| 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 | 74 | 2019 |
| To bee or not to bee: Investigating machine learning approaches for beehive sound recognition I Nolasco, E Benetos arXiv preprint arXiv:1811.06016, 2018 | 42 | 2018 |
| Towards joint sound scene and polyphonic sound event recognition HL Bear, I Nolasco, E Benetos arXiv preprint arXiv:1904.10408, 2019 | 31 | 2019 |
| 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 | 24 | 2021 |
| 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 | 20 | 2021 |
| 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 | 11 | 2022 |
| 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 | 6 | 2022 |
| To bee or not to bee: An annotated dataset for beehive sound recognition I Nolasco, E Benetos [Data set], Zenodo, 2018 | 6 | 2018 |
| 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 | 5 | 2023 |
| Rank-based loss for learning hierarchical representations I Nolasco, D Stowell ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
Emmanouil BenetosQueen Mary University of London / The Alan Turing InstituteVerified email at qmul.ac.uk
