Thomas Scholten

According to our database, Thomas Scholten authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty Quantification of Soil Organic Carbon Estimation from Remote Sensing Data with Conformal Prediction.

Nafiseh Kakhani, Setareh Alamdar, Ndiye Michael Kebonye, Meisam Amani, Thomas Scholten

Remote. Sens., February, 2024

2023

Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils.

Tom Broeg, Michael Blaschek, Steffen Seitz, Ruhollah Taghizadeh-Mehrjardi, Simone Zepp, Thomas Scholten

Remote. Sens., February, 2023

SoilNet: An Attention-based Spatio-temporal Deep Learning Framework for Soil Organic Carbon Prediction with Digital Soil Mapping in Europe.

Nafiseh Kakhani, Moien Rangzan, Ali Jamali, Sara Attarchi, Seyed Kazem Alavipanah, Thomas Scholten

CoRR, 2023

Inductive biases in deep learning models for weather prediction.

Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz

CoRR, 2023

2022

A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties.

Ruhollah Taghizadeh-Mehrjardi, Hossein Khademi, Fatemeh Khayamim, Mojtaba Zeraatpisheh, Brandon Heung, Thomas Scholten

Remote. Sens., 2022

Monitoring and Integrating the Changes in Vegetated Areas with the Rate of Groundwater Use in Arid Regions.

Mona Morsy, Silas C. Michaelides, Thomas Scholten, Peter Dietrich

Remote. Sens., 2022

2021

Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model.

Ruhollah Taghizadeh-Mehrjardi, Hassan Fathizad, Mohammad Ali Hakimzadeh Ardakani, Hamid Sodaiezadeh, Ruth Kerry, Brandon Heung, Thomas Scholten

Remote. Sens., 2021

Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions.

Ruhollah Taghizadeh-Mehrjardi, Mostafa Emadi, Ali Cherati, Brandon Heung, Amir Mosavi, Thomas Scholten

Remote. Sens., 2021

Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data.

Mona Morsy, Ruhollah Taghizadeh-Mehrjardi, Silas C. Michaelides, Thomas Scholten, Peter Dietrich, Karsten Schmidt

Remote. Sens., 2021

Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai.

Mona Morsy, Thomas Scholten, Silas C. Michaelides, Erik Borg, Youssef Sherief, Peter Dietrich

Remote. Sens., 2021

Latent State Inference in a Spatiotemporal Generative Model.

Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space.

Ruhollah Taghizadeh-Mehrjardi, Karsten Schmidt, Alireza Amirian-Chakan, Tobias Rentschler, Mojtaba Zeraatpisheh, Fereydoon Sarmadian, Roozbeh Valavi, Naser Davatgar, Thorsten Behrens, Thomas Scholten

Remote. Sens., 2020

Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran.

Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati, Majid Danesh, Amir Mosavi, Thomas Scholten

Remote. Sens., 2020

Hidden Latent State Inference in a Spatio-Temporal Generative Model.

Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

CoRR, 2020

Inferring, Predicting, and Denoising Causal Wave Dynamics.

Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction.

Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020