4 Publikationen
2023 | Konferenzband - Beitrag | ELSA-ID: 10312 | 
J. Potthast, V. Grimm, and J. Rubart, Immersive Exploration of Machine Learning Data Combining Visual Analytics with Explainable AI. Gesellschaft für Informatik e.V., 2023. doi: 10.18420/muc2023-mci-ws16-389.
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2023 | Konferenzband - Beitrag | ELSA-ID: 10789
V. Grimm, J. Potthast, and J. Rubart, Motivational Exploration of Explanations in Industrial Analytics. IEEE, 2023, pp. 1–6. doi: 10.1109/INDIN51400.2023.10217864.
ELSA
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2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9162
J. Rubart, V. Grimm, and J. Potthast, “Augmenting Industrial Control Rooms with Multimodal Collaborative Interaction Techniques,” Journal Future Internet, vol. 14, no. 8, pp. 1–18, 2022, doi: https://doi.org/10.3390/fi14080224.
ELSA
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2022 | Konferenzband - Beitrag | ELSA-ID: 9163
J. Potthast, V. Grimm, and J. Rubart, Immersive Experience of Multidimensional Data using Mixed Reality based Scatterplots. NY, USA: ACM Press, 2022, pp. 594–596. doi: https://doi.org/10.1145/3543758.3547515.
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4 Publikationen
2023 | Konferenzband - Beitrag | ELSA-ID: 10312 |
J. Potthast, V. Grimm, and J. Rubart, Immersive Exploration of Machine Learning Data Combining Visual Analytics with Explainable AI. Gesellschaft für Informatik e.V., 2023. doi: 10.18420/muc2023-mci-ws16-389.
ELSA
| DOI
| Download (ext.)
2023 | Konferenzband - Beitrag | ELSA-ID: 10789
V. Grimm, J. Potthast, and J. Rubart, Motivational Exploration of Explanations in Industrial Analytics. IEEE, 2023, pp. 1–6. doi: 10.1109/INDIN51400.2023.10217864.
ELSA
| DOI
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9162
J. Rubart, V. Grimm, and J. Potthast, “Augmenting Industrial Control Rooms with Multimodal Collaborative Interaction Techniques,” Journal Future Internet, vol. 14, no. 8, pp. 1–18, 2022, doi: https://doi.org/10.3390/fi14080224.
ELSA
| DOI
2022 | Konferenzband - Beitrag | ELSA-ID: 9163
J. Potthast, V. Grimm, and J. Rubart, Immersive Experience of Multidimensional Data using Mixed Reality based Scatterplots. NY, USA: ACM Press, 2022, pp. 594–596. doi: https://doi.org/10.1145/3543758.3547515.
ELSA
| DOI
| Download (ext.)
| WoS