39 citations · 49 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 39 cited
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation
Reinaldo Mozart Silva, Lais Baroni, Rodrigo S. Ferreira +3
Machine learning and, more specifically, deep learning algorithms have seen remarkable growth in their popularity and usefulness in the last years. This is arguably due to three ma…
physics.geo-ph2019★ 10 cited
Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation
Lais Baroni, Reinaldo Mozart Silva, Rodrigo S. Ferreira +3
We have seen in the past years the flourishing of machine and deep learning algorithms in several applications such as image classification and segmentation, object detection and r…