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InÍs Nolasco
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Audio-based identification of beehive states
I Nolasco, A Terenzi, S Cecchi, S Orcioni, HL Bear, E Benetos
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and†…, 2019
742019
To bee or not to bee: Investigating machine learning approaches for beehive sound recognition
I Nolasco, E Benetos
arXiv preprint arXiv:1811.06016, 2018
422018
Towards joint sound scene and polyphonic sound event recognition
HL Bear, I Nolasco, E Benetos
arXiv preprint arXiv:1904.10408, 2019
312019
Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge.
V Morfi, I Nolasco, V Lostanlen, S Singh, A Strandburg-Peshkin, LF Gill, ...
DCASE, 145-149, 2021
242021
Comparison of feature extraction methods for sound-based classification of honey bee activity
A Terenzi, N Ortolani, I Nolasco, E Benetos, S Cecchi
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 112-122, 2021
202021
Few-shot bioacoustic event detection at the DCASE 2022 challenge
I Nolasco, S Singh, E Vidana-Villa, E Grout, J Morford, M Emmerson, ...
arXiv preprint arXiv:2207.07911, 2022
112022
Automated identification of chicken distress vocalizations using deep learning models
A Mao, CSE Giraudet, K Liu, I De Almeida Nolasco, Z Xie, Z Xie, Y Gao, ...
Journal of the Royal Society Interface 19 (191), 20210921, 2022
62022
To bee or not to bee: An annotated dataset for beehive sound recognition
I Nolasco, E Benetos
[Data set], Zenodo, 2018
62018
Learning to detect an animal sound from five examples
I Nolasco, S Singh, V Morfi, V Lostanlen, A Strandburg-Peshkin, ...
Ecological Informatics 77, 102258, 2023
52023
Rank-based loss for learning hierarchical representations
I Nolasco, D Stowell
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and†…, 2022
52022
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Articles 1–10