208 citations · 209 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 1 cited
Utilizing remote sensing data in forest inventory sampling via Bayesian optimization
Jonne Pohjankukka, Sakari Tuominen, Jukka Heikkonen
In large-area forest inventories a trade-off between the amount of data to be sampled and the costs of collecting the data is necessary. It is not always possible to have a very la…
stat.AP2020★ 208 cited
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation
Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen +1
In machine learning one often assumes the data are independent when evaluating model performance. However, this rarely holds in practise. Geographic information data sets are an ex…