A. Pertusa

发表

Melodic track identification in MIDI files

David Rizo, José M. Iñesta, Antonio Pertusa, 2006 .

COMBINING AUDIO AND SYMBOLIC DESCRIPTORS FOR MUSIC CLASSIFICATION FROM AUDIO

T. Lidy, A. Rauber, J. Iñesta, 2007 .

Image Spatial Verification using Segment Intersection of Interest Points

A. Pertusa, M. Bernabeu, Antonio-Javier, 2016 .

COMBINING AUDIO AND SYMBOLIC DESCRIPTORS FOR MUSIC CLASSIFICATION FROM AUDIO

T. Lidy, A. Rauber, J. Iñesta, 2007 .

Representation and discovery of feature set patterns in music

Gerhard Widmer, Preeti Rao, Vishweshwara Rao, 2007 .

Polyphonic music transcription through dynamic networks and spectral pattern identification ∗

J. Iñesta, A. Pertusa, 2003 .

Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features

Antonio Javier Gallego, A. Pertusa, Marisa Bernabeu, 2022, 2205.05419.

Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features

Antonio Javier Gallego, A. Pertusa, Marisa Bernabeu, 2022, ArXiv.

Edinburgh Research Explorer Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders

Robert B. Fisher, Antonio Javier Gallego, P. Gil, 2019 .

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients pdf

Miguel Cazorla, Antonio Pertusa, Maria de la Iglesia-Vayá, 2020, ArXiv.

PadChest: A large chest x-ray image dataset with multi-label annotated reports

Antonio Pertusa, Maria de la Iglesia-Vayá, Aurelia Bustos, 2019, Medical Image Anal..

Multimodal Object Recognition Using Deep Learning Representations Extracted from Images and Smartphone Sensors

Antonio-Javier Gallego, Antonio Pertusa, Javier Ortega Bastida, 2018, CIARP.

A Pattern Recognition Approach for Melody Track Selection in MIDI Files

José Manuel Iñesta Quereda, David Rizo, Carlos Pérez-Sancho, 2006, ISMIR.

Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

Antonio-Javier Gallego, Pablo Gil, Antonio Pertusa, 2018, Remote. Sens..

Polyphonic monotimbral music transcription using dynamic networks

José Manuel Iñesta Quereda, Antonio Pertusa, J. Quereda, 2005, Pattern Recognit. Lett..

Staff-line detection and removal using a convolutional neural network

José Oncina, Jorge Calvo-Zaragoza, Antonio Pertusa, 2017, Machine Vision and Applications.

MirBot, a collaborative object recognition system for smartphones using convolutional neural networks

Antonio Pertusa, Antonio Javier Gallego Sánchez, Marisa Bernabeu, 2017, Neurocomputing.

Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders

Robert B. Fisher, Antonio-Javier Gallego, Antonio Pertusa, 2019, Remote. Sens..

Two-Stage Convolutional Neural Network for Ship and Spill Detection Using SLAR Images

Antonio-Javier Gallego, Pablo Gil, Mario Nieto-Hidalgo, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Segmentation of Oil Spills on Side-Looking Airborne Radar Imagery with Autoencoders

Robert B. Fisher, Antonio-Javier Gallego, Pablo Gil, 2018, Sensors.

Precise Ship Location With CNN Filter Selection From Optical Aerial Images

Antonio-Javier Gallego, Pablo Gil, Antonio Pertusa, 2019, IEEE Access.

A Holistic Approach to Polyphonic Music Transcription with Neural Networks pdf

Jorge Calvo-Zaragoza, Antonio Pertusa, Miguel A. Rom'an, 2019, ISMIR.

Multi-label Logo Classification Using Convolutional Neural Networks

Antonio-Javier Gallego, Antonio Pertusa, Marisa Bernabeu, 2019, IbPRIA.

Note onset detection using one semitone filter-bank for MIREX 2009

José M. Iñesta, Antonio Pertusa, J. Iñesta, 2009 .

Detection of bodies in maritime rescue operations using unmanned aerial vehicles with multispectral cameras

Antonio-Javier Gallego, Pablo Gil, Robert B. Fisher, 2018, J. Field Robotics.

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

Miguel Cazorla, Antonio Pertusa, Germ'an Gonz'alez, 2020, ArXiv.

Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks pdf

Antonio Pertusa, Aurelia Bustos, A. Pertusa, 2018, Applied Sciences.

Learning Eligibility in Clinical Cancer Trials using Deep Neural Networks

Antonio Pertusa, Aurelia Bustos, A. Pertusa, 2018 .

Performance-Based Interpreter Identification in Saxophone Audio Recordings

Esteban Maestre, Antonio Pertusa, Xavier Serra, 2007, IEEE Transactions on Circuits and Systems for Video Technology.

Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming

Rafael Ramírez, Alfonso Pérez, Esteban Maestre, 2006, EvoWorkshops.

A cooperative approach to style-oriented music composition

J. Iñesta, D. Rizo, A. Pertusa, 2022 .

An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts

Jorge Calvo-Zaragoza, Miguel A. Román, Antonio Pertusa, 2018, ISMIR.

A Cartesian Ensemble of Feature Subspace Classifiers for Music Categorization

Andreas Rauber, José Manuel Iñesta Quereda, Rudolf Mayer, 2010, ISMIR.

Data representations for audio-to-score monophonic music transcription

Jorge Calvo-Zaragoza, Miguel A. Román, Antonio Pertusa, 2020, Expert Syst. Appl..

Efficient methods for joint estimation of multiple fundamental frequencies in music signals

José Manuel Iñesta Quereda, Antonio Pertusa, J. Quereda, 2012, EURASIP Journal on Advances in Signal Processing.