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Eva-Marie Nosal

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2020 – today

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2023
[j2]
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  - journals/tmm/LiRKFGNSL23
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  - https://dblp.org/rec/journals/tmm/LiRKFGNSL23
Pu Li, Marie A. Roch, Holger Klinck, Erica Fleishman, Douglas Gillespie, Eva-Marie Nosal, Yu Shiu, Xiaobai Liu:
Learning Stage-Wise GANs for Whistle Extraction in Time-Frequency Spectrograms. IEEE Trans. Multim. 25: 9302-9314 (2023)
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Pu Li, Marie A. Roch, Holger Klinck, Erica Fleishman, Douglas Gillespie, Eva-Marie Nosal, Yu Shiu, Xiaobai Liu:
Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms. CoRR abs/2304.02714 (2023)
2020
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Pu Li, Xiaobai Liu, K. J. Palmer, Erica Fleishman, Douglas Gillespie, Eva-Marie Nosal, Yu Shiu, Holger Klinck, Danielle Cholewiak, Tyler A. Helble, Marie A. Roch:
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours. IJCNN 2020: 1-10
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  - journals/corr/abs-2005-08894
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Pu Li, Xiaobai Liu, K. J. Palmer, Erica Fleishman, Douglas Gillespie, Eva-Marie Nosal, Yu Shiu, Holger Klinck, Danielle Cholewiak, Tyler A. Helble, Marie A. Roch:
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours. CoRR abs/2005.08894 (2020)

2010 – 2019

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2019
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Jeremy Young, Anders Høst-Madsen, Eva-Marie Nosal:
Deinterleaving of Mixtures of Renewal Processes. IEEE Trans. Signal Process. 67(4): 885-898 (2019)

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