| Efficient autonomous exploration planning of large-scale 3-d environments M Selin, M Tiger, D Duberg, F Heintz, P Jensfelt IEEE Robotics and Automation Letters 4 (2), 1699-1706, 2019 | 92 | 2019 |
| Receding-horizon lattice-based motion planning with dynamic obstacle avoidance O Andersson, O Ljungqvist, M Tiger, D Axehill, F Heintz 2018 IEEE Conference on Decision and Control (CDC), 4467-4474, 2018 | 32 | 2018 |
| Stream reasoning using temporal logic and predictive probabilistic state models M Tiger, F Heintz 2016 23rd International Symposium on Temporal Representation and Reasoning …, 2016 | 21 | 2016 |
| Online sparse Gaussian process regression for trajectory modeling M Tiger, F Heintz 2015 18th International Conference on Information Fusion (Fusion), 782-791, 2015 | 15 | 2015 |
| Incremental reasoning in probabilistic signal temporal logic M Tiger, F Heintz International Journal of Approximate Reasoning 119, 325-352, 2020 | 11 | 2020 |
| Gaussian process based motion pattern recognition with sequential local models M Tiger, F Heintz 2018 IEEE Intelligent Vehicles Symposium (IV), 1143-1149, 2018 | 9 | 2018 |
| Towards unsupervised learning, classification and prediction of activities in a stream-based framework M Tiger, F Heintz Thirteenth Scandinavian Conference on Artificial Intelligence, 147-156, 2015 | 6 | 2015 |
| A second screen journey to the cup: Twitter dynamics during the stanley cup playoffs D de Leng, M Tiger, M Almquist, V Almquist, N Carlsson 2018 Network Traffic Measurement and Analysis Conference (TMA), 1-8, 2018 | 5 | 2018 |
| Bayesian optimization for selecting training and validation data for supervised machine learning D Bergström, M Tiger, F Heintz 31st Swedish AI Society Workshop (SAIS), 2019 | 1 | 2019 |
| Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems F Präntare, H Appelgren, M Tiger, D Bergström, F Heintz Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | | 2022 |
| Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning M Tiger, D Bergström, A Norrstig, F Heintz IEEE Robotics and Automation Letters 6 (3), 4385-4392, 2021 | | 2021 |
| Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms F Präntare, M Tiger, D Bergström, H Appelgren, F Heintz International Workshop on the Foundations of Trustworthy AI Integrating …, 2020 | | 2020 |
| Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications: PhD Research Project Extended Abstract M Tiger, F Heintz Swedish Artificial Intelligence Society Workshop (SAIS 2020), 2020 | | 2020 |
| Unsupervised Spatio-Temporal Activity Learning and Recognition in a Stream Processing Framework M Tiger | | 2014 |
| Sparse Linear Modeling of Speech from EEG M Tiger | | 2014 |
| LiU@ HomeWreckers 2019 Team Description Paper S Thunberg, S Wijk, F Löfgren, M Tiger | | |
| Linköping Humanoids–Team Description F Heintz, F Löfgren, M Tiger, G Häger, J Dybeck, K Holmquist, T Haglund, ... | | |
| PhD Research Project Extended Abstract Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications M Tiger, F Heintz | | |
Fredrik HeintzProfessor of Computer Science, Linköping UniversityVerified email at liu.se
