Publications in 2018

2018

BibSonomy

Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 65-70, 2018.

Predicting worker disagreement for more effective crowd labeling. 2018 IEEE 5th International Conference on Data Science andAdvanced Analytics (DSAA), 179--188, 2018.

Patient Empowerment Through Summarization of Discussion Threads on Treatments in a Patient Self-help Forum. In Nicos Maglaveras, Ioanna Chouvarda, and Paulo de Carvalho (Eds.), Precision Medicine Powered by pHealth and Connected Health: ICBHI 2017, Thessaloniki, Greece, 18-21 November 2017, 229-233, Springer Singapore, 2018. URL

Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases. IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 239 -243, 2018.

Learning under Feature Drifts in Textual Streams. Proceedings of the 27th ACM International Conference on Information and Knowledge Management - CIKM '18, 527 -536, 2018.

Predicting Document Polarities on a Stream without Reading their Contents. Proceedings of the Symposium on Applied Computing (SAC), 2018.

A Framework for Expert-Driven Subpopulation Discovery and Evaluation Using Subspace Clustering for Epidemiological Data. Expert Systems with Applications, (113):147 - 160, 2018. URL

Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 48-53, 2018.

Finding Tinnitus Patients with Similar Evolution of their Ecological Momentary Assessments. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 112-117, 2018.

Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments. Frontiers in neuroscience, (12)2018.

Personalized recommender systems for product-line configuration processes. Computer Languages, Systems & Structures, 2018. URL

Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform. IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 411 -416, 2018.

Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. 2018.

Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 239-243, 2018.

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):327 -338, 2018.

Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 88-93, 2018.

How do annotators label short texts? Toward understanding the temporal dynamics of tweet labeling. Information Sciences, (457–458):29-47, 2018.

Letzte Änderung: 21.12.2018 - Ansprechpartner: