To bee or not to bee: Investigating machine learning approaches for beehive sound recognition. - Inês Nolasco; Emmanouil Benetos (DCASE, 2018)

To bee or not to bee: An annotated dataset for beehive sound recognition. - Inês Nolasco; Emmanouil Benetos (Zenodo, 2018)

Audio-based Identification of Beehive States. - Inês Nolasco; Alessandro Terenzi; Stefania Cecchi; Simone Orcioni; Helen L. Bear; Emmanouil Benetos (ICASSP, 2019)

Towards Joint Sound Scene and Polyphonic Sound Event Recognition. - Helen L. Bear; Inês Nolasco; Emmanouil Benetos (INTERSPEECH, 2019)

Audio-Based identification of Beehive states: The dataset. - Inês Nolasco; Alessandro Terenzi; Stefania Cecchi; Simone Orcioni; Helen L. Bear; Emmanouil Benetos (Zenodo, 2019)

Audio-Based identification of Beehive states: The dataset. - Inês Nolasco; Alessandro Terenzi; Stefania Cecchi; Simone Orcioni; Helen L. Bear; Emmanouil Benetos (Zenodo, 2019)

Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge. - Veronica Morfi; Inês Nolasco; Vincent Lostanlen; Shubhr Singh; Ariana Strandburg-Peshkin; Lisa F. Gill; Hanna Pamula; David Benvent; Dan Stowell (DCASE, 2021)

Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. - Inês Nolasco; Shubhr Singh; E. Vidaña-Villa; Emily Grout; J. Morford; Michael G. Emmerson; Frants H. Jensen; Ivan Kiskin; Helen Whitehead; Ariana Strandburg-Peshkin; Lisa F. Gill; Hanna Pamula; et al. (DCASE, 2022)

Rank-Based Loss For Learning Hierarchical Representations. - Inês Nolasco; Dan Stowell (ICASSP, 2022)

Comparison of Feature Extraction Methods for Sound-Based Classification of Honey Bee Activity. - Alessandro Terenzi; Nicola Ortolani; Inês Nolasco; Emmanouil Benetos; Stefania Cecchi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Learning to detect an animal sound from five examples. - Inês Nolasco; Shubhr Singh; Veronica Morfi; Vincent Lostanlen; Ariana Strandburg-Peshkin; Ester Vidaña-Vila; Lisa F. Gill; Hanna Pamula; Helen Whitehead; Ivan Kiskin; Frants H. Jensen; Joe Morford; et al. (CoRR, 2023)

Few-shot bioacoustic event detection at the DCASE 2023 challenge. - Inês Nolasco; Burooj Ghani; Shubhr Singh; Ester Vidaña-Vila; Helen Whitehead; Emily Grout; Michael G. Emmerson; Frants H. Jensen; Ivan Kiskin; Joe Morford; Ariana Strandburg-Peshkin; Lisa F. Gill; et al. (CoRR, 2023)

Learning to detect an animal sound from five examples. - Inês Nolasco; Shubhr Singh; Veronica Morfi; Vincent Lostanlen; Ariana Strandburg-Peshkin; Ester Vidaña-Vila; Lisa F. Gill; Hanna Pamula; Helen Whitehead; Ivan Kiskin; Frants H. Jensen; Joe Morford; et al. (Ecol. Informatics, 2023)

Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection. - Jinhua Liang; Inês Nolasco; Burooj Ghani; Huy Phan; Emmanouil Benetos; Dan Stowell (EUSIPCO, 2024)

Acoustic Identification of Individual Animals with Hierarchical Contrastive Learning. - Inês Nolasco; Ilyass Moummad; Dan Stowell; Emmanouil Benetos (ICASSP, 2025)