Paavo Nevalainen
PhD
paavo.nevalainen@utu.fi Office: Agora 452B Reception at Mondays on 12-12:00 ORCID identifier: https://orcid.org/0000-0002-7646-929X |
Areas of expertise
point cloud registration, open natural resource data, videometrics, sensor fusion
point cloud registration, open natural resource data, videometrics, sensor fusion
Research community or research topic
Data Analytics: Algorithmics and Computational Intelligence
Data Analytics: Algorithmics and Computational Intelligence
Biography
Worked hard on various fields, now soon to be retired!
Publications 
2 of 3
- Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC)
– Steps towards data-driven corridor governance. Targeted Analysis. Practical Guide. (2019) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Ville Keränen, Siiri Silm, Anto Aasa
(D4 Published development or research report or study ) - Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC). Targeted Analysis. Executive Summary (2019) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Ville Keränen, Siiri Silm, Anto Aasa
(D4 Published development or research report or study ) - Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC). Targeted Analysis. Synthesis Report (2019) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Ville Keränen, Siiri Silm, Anto Aasa
(D4 Published development or research report or study ) - Potentials of Big Data for Integrated Territorial Policy Development in the European Growth Corridors (Bigdata): Targeted Analysis. Final Main Report (2019) Helka Kalliomäki, Jukka Vahlo, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Ville Keränen, Paavo Nevalainen, Siiri Silm, Anto Aasa
(D4 Published development or research report or study ) - An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)
- Proceedings of the IEEE international conference on intelligent transportation systems
(A4 Refereed article in a conference publication ) - Future Educational Technology with Big Data and Learning Analytics (2018)
- Proceedings of the IEEE International Symposium on Industrial Electronics
(A4 Refereed article in a conference publication ) - Geometric data understanding : deriving case specific features (2018) Nevalainen Paavo
(G5 Article dissertation ) - Image Analysis and Development of Graphical User Interface for Pole Vault Action (2018)
- Journal of image and graphics
(A1 Refereed original research article in a scientific journal) - 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 Refereed article in a conference publication ) - 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 Refereed article in a conference publication ) - 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 Refereed article in a conference publication ) - Wheel rut measurements by forest machine-mounted LiDAR sensors - accuracy and potential for operational applications? (2018)
- International Journal of Forest Engineering
(A1 Refereed original research article in a scientific journal) - Estimating the prediction performance of spatial models via spatial k-fold cross validation (2017)
- International Journal of Geographical Information Science
(A1 Refereed original research article in a scientific journal) - Estimating the Rut Depth by UAV Photogrammetry (2017)
- Remote Sensing
(A1 Refereed original research article in a scientific journal) - 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 Refereed article in a conference publication ) - 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 Refereed article in a conference publication ) - Detecting Terrain Stoniness From Airborne Laser Scanning Data (2016)
- Remote Sensing
(A1 Refereed original research article in a scientific journal) - 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 Article in a professional conference publication) - Predictability of boreal forest soil bearing capacity by machine learning (2016)
- Journal of Terramechanics
(A1 Refereed original research article in a scientific journal)
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