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)

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)

Towards Explainable AI Validation in Industry 4.0: A Fuzzy Cognitive Map-based Evaluation Framework for Assessing Business Value. - Zoumpolia Dikopoulou; Eleni Lavasa; Sergi Perez-Castanos; David Monzo; Serafeim P. Moustakidis (ICE/ITMC, 2023)

Industrial Asset Management and Secure Sharing for an XAI Manufacturing Platform. - Sangeetha Reji; Jonas Hetterich; Stamatis Pitsios; Vasilis Gkolemi; Sergi Perez-Castanos; Minas Pertselakis (ICE/ITMC, 2023)