Applied Intelligent Systems - AISLab
Thema: D1NAMO
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Publikationen für Thema: D1NAMO sortiert nach Aktualität
| , , , , und , The open D1NAMO dataset: A multi-modal dataset for research on non-invasive type 1 diabetes management (2018), in: Informatics in Medicine Unlocked, 13(92-100) |
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| , , und , Indexing the Event Calculus with Kd-trees to Monitor Diabetes (2017), in: arXiv.org |
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| , , und , Semantic representation and processing of hypoglycemic events derived from wearable sensor data (2017), in: Journal of Ambient Intelligence and Smart environments JAISE, 9:1(97--109) |
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| , , und , Negative results for the prediction of postprandial hypoglycemias from insulin intakes and carbohydrates: analysis and comparison with simulated data, in: Workshop Artificial Intelligence for Diabetes, 16th Conference on Artificial Intelligence in Medicine (AIME 2017), AIME, Vienna, Austria, 2017 |
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| , , und , Detection of Hypoglycemic Events through Wearable Sensors, in: Proceedings of the 1st Workshop on Semantic Web Technologies for Mobile and Pervasive Environments co-located with the 13th Extended Semantic Web Conference (ESWC 2016), Heraklion, Greece, May 29, 2016., Seiten 21--26, 2016 |
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| , , und , D1NAMO, A Personal Health System for Glycemic Events Detection, in: Workshop Artificial Intelligence for Diabetes, 22nd European Conference on Artificial Intelligence (ECAI 2016), ECAI, The Hague, Netherlands, 2016 |
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| , und , A Python Framework for Exhaustive Machine Learning Algorithms and Features Evaluations, IEEE, Crans-Montana, Switzerland, Seiten 987-993, 2016 |
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