (1) 2023: 151-162 - [c65]Juan C. Martinez-Sevilla, Antonio Ríos-Vila, Francisco J. Castellanos, Jorge Calvo-Zaragoza:
A Holistic Approach for Aligned Music and Lyrics Transcription. ICDAR (1) 2023: 185-201 - [c64]Juan Carlos Martinez-Sevilla, María Alfaro-Contreras, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Insights into end-to-end audio-to-score transcription with real recordings: A case study with saxophone works. INTERSPEECH 2023: 2793-2797 - [c63]Carlos Peñarrubia, Carlos Garrido-Munoz, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Efficient Notation Assembly in Optical Music Recognition. ISMIR 2023: 182-189 - [c62]Juan C. Martinez-Sevilla, Adrian Rosello, David Rizo, Jorge Calvo-Zaragoza:
On the Performance of Optical Music Recognition in the Absence of Specific Training Data. ISMIR 2023: 319-326 - [i14]Enrique Vidal, Alejandro H. Toselli, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
End-to-End Page-Level Assessment of Handwritten Text Recognition. CoRR abs/2301.05935 (2023) - [i13]Jorge Calvo-Zaragoza, Jan Hajic Jr., Alexander Pacha:
Proceedings of the 1st International Workshop on Reading Music Systems. CoRR abs/2301.10062 (2023) - [i12]Enrique Mas-Candela, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
Image Transformation Sequence Retrieval with General Reinforcement Learning. CoRR abs/2307.06630 (2023) - [i11]Jorge Calvo-Zaragoza, Alexander Pacha, Elona Shatri:
Proceedings of the 5th International Workshop on Reading Music Systems. CoRR abs/2311.04091 (2023) - 2022
- [j37]Francisco J. Castellanos, Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
Region-based layout analysis of music score images. Expert Syst. Appl. 209: 118211 (2022) - [j36]Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza, Ichiro Fujinaga:
Domain adaptation for staff-region retrieval of music score images. Int. J. Document Anal. Recognit. 25(4): 281-292 (2022) - [j35]Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
A holistic approach for image-to-graph: application to optical music recognition. Int. J. Document Anal. Recognit. 25(4): 293-303 (2022) - [j34]Carlos de la Fuente, Jose J. Valero-Mas, Francisco J. Castellanos, Jorge Calvo-Zaragoza:
Multimodal image and audio music transcription. Int. J. Multim. Inf. Retr. 11(1): 77-84 (2022) - [j33]María Alfaro-Contreras, Antonio Ríos-Vila, Jose J. Valero-Mas, José M. Iñesta, Jorge Calvo-Zaragoza:
Decoupling music notation to improve end-to-end Optical Music Recognition. Pattern Recognit. Lett. 158: 157-163 (2022) - [c61]Adrian Rosello, Eric Ayllon, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Test Sample Selection for Handwriting Recognition Through Language Modeling. IbPRIA 2022: 3-13 - [c60]Enrique Mas-Candela, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
A First Approach to Image Transformation Sequence Retrieval. IbPRIA 2022: 321-332 - [c59]Javier Sáez-Pérez, Antonio Javier Gallego, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Domain Adaptation in Robotics: A Study Case on Kitchen Utensil Recognition. IbPRIA 2022: 366-377 - [c58]Antonio Ríos-Vila, José M. Iñesta, Jorge Calvo-Zaragoza:
On the Use of Transformers for End-to-End Optical Music Recognition. IbPRIA 2022: 470-481 - [c57]Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
Retrieval of Music-Notation Primitives via Image-to-Sequence Approaches. IbPRIA 2022: 482-492 - [c56]Alejandro Sánchez-Ferrer, Antonio Javier Gallego, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
The CleanSea Set: A Benchmark Corpus for Underwater Debris Detection and Recognition. IbPRIA 2022: 616-628 - [c55]Víctor Arroyo, Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Antonio Pertusa:
Neural Audio-To-Score Music Transcription For Unconstrained Polyphony Using Compact Output Representations. ICASSP 2022: 4603-4607 - [c54]María Alfaro-Contreras, Jose J. Valero-Mas, José M. Iñesta, Jorge Calvo-Zaragoza:
