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Challenges in data-based geospatial modeling for environmental research
  and practice

Challenges in data-based geospatial modeling for environmental research and practice

18 November 2023
Diana Koldasbayeva
P. Tregubova
M. Gasanov
Alexey Zaytsev
Anna Petrovskaia
E. Burnaev
    AI4CE
ArXivPDFHTML

Papers citing "Challenges in data-based geospatial modeling for environmental research and practice"

4 / 4 papers shown
Title
Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations
Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations
Eugene Kofi Okrah Denteh
Andrews Danyo
Joshua Kofi Asamoah
Blessing Agyei Kyem
Twitchell Addai
Armstrong Aboah
44
2
0
27 Mar 2025
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing,
  and Improving Uncertainty Quantification
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
Youngseog Chung
I. Char
Han Guo
J. Schneider
W. Neiswanger
38
70
0
21 Sep 2021
Importance of spatial predictor variable selection in machine learning
  applications -- Moving from data reproduction to spatial prediction
Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction
H. Meyer
C. Reudenbach
Stephan Wöllauer
T. Nauss
45
289
0
21 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1