Niklas Åkerblom

Showing 12 publications

2024

Tree Ensembles for Contextual Bandits

Hannes Nilsson, Rikard Johansson, Niklas Åkerblom et al
Preprint
2024

Online Learning Models for Vehicle Usage Prediction During COVID-19

Tobias Lindroth, Axel Svensson, Niklas Åkerblom et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 25, p. 1-10
Journal article
2023

Online Learning of Energy Consumption for Navigation of Electric Vehicles

Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Artificial Intelligence. Vol. 317
Journal article
2023

Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach

Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani
Preprint
2023

Online Learning of Network Bottlenecks via Minimax Paths

Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Machine Learning. Vol. 112 (1), p. 131-150
Journal article
2023

A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles

Niklas Åkerblom, Morteza Haghir Chehreghani
Transactions on Machine Learning Research
Journal article
2022

Passive and Active Learning of Driver Behavior from Electric Vehicles

Federica Comuni, Christopher Mészáros, Niklas Åkerblom et al
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. Vol. 2022-October, p. 929-936
Paper in proceeding
2022

A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification

Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
Preprint
2020

An online learning framework for energy-efficient navigation of electric vehicles

Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
IJCAI International Joint Conference on Artificial Intelligence. Vol. 2021-january, p. 2051-2057
Paper in proceeding

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Showing 1 research projects

2019–2023

EENE: Energy Effective Navigation for EVs

Morteza Haghir Chehreghani Data Science and AI
Niklas Åkerblom Data Science and AI
FFI - Strategic Vehicle Research and Innovation

12 publications exist
There might be more projects where Niklas Åkerblom participates, but you have to be logged in as a Chalmers employee to see them.