Multimodal Strategies for Image and Audio Music Transcription: A Comparative Study. ICPR Workshops (3) 2022: 64-77 - [c53]Antonio Ríos-Vila, María Alfaro-Contreras, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Few-Shot Music Symbol Classification via Self-Supervised Learning and Nearest Neighbor. ICPR Workshops (3) 2022: 93-107 - [c52]Carlos Garrido-Munoz, Adrián Sánchez-Hernández, Francisco J. Castellanos, Jorge Calvo-Zaragoza:
Continual Learning for Document Image Binarization. ICPR 2022: 1443-1449 - [c51]Antonio Ríos-Vila, José M. Iñesta, Jorge Calvo-Zaragoza:
End-to-End Full-Page Optical Music Recognition for Mensural Notation. ISMIR 2022: 226-232 - [i10]Francisco J. Castellanos, Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
Region-based Layout Analysis of Music Score Images. CoRR abs/2201.04214 (2022) - [i9]María Alfaro-Contreras, Jose J. Valero-Mas, José M. Iñesta, Jorge Calvo-Zaragoza:
Late multimodal fusion for image and audio music transcription. CoRR abs/2204.03063 (2022) - [i8]Jorge Calvo-Zaragoza, Alexander Pacha, Elona Shatri:
Proceedings of the 4th International Workshop on Reading Music Systems. CoRR abs/2211.13285 (2022) - [i7]Jorge Calvo-Zaragoza, Alexander Pacha:
Proceedings of the 3rd International Workshop on Reading Music Systems. CoRR abs/2212.00378 (2022) - [i6]Jorge Calvo-Zaragoza, Alexander Pacha:
Proceedings of the 2nd International Workshop on Reading Music Systems. CoRR abs/2212.00380 (2022) - 2021
- [j32]Jorge Calvo-Zaragoza, Jan Hajic Jr., Alexander Pacha:
Understanding Optical Music Recognition. ACM Comput. Surv. 53(4): 77:1-77:35 (2021) - [j31]Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Unsupervised neural domain adaptation for document image binarization. Pattern Recognit. 119: 108099 (2021) - [j30]Francisco J. Castellanos, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Prototype generation in the string space via approximate median for data reduction in nearest neighbor classification. Soft Comput. 25(24): 15403-15415 (2021) - [j29]Antonio Javier Gallego, Jorge Calvo-Zaragoza, Robert B. Fisher:
Incremental Unsupervised Domain-Adversarial Training of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4864-4878 (2021) - [c50]Juan C. López-Gutiérrez, Jose J. Valero-Mas, Francisco J. Castellanos, Jorge Calvo-Zaragoza:
Data Augmentation for End-to-End Optical Music Recognition. ICDAR Workshops (1) 2021: 59-73 - [c49]Antonio Ríos-Vila, David Rizo, Jorge Calvo-Zaragoza:
Complete Optical Music Recognition via Agnostic Transcription and Machine Translation. ICDAR (3) 2021: 661-675 - [c48]Enrique Mas-Candela, María Alfaro-Contreras, Jorge Calvo-Zaragoza:
Sequential Next-Symbol Prediction for Optical Music Recognition. ICDAR (3) 2021: 708-722 - [c47]María Alfaro-Contreras, David Rizo, José M. Iñesta, Jorge Calvo-Zaragoza:
OMR-assisted transcription: a case study with early prints. ISMIR 2021: 35-41 - [c46]Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Unsupervised Domain Adaptation for Document Analysis of Music Score Images. ISMIR 2021: 81-87 - [c45]Carlos Garrido-Munoz, Adrián Sánchez-Hernández, Francisco J. Castellanos, Jorge Calvo-Zaragoza:
Domain Adaptation for Document Image Binarization via Domain Classification. MMBD/MLIS 2021: 569-582 - 2020
- [j28]Antonio Javier Gallego, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan:
Insights Into Efficient k-Nearest Neighbor Classification With Convolutional Neural Codes. IEEE Access 8: 99312-99326 (2020) - [j27]Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Automatic scale estimation for music score images. Expert Syst. Appl. 158: 113590 (2020) - [j26]Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
Data representations for audio-to-score monophonic music transcription. Expert Syst. Appl. 162: 113769 (2020) - [j25]Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan, Antonio Javier Gallego:
Ensemble classification from deep predictions with test data augmentation. Soft Comput. 24(2): 1423-1433 (2020) - [c44]Antonio Ríos-Vila, Jorge Calvo-Zaragoza, David Rizo:
Evaluating Simultaneous Recognition and Encoding for Optical Music Recognition. DLfM 2020: 10-17 - [c43]Antonio Ríos-Vila, Jorge Calvo-Zaragoza, José M. Iñesta:
