Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data. - Jonne Pohjankukka; Paavo Nevalainen; Tapio Pahikkala; Pekka Hänninen; Eija Hyvönen; Raimo Sutinen; Jukka Heikkonen (ICPR, 2014)

Predicting Water Permeability of the Soil Based on Open Data. - Jonne Pohjankukka; Paavo Nevalainen; Tapio Pahikkala; Eija Hyvönen; Pekka Hänninen; Raimo Sutinen; Jari Ala-Ilomäki; Jukka Heikkonen (AIAI, 2014)

Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling. - Thomas Canhao Xu; Jonne Pohjankukka; Paavo Nevalainen; Ville Leppänen; Tapio Pahikkala (ICSOFT-EA, 2015)

Analysing and Modelling the On-Chip Traffic of Parallel Applications. - Thomas Canhao Xu; Jonne Pohjankukka; Ville Leppänen (SEAA, 2016)

Real-Time Swimmer Tracking on Sparse Camera Array. - Paavo Nevalainen; M. Hashem Haghbayan; Antti Kauhanen; Jonne Pohjankukka; Mikko-Jussi Laakso; Jukka Heikkonen (ICPRAM (Revised Selected Papers), 2016)

Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. - Paavo Nevalainen; Ivan Jambor; Jonne Pohjankukka; Jukka Heikkonen; Tapio Pahikkala (ICPRAM, 2017)

Estimating the prediction performance of spatial models via spatial k-fold cross validation. - Jonne Pohjankukka; Tapio Pahikkala; Paavo Nevalainen; Jukka Heikkonen (Int. J. Geogr. Inf. Sci., 2017)

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. - Antti Airola; Jonne Pohjankukka; Johanna Torppa; Maarit Middleton; Vesa Nykänen; Jukka Heikkonen; Tapio Pahikkala (Data Min. Knowl. Discov., 2019)

Utilizing remote sensing data in forest inventory sampling via Bayesian optimization. - Jonne Pohjankukka; Sakari Tuominen; Jukka Heikkonen (CoRR, 2020)

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. - Fahimeh Farahnakian; Luca Zelioli; Timo P. Pitkänen; Jonne Pohjankukka; Maarit Middleton; Sakari Tuominen; Paavo Nevalainen; Jukka Heikkonen (FUSION, 2023)

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. - Luca Zelioli; Fahimeh Farahnakian; Maarit Middleton; Timo P. Pitkänen; Sakari Tuominen; Paavo Nevalainen; Jonne Pohjankukka; Jukka Heikkonen (Ecol. Informatics, 2025)