Paavo Nevalainen
PhD
paavo.nevalainen@utu.fi : Agora 452B Reception at Mondays on 12-12:00 |
point cloud registration, open natural resource data, videometrics, sensor fusion
Data Analytics: Algorithmics and Computational Intelligence
Worked hard on various fields, now soon to be retired!
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 - 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
- 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
- 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
- An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)
- Proceedings of the IEEE international conference on intelligent transportation systems
- Future Educational Technology with Big Data and Learning Analytics (2018)
- Proceedings of the IEEE International Symposium on Industrial Electronics
- Geometric data understanding : deriving case specific features (2018) Nevalainen Paavo
- Image Analysis and Development of Graphical User Interface for Pole Vault Action (2018)
- Journal of image and graphics
- 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
- 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
- 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
- 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
- Wheel rut measurements by forest machine-mounted LiDAR sensors - accuracy and potential for operational applications? (2018)
- International Journal of Forest Engineering
- Estimating the prediction performance of spatial models via spatial k-fold cross validation (2017)
- International Journal of Geographical Information Science
- Estimating the Rut Depth by UAV Photogrammetry (2017)
- Remote Sensing
- 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
- 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
- Detecting Terrain Stoniness From Airborne Laser Scanning Data (2016)
- Remote Sensing
- 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
- Predictability of boreal forest soil bearing capacity by machine learning (2016)
- Journal of Terramechanics
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