Exploring the two-dimensional nature of music notation for score recognition with end-to-end approaches. ICFHR 2020: 193-198 - [c42]Francisco J. Castellanos, Jorge Calvo-Zaragoza, José M. Iñesta:
A Neural Approach for Full-Page Optical Music Recognition of Mensural Documents. ISMIR 2020: 558-565 - [i5]Antonio Javier Gallego, Jorge Calvo-Zaragoza, Robert B. Fisher:
Incremental Unsupervised Domain-Adversarial Training of Neural Networks. CoRR abs/2001.04129 (2020) - [i4]Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Unsupervised Neural Domain Adaptation for Document Image Binarization. CoRR abs/2012.01204 (2020)
2010 – 2019
- 2019
- [j24]Juan Ramón Rico-Juan, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Extensions to rank-based prototype selection in k-Nearest Neighbour classification. Appl. Soft Comput. 85 (2019) - [j23]Juan Ramón Rico-Juan, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Automatic detection of inconsistencies between numerical scores and textual feedback in peer-assessment processes with machine learning. Comput. Educ. 140 (2019) - [j22]Jorge Calvo-Zaragoza, Alejandro H. Toselli, Enrique Vidal:
Hybrid hidden Markov models and artificial neural networks for handwritten music recognition in mensural notation. Pattern Anal. Appl. 22(4): 1573-1584 (2019) - [j21]Jorge Calvo-Zaragoza, Antonio Javier Gallego:
A selectional auto-encoder approach for document image binarization. Pattern Recognit. 86: 37-47 (2019) - [j20]Arnau Baró, Pau Riba, Jorge Calvo-Zaragoza, Alicia Fornés:
From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognit. Lett. 123: 1-8 (2019) - [j19]Jorge Calvo-Zaragoza, Alejandro H. Toselli, Enrique Vidal:
Handwritten Music Recognition for Mensural notation with convolutional recurrent neural networks. Pattern Recognit. Lett. 128: 115-121 (2019) - [c41]Tudor N. Mateiu, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Domain Adaptation for Handwritten Symbol Recognition: A Case of Study in Old Music Manuscripts. IbPRIA (2) 2019: 135-146 - [c40]María Alfaro-Contreras, Jorge Calvo-Zaragoza, José M. Iñesta:
Approaching End-to-End Optical Music Recognition for Homophonic Scores. IbPRIA (2) 2019: 147-158 - [c39]Alicia Nuñez-Alcover, Pedro J. Ponce de León, Jorge Calvo-Zaragoza:
Glyph and Position Classification of Music Symbols in Early Music Manuscripts. IbPRIA (2) 2019: 159-168 - [c38]Jorge Calvo-Zaragoza, Alejandro H. Toselli, Enrique Vidal, Joan-Andreu Sánchez:
Music Symbol Sequence Indexing in Medieval Plainchant Manuscripts. ICDAR 2019: 882-887 - [c37]Alexander Pacha, Jorge Calvo-Zaragoza, Jan Hajic Jr.:
Learning Notation Graph Construction for Full-Pipeline Optical Music Recognition. ISMIR 2019: 75-82 - [c36]Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
A Holistic Approach to Polyphonic Music Transcription with Neural Networks. ISMIR 2019: 731-737 - [c35]Yaolong Ju, Samuel Howes, Cory McKay, Nathaniel Condit-Schultz, Jorge Calvo-Zaragoza, Ichiro Fujinaga:
An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic Formats. ISMIR 2019: 862-869 - [i3]Jorge Calvo-Zaragoza, Jan Hajic Jr., Alexander Pacha:
Understanding Optical Music Recognition. CoRR abs/1908.03608 (2019) - [i2]Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
A holistic approach to polyphonic music transcription with neural networks. CoRR abs/1910.12086 (2019) - 2018
- [j18]Juan Ramón Rico-Juan, Antonio Javier Gallego, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Statistical semi-supervised system for grading multiple peer-reviewed open-ended works. Comput. Educ. 126: 264-282 (2018) - [j17]Antonio Javier Gallego, Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation. Pattern Recognit. 74: 531-543 (2018) - [j16]Francisco J. Castellanos, Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan:
Oversampling imbalanced data in the string space. Pattern Recognit. Lett. 103: 32-38 (2018) - [c34]Unai Garay-Maestre, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Data Augmentation via Variational Auto-Encoders. CIARP 2018: 29-37 - [c33]David Rizo, Jorge Calvo-Zaragoza, José M. Iñesta:
MuRET: a music recognition, encoding, and transcription tool. DLfm 2018: 52-56 - [c32]Jan Hajic Jr., Marta Kolárová, Alexander Pacha, Jorge Calvo-Zaragoza:
