| An online learning framework for energy-efficient navigation of electric vehicles N Åkerblom, Y Chen, MH Chehreghani 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 21 | 2020 |
| Online learning of energy consumption for navigation of electric vehicles N Åkerblom, Y Chen, MH Chehreghani Artificial Intelligence 317, 103879, 2023 | 12 | 2023 |
| Online learning of network bottlenecks via minimax paths N Åkerblom, FS Hoseini, M Haghir Chehreghani Machine Learning 112 (1), 131-150, 2023 | 11 | 2023 |
| Clustering driving destinations using a modified dbscan algorithm with locally-defined map-based thresholds G Panahandeh, N Åkerblom Computational Methods and Models for Transport: New Challenges for the …, 2018 | 8 | 2018 |
| Passive and active learning of driver behavior from electric vehicles F Comuni, C Mészáros, N Åkerblom, MH Chehreghani 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 3 | 2022 |
| A contextual combinatorial semi-bandit approach to network bottleneck identification F Hoseini, N Åkerblom, MH Chehreghani arXiv preprint arXiv:2206.08144, 2022 | 3 | 2022 |
| Dynamometer test of a rule-based discharge strategy for plug-in hybrid electric vehicles V Larsson, R Arvidsson, A Westerlund, N Åkerblom IFAC-PapersOnLine 49 (11), 141-146, 2016 | 3 | 2016 |
| Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation J Sandberg, N Åkerblom, MH Chehreghani arXiv preprint arXiv:2312.12676, 2023 | 1 | 2023 |
| A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles N Åkerblom, MH Chehreghani Transactions on Machine Learning Research, 2023 | 1 | 2023 |
| Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach A Rahbar, N Åkerblom, MH Chehreghani arXiv preprint arXiv:2308.10699, 2023 | 1 | 2023 |
| Online Learning Models for Vehicle Usage Prediction During COVID-19 T Lindroth, A Svensson, N Åkerblom, M Pourabdollah, MH Chehreghani IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Tree Ensembles for Contextual Bandits H Nilsson, R Johansson, N Åkerblom, MH Chehreghani arXiv preprint arXiv:2402.06963, 2024 | | 2024 |
| Combinatorial Semi Bandit Methods for Navigation of Electric Vehicles N Åkerblom Chalmers University of Technology, 2024 | | 2024 |
| Online Learning for Energy Efficient Navigation in Stochastic Transport Networks N Åkerblom PQDT-Global, 2021 | | 2021 |
| Optimizing HEV Fuel Efficiency Using Cloud Stored Data N ÅKERBLOM, P NORDAHL | | 2013 |
Morteza Haghir ChehreghaniChalmers University of TechnologyVerified email at chalmers.se
