Publications in 2020
Assessing the Difficulty of Labelling an Instance in Crowdworking.. 2nd Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning@ ECML PKDD 2020, 2020.
Visual Analysis of Missing Values in Longitudinal Cohort Study Data. Computer Graphics Forum, (39)1:63-75, 2020. URL
Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. In Michael R. Berthold, Ad Feelders, and Georg Krempl (Eds.), Advances in Intelligent Data Analysis XVIII, 1--13, Springer International Publishing, Cham, 2020. URL
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. arXiv preprint arXiv:2011.15038, 2020.
Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison. Scientific Reports, (10)1:16411, 2020. URL
Resource management for model learning at entity level. Annals of Telecommunications, (75)9-10:549--561, Springer Science and Business Media LLC, August 2020. URL
Gender-Specific Differences in Patients With Chronic Tinnitus—Baseline Characteristics and Treatment Effects. Frontiers in Neuroscience, (14):487, 2020. URL
Resource management for model learning at entity level. Annals of Telecommunications, Aug 29, 2020. URL
The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications. Brain Sciences, (10)122020. URL
Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms. International Journal of Computer Assisted Radiology and Surgery, (15)9:1525--1535, 2020. URL
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data. arXiv preprint arXiv:2010.05612, 2020.
Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variables. PLOS ONE, (15)1:1-18, Public Library of Science, January 2020. URL
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios. JoVE (Journal of Visualized Experiments), 164:e61349, 2020.
Active feature acquisition on data streams under feature drift.. Ann. des Télécommunications, (75)9-10:597-611, 2020. URL
Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring. Scientific Reports, (10)1Springer Science and Business Media LLC, December 2020. URL
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?. In Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, and Stan Matwin (Eds.), DS, (12323):659-673, Springer, 2020. URL
Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics. Scientific Reports, (10)1:4664, 2020. URL
Active feature acquisition on data streams under feature drift. Annals of Telecommunications, Jul 8, 2020. URL
Machine learning identifies the dynamics and influencing factors in an auditory category learning experiment. Scientific reports, (10)1:1--12, Nature Publishing Group, 2020.