How current optical music recognition systems are becoming useful for digital libraries. DLfm 2018: 57-61 - [c31]Jorge Calvo-Zaragoza, Alejandro H. Toselli, Enrique Vidal:
Probabilistic Music-Symbol Spotting in Handwritten Scores. ICFHR 2018: 558-563 - [c30]Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts. ISMIR 2018: 34-41 - [c29]Alexander Pacha, Jorge Calvo-Zaragoza:
Optical Music Recognition in Mensural Notation with Region-based Convolutional Neural Networks. ISMIR 2018: 240-247 - [c28]Jorge Calvo-Zaragoza, David Rizo:
Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores. ISMIR 2018: 248-255 - [c27]Francisco J. Castellanos, Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga:
Document Analysis of Music Score Images with Selectional Auto-Encoders. ISMIR 2018: 256-263 - [c26]Gabriel Vigliensoni, Jorge Calvo-Zaragoza, Ichiro Fujinaga:
An Environment for Machine Pedagogy: Learning How to Teach Computers to Read Music. IUI Workshops 2018 - 2017
- [j15]Jorge Calvo-Zaragoza, José Oncina:
Recognition of pen-based music notation with finite-state machines. Expert Syst. Appl. 72: 395-406 (2017) - [j14]Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Staff-line removal with selectional auto-encoders. Expert Syst. Appl. 89: 138-148 (2017) - [j13]Jorge Calvo-Zaragoza, José Oncina, Colin de la Higuera:
Computing the Expected Edit Distance from a String to a Probabilistic Finite-State Automaton. Int. J. Found. Comput. Sci. 28(5): 603-622 (2017) - [j12]Jorge Calvo-Zaragoza, Antonio Pertusa, José Oncina:
Staff-line detection and removal using a convolutional neural network. Mach. Vis. Appl. 28(5-6): 665-674 (2017) - [j11]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Prototype generation on structural data using dissimilarity space representation. Neural Comput. Appl. 28(9): 2415-2424 (2017) - [j10]Jorge Calvo-Zaragoza, José Oncina:
An efficient approach for Interactive Sequential Pattern Recognition. Pattern Recognit. 64: 295-304 (2017) - [j9]Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
An experimental study on rank methods for prototype selection. Soft Comput. 21(19): 5703-5715 (2017) - [j8]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Selecting promising classes from generated data for an efficient multi-class nearest neighbor classification. Soft Comput. 21(20): 6183-6189 (2017) - [c25]Javier Sober-Mira, Jorge Calvo-Zaragoza, David Rizo, José M. Iñesta:
Pen-Based Music Document Transcription with Convolutional Neural Networks. GREC 2017: 71-80 - [c24]Arnau Baró, Pau Riba, Jorge Calvo-Zaragoza, Alicia Fornés:
Optical Music Recognition by Long Short-Term Memory Networks. GREC 2017: 81-95 - [c23]Jorge Calvo-Zaragoza, Jan Hajic Jr., Alexander Pacha:
Discussion Group Summary: Optical Music Recognition. GREC 2017: 152-157 - [c22]Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga:
Staff-Line Detection on Grayscale Images with Pixel Classification. IbPRIA 2017: 279-286 - [c21]Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
A Study of Prototype Selection Algorithms for Nearest Neighbour in Class-Imbalanced Problems. IbPRIA 2017: 335-343 - [c20]Javier Sober-Mira, Jorge Calvo-Zaragoza, David Rizo, José M. Iñesta:
Pen-Based Music Document Transcription. GREC@ICDAR 2017: 21-22 - [c19]Jorge Calvo-Zaragoza, Ke Zhang, Zeyad Saleh, Gabriel Vigliensoni, Ichiro Fujinaga:
Music Document Layout Analysis through Machine Learning and Human Feedback. GREC@ICDAR 2017: 23-24 - [c18]Arnau Baró, Pau Riba, Jorge Calvo-Zaragoza, Alicia Fornés:
Optical Music Recognition by Recurrent Neural Networks. GREC@ICDAR 2017: 25-26 - [c17]Zeyad Saleh, Ke Zhang, Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga:
Pixel.js: Web-Based Pixel Classification Correction Platform for Ground Truth Creation. GREC@ICDAR 2017: 39-40 - [c16]Jorge Calvo-Zaragoza, Antonio Javier Gallego, Antonio Pertusa:
Recognition of Handwritten Music Symbols with Convolutional Neural Codes. ICDAR 2017: 691-696 - [c15]Jorge Calvo-Zaragoza, Alejandro H. Toselli, Enrique Vidal:
