Response to Comment on 'Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach'.
- Published in:
- Boreas, 2025, v. 54, n. 2, p. 277, doi. 10.1111/bor.70004
- By:
- Publication type:
- Article
Works matching IS 03009483 AND DT 2025 AND VI 54 AND IP 2
Results: 8
1
2
Reassessing the predictive power of bedfinder: insights into machine learning for subglacial bedform detection – Comments on 'Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach'.
- Published in:
- Boreas, 2025, v. 54, n. 2, p. 273, doi. 10.1111/bor.70005
- By:
- Publication type:
- Article
3
Cladocera assemblages indicate environmental gradients of lake productivity and morphometry in central Europe.
- Published in:
- Boreas, 2025, v. 54, n. 2, p. 258, doi. 10.1111/bor.70001
- By:
- Publication type:
- Article
4
A synthesis of luminescence and <sup>14</sup>C dated dust mass accumulation rates for loess‐palaeosol sequences from the Middle Danube Basin.
- Published in:
- Boreas, 2025, v. 54, n. 2, p. 179, doi. 10.1111/bor.12696
- By:
- Publication type:
- Article
5
Geochronological investigations at the maximum extent of the Fennoscandian Ice Sheet during the Late Weichselian glaciation in northern Germany.
- Published in:
- Boreas, 2025, v. 54, n. 2, p. 246, doi. 10.1111/bor.12695
- By:
- Publication type:
- Article
6
A multi‐proxy reconstruction of Lateglacial and Holocene mountain vegetation dynamics in Uri, Central Switzerland.
- Published in:
- Boreas, 2025, v. 54, n. 2, p. 202, doi. 10.1111/bor.12691
- By:
- Publication type:
- Article
7
Drivers of glacially induced fault reactivation in the Baltic Sea sector of the Tornquist Fan.
- Published in:
- Boreas, 2025, v. 54, n. 2, p. 220, doi. 10.1111/bor.12689
- By:
- Publication type:
- Article
8
Issue Information.
- Published in:
- Boreas, 2025, v. 54, n. 2, p. i, doi. 10.1111/bor.12664
- Publication type:
- Article