Viacheslav Barkov

According to our database, Viacheslav Barkov authored at least 5 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Modern Neural Networks for Small Tabular Datasets: The New Default for Field-Scale Digital Soil Mapping?

Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, Martin Atzmueller

CoRR, August, 2025

LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping.

Jonas Schmidinger, Sebastian Vogel, Viacheslav Barkov, A.-D. Pham, Robin Gebbers, Hamed Tavakoli, José Correa, Tibério Tavares Rezende, Patrick Filippi, Edward J. Jones, V. Lukas, Eric Bönecke, Jörg Rühlmann, Ingmar Schröter, Eckart Kramer, Stefan Pätzold, M. Kodaira, Alexandre M. J.-C. Wadoux, L. Bragazza, Konrad Metzger, J. Huang, D. S. M. Valente, José Lucas Safanelli, E. L. Bottega, R. S. D. Dalmolin, Csanád Farkas, A. Steiger, T. Z. Horst, L. Ramirez-Lopez, T. Scholten, F. Stumpf, P. Rosso, M. M. Costa, Rodrigo S. Zandonadi, Johanna Wetterlind, Martin Atzmüller

CoRR, February, 2025

Precision Liming Soil Datasets (LimeSoDa) Zenodo Repository.

Jonas Schmidinger, Sebastian Vogel, Viacheslav Barkov, A.-D. Pham, Robin Gebbers, Hamed Tavakoli, José Correa, Tibério Tavares Rezende, Patrick Filippi, Edward J. Jones, V. Lukas, Eric Bönecke, Jörg Rühlmann, Ingmar Schröter, Eckart Kramer, Stefan Pätzold, M. Kodaira, Alexandre M. J.-C. Wadoux, L. Bragazza, Konrad Metzger, J. Huang, D. S. M. Valente, José Lucas Safanelli, E. L. Bottega, R. S. D. Dalmolin, Csanád Farkas, A. Steiger, T. Z. Horst, L. Ramirez-Lopez, T. Scholten, F. Stumpf, P. Rosso, M. M. Costa, Rodrigo S. Zandonadi, Johanna Wetterlind, Martin Atzmueller

Dataset, February, 2025

2024

Mapping Trees Outside Forests Using Semantic Segmentation.

Moritz Lucas, Viacheslav Barkov, Ralf Pecenka, Martin Atzmueller, Björn Waske

Proceedings of the IGARSS 2024, 2024

An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications.

Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, Martin Atzmueller

Proceedings of the International Conference on Machine Learning and Applications, 2024