Construcción rápida de un sistema de traducción automática español-portugués partiendo de un sistema español-catalán. - 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 (Proces. del Leng. Natural, 2003)

Pattern Recognition Algorithms for Polyphonic Music Transcription. - Antonio Pertusa; José Manuel Iñesta Quereda (PRIS, 2004)

Recognition of Note Onsets in Digital Music Using Semitone Bands. - Antonio Pertusa; Anssi Klapuri; José Manuel Iñesta Quereda (CIARP, 2005)

Polyphonic monotimbral music transcription using dynamic networks. - Antonio Pertusa; José Manuel Iñesta Quereda (Pattern Recognit. Lett., 2005)

Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming. - Amaury Hazan; Rafael Ramírez 001; Esteban Maestre; Alfonso Pérez; Antonio Pertusa (EvoWorkshops, 2006)

Melody Track Identification in Music Symbolic Files. - David Rizo; Pedro J. Ponce de León; Antonio Pertusa; Carlos Pérez-Sancho; José Manuel Iñesta Quereda (FLAIRS, 2006)

A Pattern Recognition Approach for Melody Track Selection in MIDI Files. - David Rizo; Pedro J. Ponce de León; Carlos Pérez-Sancho; Antonio Pertusa; José Manuel Iñesta Quereda (ISMIR, 2006)

Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription Systems. - Thomas Lidy; Andreas Rauber; Antonio Pertusa; José Manuel Iñesta Quereda (ISMIR, 2007)

Performance-Based Interpreter Identification in Saxophone Audio Recordings. - Rafael Ramírez 001; Esteban Maestre; Antonio Pertusa; Emilia Gómez; Xavier Serra (IEEE Trans. Circuits Syst. Video Technol., 2007)

Multiple fundamental frequency estimation using Gaussian smoothness. - Antonio Pertusa; José Manuel Iñesta Quereda (ICASSP, 2008)

A Cartesian Ensemble of Feature Subspace Classifiers for Music Categorization. - Thomas Lidy; Rudolf Mayer; Andreas Rauber; Pedro J. Ponce de León; Antonio Pertusa; José Manuel Iñesta Quereda (ISMIR, 2010)

A multimodal music transcription prototype: first steps in an interactive prototype development. - Tomás Pérez-García; José Manuel Iñesta Quereda; Pedro J. Ponce de León; Antonio Pertusa (ICMI, 2011)

Efficient methods for joint estimation of multiple fundamental frequencies in music signals. - Antonio Pertusa; José Manuel Iñesta Quereda (EURASIP J. Adv. Signal Process., 2012)

MirBot: A Multimodal Interactive Image Retrieval System. - Antonio Pertusa; Antonio Javier Gallego Sánchez; Marisa Bernabeu (IbPRIA, 2013)

An Evaluation of Symbolic Feature Sets and Their Combination for Music Genre Classification. - Hanna C. B. Piccoli; Carlos Nascimento Silla Jr.; Pedro J. Ponce de León; Antonio Pertusa (SMC, 2013)

Recognition of Handwritten Music Symbols with Convolutional Neural Codes. - Jorge Calvo-Zaragoza; Antonio Javier Gallego 001; Antonio Pertusa (ICDAR, 2017)

End-to-End Optical Music Recognition Using Neural Networks. - Jorge Calvo-Zaragoza; Jose J. Valero-Mas; Antonio Pertusa (ISMIR, 2017)

Staff-line detection and removal using a convolutional neural network. - Jorge Calvo-Zaragoza; Antonio Pertusa; José Oncina (Mach. Vis. Appl., 2017)

Multimodal Object Recognition Using Deep Learning Representations Extracted from Images and Smartphone Sensors. - Javier Ortega Bastida; Antonio Javier Gallego 001; Antonio Pertusa (CIARP, 2018)

An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts. - Miguel A. Román; Antonio Pertusa; Jorge Calvo-Zaragoza (ISMIR, 2018)

Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks. - Aurelia Bustos; Antonio Pertusa (CoRR, 2018)

MirBot: A collaborative object recognition system for smartphones using convolutional neural networks. - Antonio Pertusa; Antonio Javier Gallego 001; Marisa Bernabeu (Neurocomputing, 2018)

Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks. - Antonio Javier Gallego 001; Antonio Pertusa; Pablo Gil (Remote. Sens., 2018)

Segmentation of Oil Spills on Side-Looking Airborne Radar Imagery with Autoencoders. - Antonio Javier Gallego 001; Pablo Gil; Antonio Pertusa; Robert B. Fisher (Sensors, 2018)

