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Antonio Pertusa
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- affiliation: University of Alicante, Spain
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2020 – today
- 2024
- [j19]Marisa Bernabeu, Antonio Javier Gallego, Antonio Pertusa:
Multi-label logo recognition and retrieval based on weighted fusion of neural features. Expert Syst. J. Knowl. Eng. 41(10) (2024) - [j18]Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa:
Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study. Pattern Anal. Appl. 27(3): 69 (2024) - [j17]Antonio Javier Gallego, Manuel J. Marín-Jiménez, Raquel Justo, Hélder Oliveira, Antonio Pertusa:
Guest Editorial: Special issue on IbPRIA 2023. Pattern Anal. Appl. 27(3): 91 (2024) - [j16]Antonio Javier Gallego, Manuel J. Marín-Jiménez, Raquel Justo, Hélder Oliveira, Antonio Pertusa:
Editorial: Special session on IbPRIA 2023. Pattern Recognit. Lett. 184: 238 (2024) - [c20]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 - [i8]Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa:
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study. CoRR abs/2401.10129 (2024) - 2023
- [c19]Alejandro Galán-Cuenca, Miguel Mirón, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa:
Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets. IbPRIA 2023: 507-519 - [e1]Antonio Pertusa, Antonio Javier Gallego, Joan-Andreu Sánchez, Inês Domingues:
Pattern Recognition and Image Analysis - 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27-30, 2023, Proceedings. Lecture Notes in Computer Science 14062, Springer 2023, ISBN 978-3-031-36615-4 [contents] - [d4]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Marisa Caparrós-Redondo, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part I. IEEE DataPort, 2023 - [d3]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Marisa Caparrós-Redondo, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part II. IEEE DataPort, 2023 - 2022
- [c18]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 - [i7]Marisa Bernabeu, Antonio Javier Gallego, Antonio Pertusa:
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features. CoRR abs/2205.05419 (2022) - 2021
- [d2]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas:
BIMCV COVID-19-: a large annotated dataset of RX and CT images from COVID-19 patients. IEEE DataPort, 2021 - [d1]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. IEEE DataPort, 2021 - 2020
- [j15]Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
Data representations for audio-to-score monophonic music transcription. Expert Syst. Appl. 162: 113769 (2020) - [j14]Aurelia Bustos, Antonio Pertusa, José María Salinas, María de la Iglesia-Vayá:
PadChest: A large chest x-ray image dataset with multi-label annotated reports. Medical Image Anal. 66: 101797 (2020) - [j13]Manuel J. Marín-Jiménez, Aythami Morales, Julian Fiérrez, Antonio Pertusa, Hugo Proença, José Salvador Sánchez:
Editorial for special section at Pattern Recognition Letters - IbPRIA 2019. Pattern Recognit. Lett. 133: 365 (2020) - [i6]María de la Iglesia-Vayá, José Manuel Saborit, Joaquim Angel Montell-Serrano, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. CoRR abs/2006.01174 (2020) - [i5]Germán González, Aurelia Bustos, José María Salinas, María de la Iglesia-Vayá, Joaquin Galant, Carlos Cano-Espinosa, Xavier Barber, Domingo Orozco-Beltrán, Miguel Cazorla, Antonio Pertusa:
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays. CoRR abs/2006.05274 (2020)
2010 – 2019
- 2019
- [j12]Samer Alashhab, Antonio Javier Gallego, Antonio Pertusa, Pablo Gil:
Precise Ship Location With CNN Filter Selection From Optical Aerial Images. IEEE Access 7: 96567-96582 (2019) - [j11]Antonio Javier Gallego, Antonio Pertusa, Pablo Gil, Robert B. Fisher:
Detection of bodies in maritime rescue operations using unmanned aerial vehicles with multispectral cameras. J. Field Robotics 36(4): 782-796 (2019) - [j10]Antonio Javier Gallego, Pablo Gil, Antonio Pertusa, Robert B. Fisher:
Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders. Remote. Sens. 11(12): 1402 (2019) - [c17]Antonio Javier Gallego, Antonio Pertusa, Marisa Bernabeu:
Multi-label Logo Classification Using Convolutional Neural Networks. IbPRIA (1) 2019: 485-497 - [c16]Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
A Holistic Approach to Polyphonic Music Transcription with Neural Networks. ISMIR 2019: 731-737 - [i4]Aurelia Bustos, Antonio Pertusa, José María Salinas, María de la Iglesia-Vayá:
PadChest: A large chest x-ray image dataset with multi-label annotated reports. CoRR abs/1901.07441 (2019) - [i3]Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
A holistic approach to polyphonic music transcription with neural networks. CoRR abs/1910.12086 (2019) - 2018
