Doctor of Philosophy
Jonne Pohjankukka

Senior researcher, Computer Science (Department of Future Technologies)

jjepoh@utu.fi
+358 2 333 8545
Vesilinnantie 5
Turku





Areas of expertise
Computer science, data analysis, machine learning

Publications

Comparison of estimators and feature selection procedures in forest inventory based on airborne laser scanning and digital aerial imagery (2018)
Scandinavian Journal of Forest Research
Pohjankukka J., Tuominen S., Pitkänen J., Pahikkala T., Heikkonen J.
(
A1 Journal article – refereed)

Effect of homogenised and pasteurised versus native cows' milk on gastrointestinal symptoms, intestinal pressure and postprandial lipid metabolism (2018)
International Dairy Journal
Nuora A, Tupasela T, Tahvonen R, Rokka S, Marnila P, Viitanen M, Makela P, Pohjankukka J, Pahikkala T, Yang BR, Kallio H, Linderborg K
(
A1 Journal article – refereed)

Machine Learning Approaches for Natural Resource Data (2018)Pohjankukka, Jonne
(
G5 Doctoral dissertation (article))

Estimating the prediction performance of spatial models via spatial k-fold cross validation (2017)
International Journal of Geographical Information Science
Pohjankukka J, Pahikkala T, Nevalainen P, Heikkonen J
(
A1 Journal article – refereed)

Real-Time Swimmer Tracking on Sparse Camera Array (2017)Paavo Nevalainen, M. Hashem Haghbayan, Antti Kauhanen, Jonne Pohjankukka, Mikko-Jussi Laakso, Jukka Heikkonen
(
A4 Article in conference proceedings)

Triangular Curvature Approximation of Surfaces: Filtering the Spurious Mode (2017)Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, Jukka Heikkonen and Tapio Pahikkala
(
A4 Article in conference proceedings)

Analysing and Modelling the On-chip Traffic of Parallel Applications (2016)Thomas Xu, Jonne Pohjankukka, Ville Leppänen
(
A4 Article in conference proceedings)

Predictability of boreal forest soil bearing capacity by machine learning (2016)
Journal of Terramechanics
J. Pohjankukka, H. Riihimäki, P. Nevalainen, T. Pahikkala, J. Ala-Ilomäki, E. Hyvönen, J. Varjo, J. Heikkonen
(
A1 Journal article – refereed)

New computational methods for efficient utilisation of public data (2015)Jari Ala-Ilomäki, Juval Cohen, Jyri Heilimo, Eija Hyvönen, Pekka Hänninen, Jaakko Ikonen, Maarit Middleton, Paavo Nevalainen, Tapio Pahikkala, Jonne Pohjankukka, Jouni Pulliainen, Henri Riihimäki, Raimo Sutinen, Sakari Tuominen, Jari Varjo
(
D4 Published development or research report or study)

Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling (2015)Thomas Canhao Xu, Jonne Pohjankukka, Paavo Nevalainen, Ville Leppänen, Tapio Pahikkala
(
A4 Article in conference proceedings)

Arctic soil hydraulic conductivity and soil type recognition based on aerial gamma-ray spectroscopy and topographical data (2014)Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Pekka Hänninen, Eija Hyvönen, Raimo Sutinen, Jukka Heikkonen
(
A4 Article in conference proceedings)

Predicting water permeability of the soil based on open data (2014)
IFIP Advances in Information and Communication Technology
Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Eija Hyvönen, Pekka Hänninen, Raimo Sutinen, Jari Ala-Ilomäki, Jukka Heikkonen
(
A4 Article in conference proceedings)


Last updated on 2018-24-08 at 11:01