Possibilities and challenges for artificial intelligence in military applications P Svenmarck, L Luotsinen, M Nilsson, J Schubert Proceedings of the NATO Big Data and Artificial Intelligence for Military …, 2018 | 127 | 2018 |
Machine learning techniques for autonomous agents in military simulations—Multum in Parvo JJ Roessingh, A Toubman, J van Oijen, G Poppinga, M Hou, L Luotsinen 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 26 | 2017 |
Modeling CGF behavior with machine learning techniques A Toubman, JJM Roessingh, G Poppinga, M Hou, L Luotsinen, RA Løvlid, ... National Aerospace Laboratory NLR, 2015 | 25 | 2015 |
Simulation-based decision support for evaluating operational plans J Schubert, F Moradi, H Asadi, L Luotsinen, E Sjöberg, P Hörling, ... Operations Research Perspectives 2, 36-56, 2015 | 24 | 2015 |
Modeling behavior of computer generated forces with machine learning techniques, the nato task group approach A Toubman, JJ Roessingh, J van Oijen, RA Løvlid, M Hou, C Meyer, ... 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 23 | 2016 |
Learning objective agent behavior using a data-driven modeling approach F Kamrani, LJ Luotsinen, RA Løvlid 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 21 | 2016 |
Automatic annotation of team actions in observations of embodied agents LJ Luotsinen, H Fernlund, L Bölöni Proceedings of the 6th international joint conference on Autonomous agents …, 2007 | 19 | 2007 |
Evaluating deep reinforcement learning for computer generated forces in ground combat simulation B Toghiani-Rizi, F Kamrani, LJ Luotsinen, L Gisslén 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 18 | 2017 |
Evolved creative intelligence for computer generated forces LJ Luotsinen, F Kamrani, P Hammar, M Jändel, RA Løvlid 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 18 | 2016 |
Data-driven behavior modeling for computer generated forces LJ Luotsinen, RA Løvlid NATO modelling and simulation group symp. M&S support to operational tasks …, 2015 | 15 | 2015 |
Role-based teamwork activity recognition in observations of embodied agent actions LJ Luotsinen, L Bölöni Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 12 | 2008 |
Collaborative UAV exploration of hostile environments LJ Luotsinen, AJ Gonzalez, L Bölöni Proceedings for the Army Science Conference (24th), 2004 | 10 | 2004 |
Fighter pilot behavior cloning V Sandström, L Luotsinen, D Oskarsson 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 686-695, 2022 | 7 | 2022 |
Explainable Artificial Intelligence: Exploring XAI Techniques in Military Deep Learning Applications L Luotsinen, D Oskarsson, P Svenmarck, BU Wickenberg Totalförsvarets forskningsinstitut, 2019 | 7 | 2019 |
A comparison study of 12 paradigms for developing embodied agents L Bölöni, LJ Luotsinen, JN Ekblad, TR Fitz‐Gibbon, C Houchin, JL Key, ... Software: Practice and Experience 38 (3), 259-305, 2008 | 5 | 2008 |
Autonomous environmental mapping in multi-agent uav systems LJ Luotsinen | 5 | 2004 |
Deep learning with limited data: a synthetic approach LJ Luotsinen, F Kamrani, L Lundmark, J Sabel, H Stiff, V Sandström Totalförsvarets forskningsinstitut, 2021 | 3 | 2021 |
Data-driven behavior modeling for computer generated forces–a literature survey RA Løvlid, LJ Luotsinen, F Kamrani, B Toghiani-Rizi | 3 | 2017 |
POPSIM: A platform targeting the modeling and simulation of human populations in urban environments L Luotsinen Seventh International Conference on Simulation Tools and Techniques, 2014 | 3 | 2014 |
Teamwork recognition of embodied agents with hidden Markov models LJ Luotsinen, H Fernlund, L Boloni 2007 IEEE International Conference on Intelligent Computer Communication and …, 2007 | 3 | 2007 |