Paavo Nevalainen

Project researcher, Computer Science (Department of Future Technologies)

paavo.nevalainen@utu.fi
+358 2 333 8545
Vesilinnantie 5
Turku
Office: Agora 452B
Reception at Mondays on 12-12:00




Publications

Future Educational Technology with Big Data and Learning Analytics (2018)Kanth R., Laakso M., Nevalainen P., Heikkonen J.
(
A4 Article in conference proceedings)

Geometric data understanding : deriving case specific features (2018)Nevalainen. Paavo
(
G5 Doctoral dissertation (article))

Ship Movement Prediction Using k-NN Method (2018)Petra Virjonen, Paavo Nevalainen, Tapio Pahikkala, Jukka Heikkonen
(
A4 Article in conference proceedings)

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)

Estimating the Rut Depth by UAV Photogrammetry (2017)
Remote Sensing
Paavo Nevalainen, Aura Salmivaara, Jari Ala-Ilomäki, Samuli Launiainen, Juuso Hiedanpää, Leena Finér, Tapio Pahikkala, Jukka Heikkonen
(
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)

Detecting Terrain Stoniness From Airborne Laser Scanning Data (2016)
Remote Sensing
Nevalainen P, Middleton M, Sutinen R, Heikkonen J, Pahikkala T
(
A1 Journal article – refereed)

Heuristicallly targeted Minimum Description Length test for stone detection from public point cloud data (2016)Paavo Nevalainen , Juuso Suomi , Jukka Heikkonen
(
D3 Professional 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)

Video based Swimming Analysis for Fast Feedback (2016)Paavo Nevalainen, Antti Kauhanen, Csaba Raduly-Baka, Mikko-Jussi Laakso, Jukka Heikkonen
(
A4 Article in conference proceedings)

Fast regularized least squares and k-means clustering method for intrusion detection systems (2015)Parisa Movahedi, Paavo Nevalainen, Markus Viljanen, Tapio Pahikkala
(
A4 Article in conference proceedings)

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 2017-17-11 at 04:56