Paavo Nevalainen


Senior 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
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An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018) 2018 21st International Conference on Intelligent Transportation Systems (ITSC) Mohammad-Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen
(
A4 Article in conference proceedings)

Future Educational Technology with Big Data and Learning Analytics (2018) 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE) 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))

Image Analysis and Development of Graphical User Interface for Pole Vault Action (2018) Rajeev Kanth, Jukka-Pekka Skön, Kari Lehtomäki, Paavo Nevalainen, Petra Virjonen, Mikko-Jussi Laakso, Jukka Heikkonen
(
A1 Journal article – refereed)

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018) 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Fahimeh Farahnakian, Mohammad-Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen
(
A4 Article in conference proceedings)

Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC). Targeted analysis. Interim Report (2018) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Siiri Silm, Anto Aasa
(
D4 Published development or research report or study)

Ship Movement Prediction Using k-NN Method (2018) 2018 Baltic Geodetic Congress (BGC Geomatics 2018). 21-23 June 2018, Olsztyn, Poland. Proceedings Petra Virjonen, Paavo Nevalainen, Tapio Pahikkala, Jukka Heikkonen
(
A4 Article in conference proceedings)

Tree Detection around Forest Harvester Based on Onboard LiDAR Measurements (2018) 2018 Baltic Geodetic Congress (BGC-Geomatics 2018), 21-23 June 2018, Olsztyn, Poland. Proceedings Sihvo Satu, Virjonen Petra, Nevalainen Paavo, Heikkonen Jukka
(
A4 Article in conference proceedings)

Wheel rut measurements by forest machine-mounted LiDAR sensors - accuracy and potential for operational applications? (2018)
International Journal of Forest Engineering
Aura Salmivaara, Mikko Miettinen, Leena Finér, Samuli Launiainen, Heikki Korpunen, Sakari Tuominen, Jukka Heikkonen, Paavo Nevalainen, Matti Sirén, Jari Ala-Ilomäki, Jori Uusitalo
(
A1 Journal article – refereed)

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) Pattern Recognition Applications and Methods: 5th International Conference, ICPRAM 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers 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) Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 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) Proceedings of the Ninth Workshop on Information Theoretic Methods in Science and Engineering 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) Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 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) Proceedings of the International Conference on Pattern Recognition Applications and Methods 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) Proceedings of the 10th International Conference on Software Engineering and Applications (ICSOFT-EA) Thomas Canhao Xu, Jonne Pohjankukka, Paavo Nevalainen, Ville Leppänen, Tapio Pahikkala
(
A4 Article in conference proceedings)


Last updated on 2019-23-07 at 02:21