Computation of common acoustical poles in subbands by means of a clustering technique. - Pedro Zuccarello; Alberto Gonzalez; Juan Domingo 001; Guillermo Ayala (EUSIPCO, 2006)

A novel Bayesian framework for relevance feedback in image content-based retrieval systems. - Esther de Ves; Juan Domingo 001; Guillermo Ayala; Pedro Zuccarello (Pattern Recognit., 2006)

A novel relevance feedback procedure based on logistic regression and owa operator for content-based image retrieval system. - Pedro Zuccarello; Esther de Ves; Teresa León; Guillermo Ayala; Juan Domingo 001 (VISAPP (2), 2007)

Applying logistic regression to relevance feedback in image retrieval systems. - Teresa León; Pedro Zuccarello; Guillermo Ayala; Esther de Ves; Juan Domingo 001 (Pattern Recognit., 2007)

On the Advantages of Asynchronous Pixel Reading and Processing for High-Speed Motion Estimation. - Fernando Pardo; Jose Antonio Boluda; Francisco Vegara; Pedro Zuccarello (ISVC (1), 2008)

Selective Change-Driven Image Processing: A Speeding-Up Strategy. - Jose Antonio Boluda; Francisco Vegara; Fernando Pardo; Pedro Zuccarello (CIARP, 2009)

Selective Change Driven Imaging: A Biomimetic Visual Sensing Strategy. - Jose Antonio Boluda; Pedro Zuccarello; Fernando Pardo; Francisco Vegara (Sensors, 2011)

Advantages of Selective Change-Driven Vision for Resource-Limited Systems. - Fernando Pardo; Pedro Zuccarello; Jose Antonio Boluda; Francisco Vegara (IEEE Trans. Circuits Syst. Video Technol., 2011)

On the Design of Change-driven Data-flow Algorithms and Architectures for High-speed Motion Analysis. - Jose Antonio Boluda; Pedro Zuccarello; Fernando Pardo; Francisco Vegara (ICINCO (1), 2012)

Taking Advantage of Selective Change Driven Processing for 3D Scanning. - Francisco Vegara; Pedro Zuccarello; Jose Antonio Boluda; Fernando Pardo (Sensors, 2013)

IOWA Operators and Its Application to Image Retrieval. - Esther de Ves; Pedro Zuccarello; Teresa León; Guillermo Ayala (S+SSPR, 2014)

DCASE 2019: CNN depth analysis with different channel inputs for Acoustic Scene Classification. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Pedro Zuccarello; Maximo Cobos (CoRR, 2019)

On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Irene Martín-Morató; Pedro Zuccarello; Maximo Cobos (CoRR, 2019)

Anomalous Sound Detection using Unsupervised and Semi-Supervised Autoencoders and Gammatone Audio Representation. - Sergi Perez-Castanos; Javier Naranjo-Alcazar; Pedro Zuccarello; Maximo Cobos (DCASE, 2020)

Listen Carefully and Tell: An Audio Captioning System Based on Residual Learning and Gammatone Audio Representation. - Sergi Perez-Castanos; Javier Naranjo-Alcazar; Pedro Zuccarello; Maximo Cobos (DCASE, 2020)

Acoustic Scene Classification With Squeeze-Excitation Residual Networks. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Pedro Zuccarello; Maximo Cobos (IEEE Access, 2020)

A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Irene Martín-Morató; Pedro Zuccarello; Francesc J. Ferri; Maximo Cobos (IEEE Access, 2020)

An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Pedro Zuccarello; Maximo Cobos (CoRR, 2020)

On the performance of different excitation-residual blocks for Acoustic Scene Classification. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Pedro Zuccarello; Maximo Cobos (CoRR, 2020)

Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Jose Ferrandis; Pedro Zuccarello; Maximo Cobos (CoRR, 2020)

Open Set Audio Classification Using Autoencoders Trained on Few Data. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Pedro Zuccarello; Fabio Antonacci; Maximo Cobos (Sensors, 2020)

Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Maximo Cobos; Francesc J. Ferri; Pedro Zuccarello (DCASE, 2021)

Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Aarón López-García; Pedro Zuccarello; Maximo Cobos; Francesc J. Ferri (CoRR, 2021)

TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Pedro Zuccarello; Francesc J. Ferri; Maximo Cobos (CoRR, 2021)

Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Maximo Cobos; Francesc J. Ferri; Pedro Zuccarello (CoRR, 2021)

DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations. - Josep Zaragoza-Paredes; Javier Naranjo-Alcazar; Valery Naranjo; Pedro Zuccarello (CoRR, 2022)

An Open-Set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Pedro Zuccarello; Ana M. Torres; José J. López; Francesc J. Ferri; Maximo Cobos (Pattern Recognit. Lett., 2022)

Female Mosquito Detection by Means of AI Techniques Inside Release Containers in the Context of a Sterile Insect Technique Program. - Javier Naranjo-Alcazar; Jordi Grau-Haro; David Almenar; Pedro Zuccarello (EUSIPCO, 2024)

Practical aspects for the creation of an audio dataset from field recordings with optimized labeling budget with AI-assisted strategy. - Javier Naranjo-Alcazar; Jordi Grau-Haro; Ruben Ribes-Serrano; Pedro Zuccarello (CoRR, 2024)

Automatic Counting and Classification of Mosquito Eggs in Field Traps. - Javier Naranjo-Alcazar; Jordi Grau-Haro; Pedro Zuccarello; David Almenar; Jesús López Ballester (CoRR, 2024)

AI-Based Automatic Counting and Classification of aedes Mosquito Eggs In Field Traps. - Jordi Grau-Haro; Javier Naranjo-Alcazar; Jesús López Ballester; David Almenar; Pedro Zuccarello (EANN (1), 2025)

A Data-Centric Framework for Machine Listening Projects: Addressing Large-Scale Data Acquisition and Labeling Through Active Learning. - Javier Naranjo-Alcazar; Jordi Grau-Haro; Ruben Ribes-Serrano; Pedro Zuccarello (FICC (1), 2025)

Comparative Study of Spike Encoding Methods for Environmental Sound Classification. - Andres Larroza; Javier Naranjo-Alcazar; Vicent Ortiz Castelló; Pedro Zuccarello (CoRR, 2025)