| Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription System T Lidy, A Rauber, A Pertusa, JMI Quereda ISMIR, 61-66, 2007 | 110 | 2007 |
| Padchest: A large chest x-ray image dataset with multi-label annotated reports A Bustos, A Pertusa, JM Salinas, M de la Iglesia-Vayá Medical image analysis 66, 101797, 2020 | 83 | 2020 |
| Multiple fundamental frequency estimation using Gaussian smoothness A Pertusa, JM Inesta 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 78 | 2008 |
| A Pattern Recognition Approach for Melody Track Selection in MIDI Files. D Rizo, PJP De León, C Pérez-Sancho, A Pertusa, JMI Quereda ISMIR, 61-66, 2006 | 58 | 2006 |
| Automatic ship classification from optical aerial images with convolutional neural networks AJ Gallego, A Pertusa, P Gil Remote Sensing 10 (4), 511, 2018 | 41 | 2018 |
| Shallow parsing for Portuguese-Spanish machine translation A Garrido Alenda, P Gilabert Zarco, JA Pérez-Ortiz, A Pertusa, ... Edições Colibri, 2004 | 38 | 2004 |
| Combining audio and symbolic descriptors for music classification from audio T Lidy, A Rauber, A Pertusa, J Inesta Music Information Retrieval Information Exchange (MIREX), 2007 | 31 | 2007 |
| Performance-based interpreter identification in saxophone audio recordings R Ramirez, E Maestre, A Pertusa, E Gomez, X Serra IEEE Transactions on Circuits and Systems for Video Technology 17 (3), 356-364, 2007 | 26 | 2007 |
| Recognition of note onsets in digital music using semitone bands A Pertusa, A Klapuri, JM Inesta Iberoamerican Congress on Pattern Recognition, 869-879, 2005 | 23 | 2005 |
| 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 | 22 | 2017 |
| A cartesian ensemble of feature subspace classifiers for music categorization T Lidy, R Mayer, A Rauber, PJ Ponce de León Amador, A Pertusa, ... International Society for Music Information Retrieval, 2010 | 22 | 2010 |
| Tree Model of Symbolic Music for Tonality Guessing. D Rizo, JMI Quereda, PJP de León Artificial Intelligence and Applications 2006, 299-304, 2006 | 22 | 2006 |
| Two-stage convolutional neural network for ship and spill detection using SLAR images M Nieto-Hidalgo, AJ Gallego, P Gil, A Pertusa IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5217-5230, 2018 | 21 | 2018 |
| Staff-line detection and removal using a convolutional neural network J Calvo-Zaragoza, A Pertusa, J Oncina Machine Vision and Applications 28 (5), 665-674, 2017 | 21 | 2017 |
| Modelling expressive performance: A regression tree approach based on strongly typed genetic programming A Hazan, R Ramirez, E Maestre, A Perez, A Pertusa Workshops on Applications of Evolutionary Computation, 676-687, 2006 | 21 | 2006 |
| Efficient methods for joint estimation of multiple fundamental frequencies in music signals A Pertusa, JM Iñesta EURASIP Journal on Advances in Signal Processing 2012 (1), 1-13, 2012 | 19 | 2012 |
| BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients MI Vayá, JM Saborit, JA Montell, A Pertusa, A Bustos, M Cazorla, J Galant, ... arXiv preprint arXiv:2006.01174, 2020 | 18 | 2020 |
| Computationally efficient methods for polyphonic music transcription A Pertusa Universidad de Alicante, 2010 | 18 | 2010 |
| Polyphonic monotimbral music transcription using dynamic networks A Pertusa, JM Inesta Pattern Recognition Letters 26 (12), 1809-1818, 2005 | 16 | 2005 |
| Segmentation of oil spills on side-looking airborne radar imagery with autoencoders AJ Gallego, P Gil, A Pertusa, RB Fisher Sensors 18 (3), 797, 2018 | 15 | 2018 |
