| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A geologically-constrained deep learning algorithm for recognizing geochemical anomalies
|
Zhang, Chunjie
|
|
|
162 |
C |
p.
|
article
|
| 2 |
A Matlab script for the morphometric analysis of subaerial, subaquatic and extra-terrestrial rivers, channels and canyons
|
Hasenhündl, Martin
|
|
|
162 |
C |
p.
|
article
|
| 3 |
AnalyZr: A Python application for zircon grain image segmentation and shape analysis
|
Scharf, T.
|
|
|
162 |
C |
p.
|
article
|
| 4 |
A new approach considering temporal correlations for GPS campaign time series
|
Duman, Huseyin
|
|
|
162 |
C |
p.
|
article
|
| 5 |
APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
|
Rivillas-Ospina, German
|
|
|
162 |
C |
p.
|
article
|
| 6 |
Automatic identification of semi-tracks on apatite and mica using a deep learning method
|
Li, Rongyan
|
|
|
162 |
C |
p.
|
article
|
| 7 |
Core box image recognition and its improvement with a new augmentation technique
|
Baraboshkin, Evgeny E.
|
|
|
162 |
C |
p.
|
article
|
| 8 |
Generating unrepresented proportions of geological facies using Generative Adversarial Networks
|
Abdellatif, Alhasan
|
|
|
162 |
C |
p.
|
article
|
| 9 |
Increasing the interoperability of snow/ice hyperspectral observations
|
Di Franco, Sabina
|
|
|
162 |
C |
p.
|
article
|
| 10 |
Laudatio for Prof. Philippe Renard, recipient of the IAMG John Cedric Griffiths Teaching Award
|
Mariethoz, Gregoire
|
|
|
162 |
C |
p.
|
article
|
| 11 |
MTH5: An archive and exchangeable data format for magnetotelluric time series data
|
Peacock, Jared
|
|
|
162 |
C |
p.
|
article
|
| 12 |
Prediction of diffusional conductance in extracted pore network models using convolutional neural networks
|
Misaghian, Niloo
|
|
|
162 |
C |
p.
|
article
|
| 13 |
Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks
|
de Jong, Kor
|
|
|
162 |
C |
p.
|
article
|
Journal description