Handwritten Music Recognition for Mensural Notation: Formulation, Data and Baseline Results. ICDAR 2017: 1081-1086 - [c14]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Recognition of Handwritten Music Symbols using Meta-features Obtained from Weak Classifiers based on Nearest Neighbor. ICPRAM 2017: 96-104 - [c13]Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga:
Pixelwise classification for music document analysis. IPTA 2017: 1-6 - [c12]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Antonio Pertusa:
End-to-End Optical Music Recognition Using Neural Networks. ISMIR 2017: 472-477 - [c11]Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga:
One-Step Detection of Background, Staff Lines, and Symbols in Medieval Music Manuscripts with Convolutional Neural Networks. ISMIR 2017: 724-730 - [c10]Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga:
Pixel-wise binarization of musical documents with convolutional neural networks. MVA 2017: 362-365 - [i1]Jorge Calvo-Zaragoza, Antonio Javier Gallego Sánchez:
A selectional auto-encoder approach for document image binarization. CoRR abs/1706.10241 (2017) - 2016
- [j7]Jorge Calvo-Zaragoza, Luisa Micó, José Oncina:
Music staff removal with supervised pixel classification. Int. J. Document Anal. Recognit. 19(3): 211-219 (2016) - [j6]Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan:
On the suitability of Prototype Selection methods for kNN classification with distributed data. Neurocomputing 203: 150-160 (2016) - [c9]Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga:
Document Analysis for Music Scores via Machine Learning. DLfm 2016: 37-40 - [c8]Vicente Bosch Campos, Jorge Calvo-Zaragoza, Alejandro H. Toselli, Enrique Vidal-Ruiz:
Sheet Music Statistical Layout Analysis. ICFHR 2016: 313-318 - [c7]Jorge Calvo-Zaragoza, Alejandro H. Toselli, Enrique Vidal:
Early Handwritten Music Recognition with Hidden Markov Models. ICFHR 2016: 319-324 - [c6]Jorge Calvo-Zaragoza, David Rizo, José Manuel Iñesta Quereda:
Two (Note) Heads Are Better Than One: Pen-Based Multimodal Interaction with Music Scores. ISMIR 2016: 509-514 - [c5]Jorge Calvo-Zaragoza, Colin de la Higuera, José Oncina:
Computing the Expected Edit Distance from a String to a PFA. CIAA 2016: 39-50 - 2015
- [j5]Antonio Martínez-Álvarez, Sergio Cuenca-Asensi, Andrés Ortiz, Jorge Calvo-Zaragoza, Luis Alberto Vivas Tejuelo:
Tuning compilations by multi-objective optimization: Application to Apache web server. Appl. Soft Comput. 29: 461-470 (2015) - [j4]Juan Ramón Rico-Juan, Jorge Calvo-Zaragoza:
Improving classification using a Confidence Matrix based on weak classifiers applied to OCR. Neurocomputing 151: 1354-1361 (2015) - [j3]Jorge Calvo-Zaragoza, Isabel Barbancho, Lorenzo J. Tardón, Ana M. Barbancho:
Avoiding staff removal stage in optical music recognition: application to scores written in white mensural notation. Pattern Anal. Appl. 18(4): 933-943 (2015) - [j2]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Improving kNN multi-label classification in Prototype Selection scenarios using class proposals. Pattern Recognit. 48(5): 1608-1622 (2015) - [c4]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Prototype Generation on Structural Data Using Dissimilarity Space Representation: A Case of Study. IbPRIA 2015: 75-82 - [c3]Jorge Calvo-Zaragoza, José Oncina:
Clustering of Strokes from Pen-Based Music Notation: An Experimental Study. IbPRIA 2015: 633-640 - 2014
- [j1]Antonio Martínez-Álvarez, Jorge Calvo-Zaragoza, Sergio Cuenca-Asensi, Andrés Ortiz, Antonio Jimeno-Morenilla:
Multi-objective adaptive evolutionary strategy for tuning compilations. Neurocomputing 123: 381-389 (2014) - [c2]Jorge Calvo-Zaragoza, José Oncina:
Recognition of Pen-Based Music Notation: The HOMUS Dataset. ICPR 2014: 3038-3043 - 2011
- [c1]Jorge Calvo-Zaragoza, David Rizo, José Manuel Iñesta Quereda:
A Distance for Partially Labeled Trees. IbPRIA 2011: 492-499
Coauthor Index
Antonio Javier Gallego 0001
aka: Antonio Javier Gallego Sánchez
aka: Antonio Javier Gallego Sánchez
José Manuel Iñesta Quereda
aka: José M. Iñesta
aka: José M. Iñesta
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