Two-Stage Convolutional Neural Network for Ship and Spill Detection Using SLAR Images. - Mario Nieto-Hidalgo; Antonio Javier Gallego 001; Pablo Gil; Antonio Pertusa (IEEE Trans. Geosci. Remote. Sens., 2018)

Multi-label Logo Classification Using Convolutional Neural Networks. - Antonio Javier Gallego 001; Antonio Pertusa; Marisa Bernabeu (IbPRIA (1), 2019)

A Holistic Approach to Polyphonic Music Transcription with Neural Networks. - Miguel A. Román; Antonio Pertusa; Jorge Calvo-Zaragoza (ISMIR, 2019)

Precise Ship Location With CNN Filter Selection From Optical Aerial Images. - Samer Alashhab; Antonio Javier Gallego 001; Antonio Pertusa; Pablo Gil (IEEE Access, 2019)

Detection of bodies in maritime rescue operations using unmanned aerial vehicles with multispectral cameras. - Antonio Javier Gallego 001; Antonio Pertusa; Pablo Gil; Robert B. Fisher (J. Field Robotics, 2019)

Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders. - Antonio Javier Gallego 001; Pablo Gil; Antonio Pertusa; Robert B. Fisher (Remote. Sens., 2019)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. - 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 002; Marisa Caparrós-Redondo; Germán González; et al. (CoRR, 2020)

UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays. - 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 (CoRR, 2020)

Data representations for audio-to-score monophonic music transcription. - Miguel A. Román; Antonio Pertusa; Jorge Calvo-Zaragoza (Expert Syst. Appl., 2020)

PadChest: A large chest x-ray image dataset with multi-label annotated reports. - Aurelia Bustos; Antonio Pertusa; José María Salinas; María de la Iglesia-Vayá (Medical Image Anal., 2020)

Editorial for special section at Pattern Recognition Letters - IbPRIA 2019. - Manuel J. Marín-Jiménez; Aythami Morales; Julian Fiérrez; Antonio Pertusa; Hugo Proença 001; José Salvador Sánchez 001 (Pattern Recognit. Lett., 2020)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. - 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 002; Marisa Caparrós-Redondo; et al. (IEEE DataPort, 2021)

BIMCV COVID-19-: a large annotated dataset of RX and CT images from COVID-19 patients. - 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 002; Marisa Caparrós-Redondo; et al. (IEEE DataPort, 2021)

Neural Audio-To-Score Music Transcription For Unconstrained Polyphony Using Compact Output Representations. - Víctor Arroyo; Jose J. Valero-Mas; Jorge Calvo-Zaragoza; Antonio Pertusa (ICASSP, 2022)

Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets. - Alejandro Galán-Cuenca; Miguel Mirón; Antonio Javier Gallego 001; Marcelo Saval-Calvo; Antonio Pertusa (IbPRIA, 2023)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part I. - 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 002; et al. (IEEE DataPort, 2023)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part II. - 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 002; et al. (IEEE DataPort, 2023)

MUSCAT: A Multimodal mUSic Collection for Automatic Transcription of Real Recordings and Image Scores. - Alejandro Galán-Cuenca; Jose J. Valero-Mas; Juan C. Martinez-Sevilla; Antonio Hidalgo-Centeno; Antonio Pertusa; Jorge Calvo-Zaragoza (ACM Multimedia, 2024)

PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation. - Daniel C. Castro; Aurelia Bustos; Shruthi Bannur; Stephanie L. Hyland; Kenza Bouzid; Maria Teodora Wetscherek; M. Sánchez-Valverde; Lara Jaques-Pérez; Lourdes Pérez-Rodríguez; Kenji Takeda; José María Salinas; Javier Alvarez-Valle; et al. (CoRR, 2024)

Editorial: Special session on IbPRIA 2023. - Antonio Javier Gallego 001; Manuel J. Marín-Jiménez; Raquel Justo; Hélder Oliveira; Antonio Pertusa (Pattern Recognit. Lett., 2024)

Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study. - Alejandro Galán-Cuenca; Antonio Javier Gallego 001; Marcelo Saval-Calvo; Antonio Pertusa (Pattern Anal. Appl., 2024)

Guest Editorial: Special issue on IbPRIA 2023. - Antonio Javier Gallego 001; Manuel J. Marín-Jiménez; Raquel Justo; Hélder Oliveira; Antonio Pertusa (Pattern Anal. Appl., 2024)

Multi-label logo recognition and retrieval based on weighted fusion of neural features. - Marisa Bernabeu; Antonio Javier Gallego 001; Antonio Pertusa (Expert Syst. J. Knowl. Eng., 2024)