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Claire Birnie

Claire E. Birnie

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2020 – today

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2023
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  - journals/lgrs/ZhangALBD23
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Haoran Zhang, Tariq Alkhalifah, Yang Liu, Claire Birnie, Xi Di:
Improving the Generalization of Deep Neural Networks in Seismic Resolution Enhancement. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
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  - journals/corr/abs-2307-06682
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Claire Birnie, Matteo Ravasi:
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising. CoRR abs/2307.06682 (2023)
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  - journals/corr/abs-2307-09207
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Yuanyuan Yang, Claire Birnie, Tariq Alkhalifah:
Joint Microseismic Event Detection and Location with a Detection Transformer. CoRR abs/2307.09207 (2023)
2022
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  - journals/tgrs/WangAWB22
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Hanchen Wang, Tariq Alkhalifah, Umair bin Waheed, Claire Birnie:
Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022)
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  - journals/corr/abs-2205-15395
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Nick Luiken, Matteo Ravasi, Claire E. Birnie:
A hybrid approach to seismic deblending: when physics meets self-supervision. CoRR abs/2205.15395 (2022)
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  - journals/corr/abs-2209-12210
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Claire Birnie, Tariq Alkhalifah:
Transfer learning for self-supervised, blind-spot seismic denoising. CoRR abs/2209.12210 (2022)
2021
[i3]
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  - journals/corr/abs-2102-13003
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Claire Birnie, Haithem Jarraya, Fredrik Hansteen:
An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets. CoRR abs/2102.13003 (2021)
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  - journals/corr/abs-2109-07344
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Claire Birnie, Matteo Ravasi, Tariq Alkhalifah, Sixiu Liu:
The potential of self-supervised networks for random noise suppression in seismic data. CoRR abs/2109.07344 (2021)
2020
[i1]
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  - journals/corr/abs-2012-03009
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Claire Birnie, Fredrik Hansteen:
Bidirectional recurrent neural networks for seismic event detection. CoRR abs/2012.03009 (2020)

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