Inês Nolasco

Orcid: 0000-0002-7322-7148

According to our database1, Inês Nolasco authored at least 15 papers between 2018 and 2024.

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

Timeline

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2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Acoustic identification of individual animals with hierarchical contrastive learning.
CoRR, 2024

Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Learning to detect an animal sound from five examples.
Ecol. Informatics, November, 2023

Few-shot bioacoustic event detection at the DCASE 2023 challenge.
CoRR, 2023

Learning to detect an animal sound from five examples.
CoRR, 2023

2022
Comparison of Feature Extraction Methods for Sound-Based Classification of Honey Bee Activity.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Rank-Based Loss For Learning Hierarchical Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022

Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021
Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2019
Audio-Based identification of Beehive states: The dataset.
Dataset, February, 2019

Audio-Based identification of Beehive states: The dataset.
Dataset, February, 2019

Towards Joint Sound Scene and Polyphonic Sound Event Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Audio-based Identification of Beehive States.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
To bee or not to bee: An annotated dataset for beehive sound recognition.
Dataset, July, 2018

To bee or not to bee: Investigating machine learning approaches for beehive sound recognition.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018


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