| 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 | 123 | 2018 |
| 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 | 78 | 2015 |
| 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 |
| Efficient k-nearest neighbor search based on clustering and adaptive k values AJ Gallego, JR Rico-Juan, JJ Valero-Mas Pattern recognition 122, 108356, 2022 | 53 | 2022 |
| End-to-end optical music recognition using neural networks J Calvo-Zaragoza, JJ Valero-Mas, A Pertusa Proceedings of the 18th International Society for Music Information …, 2017 | 43 | 2017 |
| Extensions to rank-based prototype selection in k-Nearest Neighbour classification JR Rico-Juan, JJ Valero-Mas, J Calvo-Zaragoza Applied Soft Computing 85, 105803, 2019 | 29 | 2019 |
| Prototype generation on structural data using dissimilarity space representation J Calvo-Zaragoza, JJ Valero-Mas, JR Rico-Juan Neural Computing and Applications 28, 2415-2424, 2017 | 25 | 2017 |
| Statistical semi-supervised system for grading multiple peer-reviewed open-ended works JR Rico-Juan, AJ Gallego, JJ Valero-Mas, J Calvo-Zaragoza Computers & Education 126, 264-282, 2018 | 22 | 2018 |
| On the suitability of Prototype Selection methods for kNN classification with distributed data JJ Valero-Mas, J Calvo-Zaragoza, JR Rico-Juan Neurocomputing 203, 150-160, 2016 | 20 | 2016 |
| An experimental study on rank methods for prototype selection JJ Valero-Mas, J Calvo-Zaragoza, JR Rico-Juan, JM Iñesta Soft Computing 21, 5703-5715, 2017 | 16 | 2017 |
| Exploiting the two-dimensional nature of agnostic music notation for neural optical music recognition M Alfaro-Contreras, JJ Valero-Mas Applied Sciences 11 (8), 3621, 2021 | 12 | 2021 |
| Multilabel Prototype Generation for data reduction in K-Nearest Neighbour classification JJ Valero-Mas, AJ Gallego, P Alonso-Jiménez, X Serra Pattern Recognition 135, 109190, 2023 | 11 | 2023 |
| Decoupling music notation to improve end-to-end Optical Music Recognition M Alfaro-Contreras, A Ríos-Vila, JJ Valero-Mas, JM Iñesta, ... Pattern Recognition Letters 158, 157-163, 2022 | 11 | 2022 |
| Data reduction in the string space for efficient knn classification through space partitioning JJ Valero-Mas, FJ Castellanos Applied Sciences 10 (10), 3356, 2020 | 11 | 2020 |
| Late multimodal fusion for image and audio music transcription M Alfaro-Contreras, JJ Valero-Mas, JM Iñesta, J Calvo-Zaragoza Expert Systems with Applications 216, 119491, 2023 | 10 | 2023 |
| Assessing the relevance of onset information for note tracking in piano music transcription JJ Valero-Mas, E Benetos, JM Iñesta Audio Engineering Society Conference: 2017 AES International Conference on …, 2017 | 9 | 2017 |
| Neural audio-to-score music transcription for unconstrained polyphony using compact output representations V Arroyo, JJ Valero-Mas, J Calvo-Zaragoza, A Pertusa ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
| A supervised classification approach for note tracking in polyphonic piano transcription JJ Valero-Mas, E Benetos, JM Iñesta Journal of New Music Research 47 (3), 249-263, 2018 | 8 | 2018 |
| Prototype generation in the string space via approximate median for data reduction in nearest neighbor classification FJ Castellanos, JJ Valero-Mas, J Calvo-Zaragoza Soft Computing 25 (24), 15403-15415, 2021 | 7 | 2021 |
| Data augmentation for end-to-end optical music recognition JC López-Gutiérrez, JJ Valero-Mas, FJ Castellanos, J Calvo-Zaragoza International Conference on Document Analysis and Recognition, 59-73, 2021 | 7 | 2021 |
Jorge Calvo-ZaragozaUniversidad de AlicanteVerified email at dlsi.ua.es
