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Jim Ahlstrand

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2020 – today

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2024
[c5]
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Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn:
Predicting B2B Customer Churn using a Time Series Approach. IDSTA 2024: 44-51
2023
[c4]
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Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn:
Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles. SAIS 2023: 68-76
2021
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Anton Borg, Martin Boldt, Oliver Rosander, Jim Ahlstrand:
E-mail classification with machine learning and word embeddings for improved customer support. Neural Comput. Appl. 33(6): 1881-1902 (2021)
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Anton Borg, Jim Ahlstrand:
Detecting Non-routine Customer Support E-Mails. ICEIS (1) 2021: 387-394
2020
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Anton Borg, Jim Ahlstrand, Martin Boldt:
Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation and a Practical Use Case. ICEIS (Revised Selected Papers) 2020: 100-121
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Anton Borg, Jim Ahlstrand, Martin Boldt:
Predicting e-Mail Response Time in Corporate Customer Support. ICEIS (1) 2020: 305-314

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