| Estimating the prediction performance of spatial models via spatial k-fold cross validation J Pohjankukka, T Pahikkala, P Nevalainen, J Heikkonen International Journal of Geographical Information Science 31 (10), 2001-2019, 2017 | 129 | 2017 |
| Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization J Toivonen, I Montoya Perez, P Movahedi, H Merisaari, M Pesola, ... PloS one 14 (7), e0217702, 2019 | 102 | 2019 |
| Predictability of boreal forest soil bearing capacity by machine learning J Pohjankukka, H Riihimäki, P Nevalainen, T Pahikkala, J Ala-Ilomäki, ... Journal of Terramechanics 68, 1-8, 2016 | 32 | 2016 |
| Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology A Salmivaara, S Launiainen, J Perttunen, P Nevalainen, J Pohjankukka, ... Forestry: An International Journal of Forest Research 93 (5), 662-674, 2020 | 27 | 2020 |
| The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers A Airola, J Pohjankukka, J Torppa, M Middleton, V Nykänen, J Heikkonen, ... Data Mining and Knowledge Discovery 33, 730-747, 2019 | 19 | 2019 |
| Predicting water permeability of the soil based on open data J Pohjankukka, P Nevalainen, T Pahikkala, E Hyvönen, P Hänninen, ... Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 …, 2014 | 10 | 2014 |
| Arctic soil hydraulic conductivity and soil type recognition based on aerial gamma-ray spectroscopy and topographical data J Pohjankukka, P Nevalainen, T Pahikkala, P Hänninen, E Hyvönen, ... 2014 22nd International Conference on Pattern Recognition, 1822-1827, 2014 | 9 | 2014 |
| Effect of homogenised and pasteurised versus native cows' milk on gastrointestinal symptoms, intestinal pressure and postprandial lipid metabolism A Nuora, T Tupasela, R Tahvonen, S Rokka, P Marnila, M Viitanen, ... International dairy journal 79, 15-23, 2018 | 8 | 2018 |
| Comparison of estimators and feature selection procedures in forest inventory based on airborne laser scanning and digital aerial imagery J Pohjankukka, S Tuominen, J Pitkänen, T Pahikkala, J Heikkonen Scandinavian journal of forest research 33 (7), 681-694, 2018 | 7 | 2018 |
| New computational methods for efficient utilisation of public data J Ala-Ilomäki, J Cohen, J Heilimo, E Hyvönen, P Hänninen, J Ikonen, ... Geol. Surv. Finl. Rep. Investig 217, 1-55, 2015 | 5 | 2015 |
| Tree log identification using convolutional neural networks E Holmström, A Raatevaara, J Pohjankukka, H Korpunen, J Uusitalo Smart Agricultural Technology 4, 100201, 2023 | 4 | 2023 |
| Triangular Curvature Approximation of Surfaces-Filtering the Spurious Mode P Nevalainen, I Jambor, J Pohjankukka, J Heikkonen, T Pahikkala International Conference on Pattern Recognition Applications and Methods 2 …, 2017 | 3 | 2017 |
| Triangular Curvature Approximation of Surfaces-Filtering the Spurious Mode P Nevalainen, I Jambor, J Pohjankukka, J Heikkonen, T Pahikkala International Conference on Pattern Recognition Applications and Methods 2 …, 2017 | 3 | 2017 |
| Real-Time swimmer tracking on sparse camera array P Nevalainen, MH Haghbayan, A Kauhanen, J Pohjankukka, MJ Laakso, ... Pattern Recognition Applications and Methods: 5th International Conference …, 2017 | 3 | 2017 |
| Utilizing remote sensing data in forest inventory sampling via bayesian optimization J Pohjankukka, S Tuominen, J Heikkonen arXiv preprint arXiv:2009.08420, 2020 | 2 | 2020 |
| Parallel applications and on-chip traffic distributions: Observation, implication and modelling TC Xu, J Pohjankukka, P Nevalainen, T Pahikkala, V Leppänen 2015 10th International Joint Conference on Software Technologies (ICSOFT) 1 …, 2015 | 2 | 2015 |
| Multistream convolutional neural network fusion for pixel-wise classification of peatland F Farahnakian, L Zelioli, T Pitkänen, J Pohjankukka, M Middleton, ... 2023 26th International Conference on Information Fusion (FUSION), 1-8, 2023 | 1 | 2023 |
| Bayesian Approach for Optimizing Forest Inventory Survey Sampling with Remote Sensing Data J Pohjankukka, S Tuominen, J Heikkonen Forests 13 (10), 1692, 2022 | 1 | 2022 |
| Automatic detection of root rot and resin in felled Scots pine stems using convolutional neural networks E Holmström, H Kainulainen, A Raatevaara, J Pohjankukka, T Piri, ... International Journal of Forest Engineering, 1-13, 2024 | | 2024 |
| Model-assisted survey sampling with Bayesian optimization J Pohjankukka, S Tuominen, J Heikkonen arXiv preprint arXiv:2401.14902, 2024 | | 2024 |
