Bidirectional recurrent neural networks for seismic event detection. - Claire Birnie; Fredrik Hansteen (CoRR, 2020)

An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets. - Claire Birnie; Haithem Jarraya; Fredrik Hansteen (CoRR, 2021)

The potential of self-supervised networks for random noise suppression in seismic data. - Claire Birnie; Matteo Ravasi; Tariq Alkhalifah; Sixiu Liu (CoRR, 2021)

A hybrid approach to seismic deblending: when physics meets self-supervision. - Nick Luiken; Matteo Ravasi; Claire E. Birnie (CoRR, 2022)

Transfer learning for self-supervised, blind-spot seismic denoising. - Claire Birnie; Tariq Alkhalifah (CoRR, 2022)

Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data. - Hanchen Wang 003; Tariq Alkhalifah; Umair bin Waheed; Claire Birnie (IEEE Trans. Geosci. Remote. Sens., 2022)

Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising. - Claire Birnie; Matteo Ravasi (CoRR, 2023)

Joint Microseismic Event Detection and Location with a Detection Transformer. - Yuanyuan Yang; Claire Birnie; Tariq Alkhalifah (CoRR, 2023)

Improving the Generalization of Deep Neural Networks in Seismic Resolution Enhancement. - Haoran Zhang; Tariq Alkhalifah; Yang Liu 143; Claire Birnie; Xi Di (IEEE Geosci. Remote. Sens. Lett., 2023)