Publications in 2020

2020

BibSonomy

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

Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison. Scientific Reports, (10)1:16411, 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

Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms. International Journal of Computer Assisted Radiology and Surgery, 2020. URL

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

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

Plantar temperatures in stance position: A comparative study with healthy volunteers and diabetes patients diagnosed with sensoric neuropathy. EBioMedicine, (54):102712, 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.

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