Javier Naranjo-Alcazar

Orcid: 0000-0001-7503-1272

According to our database1, Javier Naranjo-Alcazar authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automatic Counting and Classification of Mosquito Eggs in Field Traps.
CoRR, 2024

Practical aspects for the creation of an audio dataset from field recordings with optimized labeling budget with AI-assisted strategy.
CoRR, 2024

Female Mosquito Detection by Means of AI Techniques Inside Release Containers in the Context of a Sterile Insect Technique Program.
Proceedings of the 32nd European Signal Processing Conference, 2024

2022
An Open-Set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments.
Pattern Recognit. Lett., 2022

DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations.
CoRR, 2022

2021
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint.
CoRR, 2021

TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs.
CoRR, 2021

Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification.
CoRR, 2021

Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020
Open Set Audio Classification Using Autoencoders Trained on Few Data.
Sensors, 2020

Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs.
CoRR, 2020

On the performance of different excitation-residual blocks for Acoustic Scene Classification.
CoRR, 2020

An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments.
CoRR, 2020

A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification.
IEEE Access, 2020

Acoustic Scene Classification With Squeeze-Excitation Residual Networks.
IEEE Access, 2020

Listen Carefully and Tell: An Audio Captioning System Based on Residual Learning and Gammatone Audio Representation.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Anomalous Sound Detection using Unsupervised and Semi-Supervised Autoencoders and Gammatone Audio Representation.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification.
CoRR, 2019

DCASE 2019: CNN depth analysis with different channel inputs for Acoustic Scene Classification.
CoRR, 2019


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