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Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

, , , , , , , , , and . DS, volume 12323 of Lecture Notes in Computer Science, page 659-673. Springer, (2020)

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SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification., , , , and . SemEval@NAACL-HLT, page 64-70. The Association for Computer Linguistics, (2016)Assessment of Immune Status Using Inexpensive Cytokines: A Literature Review and Learning Approaches., , , , , , and . Sensors, 22 (24): 9785 (2022)Guest editorial: Special Issue - 13th International Conference on Natural Language and Information Systems (NLDB 2008)., , and . Data Knowl. Eng., 69 (3): 249-250 (2010)Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency., , and . Discovery Science, volume 8777 of Lecture Notes in Computer Science, page 168-179. Springer, (2014)Discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis., , , and . SAC, page 6-13. ACM, (2018)Tag-Aware Spectral Clustering of Music Items., , , and . ISMIR, page 159-164. International Society for Music Information Retrieval, (2009)Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments, , , , , , and . Frontiers in neuroscience, (2018)C-DenStream: Using Domain Knowledge on a Data Stream., , and . Discovery Science, volume 5808 of Lecture Notes in Computer Science, page 287-301. Springer, (2009)Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios, , , , , , , , , and 1 other author(s). JoVE (Journal of Visualized Experiments), (2020)Active Feature Acquisition for Opinion Stream Classification under Drift, , , , and . (2020)