- [j9]Antonio Pertusa, Antonio Javier Gallego, Marisa Bernabeu:
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks. Neurocomputing 293: 87-99 (2018) - [j8]Antonio Javier Gallego, Antonio Pertusa, Pablo Gil:
Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks. Remote. Sens. 10(4): 511 (2018) - [j7]Antonio Javier Gallego, Pablo Gil, Antonio Pertusa, Robert B. Fisher:
Segmentation of Oil Spills on Side-Looking Airborne Radar Imagery with Autoencoders. Sensors 18(3): 797 (2018) - [j6]Mario Nieto-Hidalgo, Antonio Javier Gallego, Pablo Gil, Antonio Pertusa:
Two-Stage Convolutional Neural Network for Ship and Spill Detection Using SLAR Images. IEEE Trans. Geosci. Remote. Sens. 56(9): 5217-5230 (2018) - [c15]Javier Ortega Bastida, Antonio Javier Gallego, Antonio Pertusa:
Multimodal Object Recognition Using Deep Learning Representations Extracted from Images and Smartphone Sensors. CIARP 2018: 521-529 - [c14]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 - [i2]Aurelia Bustos, Antonio Pertusa:
Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks. CoRR abs/1803.08312 (2018) - 2017
- [j5]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) - [c13]Jorge Calvo-Zaragoza, Antonio Javier Gallego, Antonio Pertusa:
Recognition of Handwritten Music Symbols with Convolutional Neural Codes. ICDAR 2017: 691-696 - [c12]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Antonio Pertusa:
End-to-End Optical Music Recognition Using Neural Networks. ISMIR 2017: 472-477 - [i1]Antonio Pertusa, Antonio Javier Gallego Sánchez, Marisa Bernabeu:
MirBot, a collaborative object recognition system for smartphones using convolutional neural networks. CoRR abs/1706.02889 (2017) - 2013
- [c11]Antonio Pertusa, Antonio Javier Gallego Sánchez, Marisa Bernabeu:
MirBot: A Multimodal Interactive Image Retrieval System. IbPRIA 2013: 197-204 - [c10]Hanna C. B. Piccoli, Carlos Nascimento Silla Jr., Pedro J. Ponce de León, Antonio Pertusa:
An Evaluation of Symbolic Feature Sets and Their Combination for Music Genre Classification. SMC 2013: 1901-1905 - 2012
- [j4]Antonio Pertusa, José Manuel Iñesta Quereda:
Efficient methods for joint estimation of multiple fundamental frequencies in music signals. EURASIP J. Adv. Signal Process. 2012: 27 (2012) - 2011
- [c9]Tomás Pérez-García, José Manuel Iñesta Quereda, Pedro J. Ponce de León, Antonio Pertusa:
A multimodal music transcription prototype: first steps in an interactive prototype development. ICMI 2011: 315-318 - 2010
- [c8]Thomas Lidy, Rudolf Mayer, Andreas Rauber, Pedro J. Ponce de León, Antonio Pertusa, José Manuel Iñesta Quereda:
A Cartesian Ensemble of Feature Subspace Classifiers for Music Categorization. ISMIR 2010: 279-284
2000 – 2009
- 2008
- [c7]Antonio Pertusa, José Manuel Iñesta Quereda:
Multiple fundamental frequency estimation using Gaussian smoothness. ICASSP 2008: 105-108 - 2007
- [j3]Rafael Ramírez, Esteban Maestre, Antonio Pertusa, Emilia Gómez, Xavier Serra:
Performance-Based Interpreter Identification in Saxophone Audio Recordings. IEEE Trans. Circuits Syst. Video Technol. 17(3): 356-364 (2007) - [c6]Thomas Lidy, Andreas Rauber, Antonio Pertusa, José Manuel Iñesta Quereda:
Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription Systems. ISMIR 2007: 61-66 - 2006
- [c5]Amaury Hazan, Rafael Ramírez, Esteban Maestre, Alfonso Pérez, Antonio Pertusa:
Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming. EvoWorkshops 2006: 676-687 - [c4]David Rizo, Pedro J. Ponce de León, Antonio Pertusa, Carlos Pérez-Sancho, José Manuel Iñesta Quereda:
Melody Track Identification in Music Symbolic Files. FLAIRS 2006: 254-259 - [c3]David Rizo, Pedro J. Ponce de León, Carlos Pérez-Sancho, Antonio Pertusa, José Manuel Iñesta Quereda:
A Pattern Recognition Approach for Melody Track Selection in MIDI Files. ISMIR 2006: 61-66 - 2005
- [j2]Antonio Pertusa, José Manuel Iñesta Quereda:
Polyphonic monotimbral music transcription using dynamic networks. Pattern Recognit. Lett. 26(12): 1809-1818 (2005) - [c2]Antonio Pertusa, Anssi Klapuri, José Manuel Iñesta Quereda:
Recognition of Note Onsets in Digital Music Using Semitone Bands. CIARP 2005: 869-879 - 2004
- [c1]Antonio Pertusa, José Manuel Iñesta Quereda:
Pattern Recognition Algorithms for Polyphonic Music Transcription. PRIS 2004: 80-89 - 2003
- [j1]Patricia Gilabert Zarco, Javier Herrero Vicente, Sergio Ortiz-Rojas, Antonio Pertusa Ibánez, Gema Ramírez-Sánchez, Felipe Sánchez-Martínez, Marcial Samper Asensio, Miriam A. Scalco, Mikel L. Forcada:
Construcción rápida de un sistema de traducción automática español-portugués partiendo de un sistema español-catalán. Proces. del Leng. Natural 31 (2003)
Coauthor Index
aka: Antonio Javier Gallego Sánchez
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last updated on 2024-11-07 20:35 CET by the dblp team
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