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William Lindskog
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2020 – today
- 2024
- [i5]William Lindskog, Christian Prehofer:
Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case. CoRR abs/2405.02060 (2024) - [i4]William Lindskog, Christian Prehofer, Sarandeep Singh:
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data. CoRR abs/2405.02067 (2024) - [i3]William Lindskog, Christian Prehofer:
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks. CoRR abs/2405.02074 (2024) - [i2]William Lindskog, Valentin Spannagl, Christian Prehofer:
Federated Learning for Drowsiness Detection in Connected Vehicles. CoRR abs/2405.03311 (2024) - [i1]Yu-Wen Huang, Christian Prehofer, William Lindskog, Ron Puts, Pietro Mosca, Göran Kauermann:
Predictive Energy Management for Battery Electric Vehicles with Hybrid Models. CoRR abs/2405.10984 (2024) - 2023
- [c5]William Lindskog, Christian Prehofer, Sarandeep Singh:
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data. FMEC 2023: 182-189 - [c4]William Lindskog, Christian Prehofer:
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks. FMEC 2023: 239-246 - [c3]William Lindskog, Valentin Spannagl, Christian Prehofer:
Federated Learning for Drowsiness Detection in Connected Vehicles. INTSYS 2023: 165-178 - 2022
- [c2]William Lindskog, Christian Prehofer:
Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case. ICCP 2022: 105-111 - [c1]Yu-Wen Huang, Christian Prehofer, William Lindskog, Ron Puts, Pietro Mosca, Göran Kauermann:
Predictive Energy Management for Battery Electric Vehicles with Hybrid Models. INTSYS 2022: 182-196
Coauthor Index
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