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Joel Persson

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2020 – today

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2024
[i3]
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  - journals/corr/abs-2407-04472
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  - https://dblp.org/rec/journals/corr/abs-2407-04472
Hannes Kunstmann, Joseph Ollier, Joel Persson, Florian von Wangenheim:
EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context. CoRR abs/2407.04472 (2024)
2023
[b1]
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  - phd/basesearch/Persson23
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Joel Persson:
Causal Machine Learning for Data-Driven Decision-Making: Methods and Applications. ETH Zurich, Zürich, Switzerland, 2023
2022
[c2]
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  - conf/mlhc/BlumleinPF22
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Theresa Blümlein, Joel Persson, Stefan Feuerriegel:
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. MLHC 2022: 146-171
[i2]
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  - journals/corr/abs-2204-07124
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Theresa Blümlein, Joel Persson, Stefan Feuerriegel:
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. CoRR abs/2204.07124 (2022)
2021
[c1]
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  - conf/kdd/SchwabePF21
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Amray Schwabe, Joel Persson, Stefan Feuerriegel:
Predicting COVID-19 Spread from Large-Scale Mobility Data. KDD 2021: 3531-3539
[i1]
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  - journals/corr/abs-2106-00356
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Amray Schwabe, Joel Persson, Stefan Feuerriegel:
Predicting COVID-19 Spread from Large-Scale Mobility Data. CoRR abs/2106.00356 (2021)

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