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Eva-Marie Nosal
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 5
Top Topics
Linear Predictors
Synthetic Data
Previously Learned
Learning Stage
Top Venues
CoRR
IEEE Trans. Signal Process.
IJCNN
IEEE Trans. Multim.
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Publications
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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
(2023)
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 (2023)
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)
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
(2020)
Jeremy Young
,
Anders Høst-Madsen
,
Eva-Marie Nosal
Deinterleaving of Mixtures of Renewal Processes.
IEEE Trans. Signal Process.
67 (4) (2019)