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2004.09140
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Recurrent Convolutional Neural Networks help to predict location of Earthquakes
20 April 2020
Roma Kail
Alexey Zaytsev
Evgeny Burnaev
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Papers citing
"Recurrent Convolutional Neural Networks help to predict location of Earthquakes"
7 / 7 papers shown
Title
Long-term drought prediction using deep neural networks based on geospatial weather data
Alexander Marusov
Vsevolod Grabar
Yury Maximov
Nazar Sotiriadi
Alexander Bulkin
Alexey Zaytsev
102
10
0
12 Sep 2023
Correcting sampling biases via importance reweighting for spatial modeling
Boris Prokhorov
Diana Koldasbayeva
Alexey Zaytsev
59
0
0
09 Sep 2023
Predicting spatial distribution of Palmer Drought Severity Index
V. Grabar
Yury Maximov
A. Zaytsev
57
1
0
31 Aug 2022
Usage of specific attention improves change point detection
Anna Dmitrienko
Evgenia Romanenkova
Alexey Zaytsev
41
0
0
18 Apr 2022
Similarity learning for wells based on logging data
Evgenia Romanenkova
Alina Rogulina
A. Shakirov
N. Stulov
Alexey Zaytsev
L. Ismailova
D. Kovalev
Klemens Katterbauer
A. Alshehri
49
16
0
11 Feb 2022
A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
Parisa Kavianpour
Mohammadreza Kavianpour
E. Jahani
Amin Ramezani
76
85
0
26 Dec 2021
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
Arpit Bansal
Micah Goldblum
Valeriia Cherepanova
Avi Schwarzschild
C. Bayan Bruss
Tom Goldstein
43
9
0
17 Jun 2021
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