Publications in 2019

2019

BibSonomy

Active Feature Acquistion for Opinion Stream Classification under Drift. Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), 108--111, 2019. URL

Editorial: Towards an Understanding of Tinnitus Heterogeneity. Frontiers in aging neuroscience, (11)2019.

Temporal Density Extrapolation using a Dynamic Basis Approach.. In K. Borgwardt, Po-Ling Loh, Evimaria Terzi, and Antti Ukkonen (Eds.), Data Mining and Knowledge Discovery, (Special Issue of the ECML/PKDD 2019 Journal Track)2019. URL

Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.

Introduction to the special issue on social data analytics in medicine and healthcare. International Journal of Data Science and Analytics, (8)4:325--326, Nov 1, 2019. URL

Applicability of Immersive Analytics in Mixed Reality: Usability Study. IEEE Access, (7)2019.

Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus--stress associations based on the TrackYourTinnitus mobile platform. International Journal of Data Science and Analytics, (8)4:327--338, Nov 1, 2019. URL

Visual Analytics for Epidemiological Cohort Studies. Proc. of Eurographics Medical Price, 2019. URL

Visual Analysis of Missing Values in Longitudinal Cohort Study Data. Computer Graphics Forum, to appear, 2019. URL

Exploiting Entity Information for Stream Classification over a Stream of Reviews. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 564-573, ACM, 2019. URL

Assessing the reliability of crowdsourced labels via Twitter. Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", 2019. URL

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. International Journal of Data Science and Analytics, 2019. URL

Applying Machine Learning on the Daily Life Data of the TrackYourTinnitus mHealth Crowdsensing Platform Predicts the Mobile Operating System with High Accuracy. 2019.

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