Paavo Nevalainen

27 papers B 1C 6Misc 1Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-assisted sales coaching framework: Empirically-derived models for B2B communication analysis. Array Joona Mäntyvaara, Paavo Nevalainen, Kirill Glavatskiy, Jukka Heikkonen
2025	J	`jnl`	Enhancing hurdles athletes' performance analysis: A comparative study of cnn-based pose estimation frameworks. Multim. Tools Appl. Pouya Jafarzadeh, Luca Zelioli, Petra Virjonen, Fahimeh Farahnakian, Paavo Nevalainen, Jukka Heikkonen
2025	J	`jnl`	Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. Ecol. Informatics Luca Zelioli, Fahimeh Farahnakian, Maarit Middleton, Timo P. Pitkänen, Sakari Tuominen, Paavo Nevalainen, Jonne Pohjankukka, Jukka Heikkonen
2024	C	`conf`	AI-ARC Baltic Demo: Detecting Illegal Activities at Sea. FUSION Pontus Svenson, Anders Holst, Anders Wallberg, Paavo Nevalainen, Farshad Farahnakian, Alfonso Álamo, Vincenzo Germinara, Daniel Schweizer, Matthis Leicht, Mathias Anneken, Adrian H. Hoppe, Aristeidis Karalis, Ashraf Labib, María Eugénia Beltrán, Liss Hernández, Petteri Partanen, Minna Markkanen
2023	J	`jnl`	A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior. Remote. Sens. Farshad Farahnakian, Florent Nicolas, Fahimeh Farahnakian, Paavo Nevalainen, Javad Sheikh, Jukka Heikkonen, Csaba Raduly-Baka
2023	C	`conf`	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. FUSION Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen
2023	C	`conf`	Short and Long Term Vessel Movement Prediction for Maritime Traffic. critis Farshad Farahnakian, Fahimeh Farahnakian, Javad Sheikh, Paavo Nevalainen, Jukka Heikkonen
2021	J	`jnl`	Long-Term Autonomy in Forest Environment using Self-Corrective SLAM. CoRR Paavo Nevalainen, Parisa Movahedi, Jorge Peña Queralta, Tomi Westerlund, Jukka Heikkonen
2020	J	`jnl`	Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation. CoRR Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen
2020	J	`jnl`	Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. CoRR Qingqing Li, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund
2020	J	`jnl`	Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. Remote. Sens. Qingqing Li, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund
2020	J	`jnl`	Navigation and Mapping in Forest Environment Using Sparse Point Clouds. Remote. Sens. Paavo Nevalainen, Qingqing Li, Timo Melkas, Kirsi Riekki, Tomi Westerlund, Jukka Heikkonen
2019	—	`conf`	Edge and Fog Computing Enabled AI for IoT-An Overview. AICAS Zhuo Zou, Yi Jin, Paavo Nevalainen, Yuxiang Huan, Jukka Heikkonen, Tomi Westerlund
2018	—	`conf`	An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments. ITSC Mohammad Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen
2018	—	`conf`	Future Educational Technology with Big Data and Learning Analytics. ISIE Rajeev Kumar Kanth, Mikko-Jussi Laakso, Paavo Nevalainen, Jukka Heikkonen
2018	C	`conf`	Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. ICMLA Fahimeh Farahnakian, Mohammad Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen
2017	J	`jnl`	Estimating the Rut Depth by UAV Photogrammetry. Remote. Sens. Paavo Nevalainen, Aura Salmivaara, Jari Ala-Ilomäki, Samuli Launiainen, Juuso Hiedanpää, Leena Finér, Tapio Pahikkala, Jukka Heikkonen
2017	J	`jnl`	Estimating the prediction performance of spatial models via spatial k-fold cross validation. Int. J. Geogr. Inf. Sci. Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen
2017	C	`conf`	Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. ICPRAM Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, Jukka Heikkonen, Tapio Pahikkala
2016	J	`jnl`	Detecting Terrain Stoniness From Airborne Laser Scanning Data. Remote. Sens. Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala
2016	—	`conf`	Real-Time Swimmer Tracking on Sparse Camera Array. ICPRAM (Revised Selected Papers) Paavo Nevalainen, M. Hashem Haghbayan, Antti Kauhanen, Jonne Pohjankukka, Mikko-Jussi Laakso, Jukka Heikkonen
2016	C	`conf`	Video based Swimming Analysis for Fast Feedback. ICPRAM Paavo Nevalainen, Antti Kauhanen, Csaba Raduly-Baka, Mikko-Jussi Laakso, Jukka Heikkonen
2015	—	`conf`	Detecting stony areas based on ground surface curvature distribution. IPTA Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen
2015	—	`conf`	Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems. ICPRAM (2) Parisa Movahedi, Paavo Nevalainen, Markus Viljanen, Tapio Pahikkala
2015	—	`conf`	Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling. ICSOFT-EA Thomas Canhao Xu, Jonne Pohjankukka, Paavo Nevalainen, Ville Leppänen, Tapio Pahikkala
2014	B	`conf`	Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data. ICPR Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Pekka Hänninen, Eija Hyvönen, Raimo Sutinen, Jukka Heikkonen
2014	Misc	`conf`	Predicting Water Permeability of the Soil Based on Open Data. AIAI Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Eija Hyvönen, Pekka Hänninen, Raimo Sutinen, Jari Ala-Ilomäki, Jukka Heikkonen