Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data. - Jonne Pohjankukka; Paavo Nevalainen; Tapio Pahikkala; Pekka Hänninen; Eija Hyvönen; Raimo Sutinen; Jukka Heikkonen (ICPR, 2014)

Predicting Water Permeability of the Soil Based on Open Data. - Jonne Pohjankukka; Paavo Nevalainen; Tapio Pahikkala; Eija Hyvönen; Pekka Hänninen; Raimo Sutinen; Jari Ala-Ilomäki; Jukka Heikkonen (AIAI, 2014)

Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems. - Parisa Movahedi; Paavo Nevalainen; Markus Viljanen; Tapio Pahikkala (ICPRAM (2), 2015)

Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling. - Thomas Canhao Xu; Jonne Pohjankukka; Paavo Nevalainen; Ville Leppänen; Tapio Pahikkala (ICSOFT-EA, 2015)

Detecting stony areas based on ground surface curvature distribution. - Paavo Nevalainen; Maarit Middleton; Ilkka Kaate; Tapio Pahikkala; Raimo Sutinen; Jukka Heikkonen (IPTA, 2015)

Real-Time Swimmer Tracking on Sparse Camera Array. - Paavo Nevalainen; M. Hashem Haghbayan; Antti Kauhanen; Jonne Pohjankukka; Mikko-Jussi Laakso; Jukka Heikkonen (ICPRAM (Revised Selected Papers), 2016)

Video based Swimming Analysis for Fast Feedback. - Paavo Nevalainen; Antti Kauhanen; Csaba Raduly-Baka; Mikko-Jussi Laakso; Jukka Heikkonen (ICPRAM, 2016)

Detecting Terrain Stoniness From Airborne Laser Scanning Data. - Paavo Nevalainen; Maarit Middleton; Raimo Sutinen; Jukka Heikkonen; Tapio Pahikkala (Remote. Sens., 2016)

Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. - Paavo Nevalainen; Ivan Jambor; Jonne Pohjankukka; Jukka Heikkonen; Tapio Pahikkala (ICPRAM, 2017)

Estimating the prediction performance of spatial models via spatial k-fold cross validation. - Jonne Pohjankukka; Tapio Pahikkala; Paavo Nevalainen; Jukka Heikkonen (Int. J. Geogr. Inf. Sci., 2017)

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

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. - Fahimeh Farahnakian; Mohammad Hashem Haghbayan; Jonne Poikonen; Markus Laurinen; Paavo Nevalainen; Jukka Heikkonen (ICMLA, 2018)

Future Educational Technology with Big Data and Learning Analytics. - Rajeev Kumar Kanth; Mikko-Jussi Laakso; Paavo Nevalainen; Jukka Heikkonen (ISIE, 2018)

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments. - Mohammad Hashem Haghbayan; Fahimeh Farahnakian; Jonne Poikonen; Markus Laurinen; Paavo Nevalainen; Juha Plosila; Jukka Heikkonen (ITSC, 2018)

Edge and Fog Computing Enabled AI for IoT-An Overview. - Zhuo Zou; Yi Jin 007; Paavo Nevalainen; Yuxiang Huan; Jukka Heikkonen; Tomi Westerlund (AICAS, 2019)

Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. - Qingqing Li 001; Paavo Nevalainen; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (Remote. Sens., 2020)

Navigation and Mapping in Forest Environment Using Sparse Point Clouds. - Paavo Nevalainen; Qingqing Li 001; Timo Melkas; Kirsi Riekki; Tomi Westerlund; Jukka Heikkonen (Remote. Sens., 2020)

Long-Term Autonomy in Forest Environment using Self-Corrective SLAM. - Paavo Nevalainen; Parisa Movahedi; Jorge Peña Queralta; Tomi Westerlund; Jukka Heikkonen (CoRR, 2021)

Short and Long Term Vessel Movement Prediction for Maritime Traffic. - Farshad Farahnakian; Fahimeh Farahnakian; Javad Sheikh; Paavo Nevalainen; Jukka Heikkonen (critis, 2023)

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. - Fahimeh Farahnakian; Luca Zelioli; Timo P. Pitkänen; Jonne Pohjankukka; Maarit Middleton; Sakari Tuominen; Paavo Nevalainen; Jukka Heikkonen (FUSION, 2023)

A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior. - Farshad Farahnakian; Florent Nicolas; Fahimeh Farahnakian; Paavo Nevalainen; Javad Sheikh; Jukka Heikkonen; Csaba Raduly-Baka (Remote. Sens., 2023)

AI-ARC Baltic Demo: Detecting Illegal Activities at Sea. - 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; et al. (FUSION, 2024)

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. - Luca Zelioli; Fahimeh Farahnakian; Maarit Middleton; Timo P. Pitkänen; Sakari Tuominen; Paavo Nevalainen; Jonne Pohjankukka; Jukka Heikkonen (Ecol. Informatics, 2025)

Enhancing hurdles athletes' performance analysis: A comparative study of cnn-based pose estimation frameworks. - Pouya Jafarzadeh; Luca Zelioli; Petra Virjonen; Fahimeh Farahnakian; Paavo Nevalainen; Jukka Heikkonen (Multim. Tools Appl., 2025)