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Javier Naranjo-Alcazar
Javier Naranjo-Alcazar
Senior Data Scientist at ITI
Verified email at alumni.uv.es - Homepage
Title
Cited by
Cited by
Year
Acoustic scene classification with squeeze-excitation residual networks
J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, M Cobos
IEEE Access 8, 112287-112296, 2020
462020
A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification
J Naranjo-Alcazar, S Perez-Castanos, I Martín-Morató, P Zuccarello, ...
IEEE Access 8, 188875-188882, 2020
20*2020
Open set audio classification using autoencoders trained on few data
J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, F Antonacci, ...
Sensors 20 (13), 3741, 2020
162020
Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation
S Perez-Castanos, J Naranjo-Alcazar, P Zuccarello, M Cobos
arXiv preprint arXiv:2006.15406, 2020
15*2020
Anomalous Sound Detection using unsupervised and semi-supervised autoencoders and gammatone audio representation
S Perez-Castanos, J Naranjo-Alcazar, P Zuccarello, M Cobos
arXiv preprint arXiv:2006.15321, 2020
152020
CNN depth analysis with different channel inputs for Acoustic Scene Classification
S Perez-Castanos, J Naranjo-Alcazar, P Zuccarello, M Cobos, FJ Ferri
arXiv preprint arXiv:1906.04591, 2019
152019
An open-set recognition and few-shot learning dataset for audio event classification in domestic environments
J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, AM Torres, JJ Lopez, ...
Pattern Recognition Letters 164, 40-45, 2022
132022
Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs
J Naranjo-Alcazar, S Perez-Castanos, J Ferrandis, P Zuccarello, M Cobos
arXiv preprint arXiv:2006.14436, 2020
92020
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
J Naranjo-Alcazar, S Perez-Castanos, A Lopez-Garcia, P Zuccarello, ...
arXiv preprint arXiv:2107.13180, 2021
52021
Task 1 DCASE 2020: ASC with mismatch devices and reduced size model using residual squeezeexcitation CNNs
J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, M Cobos
DCASE2020 Challenge, Tech. Rep, Tech. Rep, 2020
42020
TASK 1A DCASE 2021: ACOUSTIC SCENE CLASSIFICATION WITH MISMATCH-DEVICES USING SQUEEZE-EXCITATION TECHNIQUE AND LOW-COMPLEXITY CONSTRAINT
J Naranjo-Alcazar, S Perez-Castanos, M Cobos, FJ Ferri, P Zuccarello
32021
Task 1B DCASE 2021: Audio-visual scene classification with squeeze-excitation convolutional recurrent neural networks
J Naranjo-Alcazar, S Perez-Castanos, M Cobos, FJ Ferri, P Zuccarello
DCASE2021 Challenge, Tech. Rep, 2021
22021
TASK 3 DCASE 2020: SOUND EVENT LOCALIZATION AND DETECTION USING RESIDUAL SQUEEZE-EXCITATION CNNS
J Naranjo-Alcazar, S Perez-Castanos, J Ferrandis, P Zuccarello, M Cobos, ...
22020
TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs
J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, FJ Ferri, M Cobos
arXiv preprint arXiv:2107.14561, 2021
12021
Performance analysis of audio event classification using deep features under adverse acoustic conditions
I MARTÍN-MORATÓ, M COBOS, FJ FERRI, J NARANJO-ALCAZAR
12019
Automatic Counting and Classification of Mosquito Eggs in Field Traps
J Naranjo-Alcazar, J Grau-Haro, P Zuccarello, D Almenar, ...
arXiv preprint arXiv:2405.20656, 2024
2024
Practical aspects for the creation of an audio dataset from field recordings with optimized labeling budget with AI-assisted strategy
J Naranjo-Alcazar, J Grau-Haro, R Ribes-Serrano, P Zuccarello
arXiv preprint arXiv:2405.18153, 2024
2024
Female mosquito detection by means of AI techniques inside release containers in the context of a Sterile Insect Technique program
J Naranjo-Alcazar, J Grau-Haro, D Almenar, P Zuccarello
arXiv preprint arXiv:2306.10843, 2023
2023
DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations
J Zaragoza-Paredes, J Naranjo-Alcazar, V Naranjo, P Zuccarello
arXiv preprint arXiv:2206.08007, 2022
2022
Classification of Sound Scenes and Events in Real-World Scenarios with Deep Learning Techniques
J Naranjo Alcázar
Universitat de València, 2021
2021
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