Inês Nolasco

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Active Database Management Systems

Temporal Segmentation

Event Detection

Machine Learning Approaches

Top Venues

Publications

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, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Burooj Ghani, Dan Stowell
Learning to detect an animal sound from five examples. Ecol. Informatics 77 (2023)
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, Hanna Pamula, Vincent Lostanlen, Dan Stowell
Few-shot bioacoustic event detection at the DCASE 2023 challenge. CoRR (2023)
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, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Dan Stowell
Learning to detect an animal sound from five examples. CoRR (2023)
Inês Nolasco, Dan Stowell
Rank-Based Loss For Learning Hierarchical Representations. ICASSP (2022)
Alessandro Terenzi, Nicola Ortolani, Inês Nolasco, Emmanouil Benetos, Stefania Cecchi
Comparison of Feature Extraction Methods for Sound-Based Classification of Honey Bee Activity. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Inês Nolasco, Shubhr Singh, E. Vidaña-Villa, E. Grout, J. Morford, M. G. Emmerson, F. H. Jensen, Ivan Kiskin, H. Whitehead, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell
Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. DCASE (2022)
Inês Nolasco, S. Singh, E. Vidana-Villa, E. Grout, J. Morford, M. Emmerson, F. Jensens, H. Whitehead, I. Kiskin, Ariana Strandburg-Peshkin, L. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell
Few-shot bioacoustic event detection at the DCASE 2022 challenge. CoRR (2022)
Veronica Morfi, Inês Nolasco, Vincent Lostanlen, Shubhr Singh, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, David Benvent, Dan Stowell
Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge. DCASE (2021)
Inês Nolasco, Dan Stowell
Rank-based loss for learning hierarchical representations. CoRR (2021)
Helen L. Bear, Inês Nolasco, Emmanouil Benetos
Towards joint sound scene and polyphonic sound event recognition. CoRR (2019)
Helen L. Bear, Inês Nolasco, Emmanouil Benetos
Towards Joint Sound Scene and Polyphonic Sound Event Recognition. INTERSPEECH (2019)
Inês Nolasco, Alessandro Terenzi, Stefania Cecchi, Simone Orcioni, Helen L. Bear, Emmanouil Benetos
Audio-based Identification of Beehive States. ICASSP (2019)
Inês Nolasco, Alessandro Terenzi, Stefania Cecchi, Simone Orcioni, Helen L. Bear, Emmanouil Benetos
Audio-based identification of beehive states. CoRR (2018)
Inês Nolasco, Emmanouil Benetos
To bee or not to bee: Investigating machine learning approaches for beehive sound recognition. CoRR (2018)
Inês Nolasco, Emmanouil Benetos
To bee or not to bee: Investigating machine learning approaches for beehive sound recognition. DCASE (2018)