13 citations · 31 across the 10 of their papers we have counts for
10 papers
Temporal Feature Extractors in EEG Foundation Models: A Controlled Comparison Including a Pretrained Time-Series Model
Ayşe Betül Yüce, Chris Joey Leffler, Sarun Varghese +2
Electroencephalography (EEG) foundation models aim to learn generalizable representations from large-scale brain recordings. However, the role of temporal feature extractors and wh…
Training and Validating a Treatment Recommender with Partial Verification Evidence
Vishnu Unnikrishnan, Clara Puga, Miro Schleicher +11
Current clinical decision support systems (DSS) are trained and validated on observational data from the target clinic. This is problematic for treatments validated in a randomized…
A cost-based multi-layer network approach for the discovery of patient phenotypes
Clara Puga, Uli Niemann, Winfried Schlee +1
Clinical records frequently include assessments of the characteristics of patients, which may include the completion of various questionnaires. These questionnaires provide a varie…
Probabilistic Active Learning for Active Class Selection
Daniel Kottke, Georg Krempl, Marianne Stecklina +6
In machine learning, active class selection (ACS) algorithms aim to actively select a class and ask the oracle to provide an instance for that class to optimize a classifier's perf…
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces
Rafi Trad, Myra Spiliopoulou
Authorial clustering involves the grouping of documents written by the same author or team of authors without any prior positive examples of an author's writing style or thematic p…
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data
Uli Niemann, Atrayee Neog, Benjamin Behrendt +5
An accurate assessment of the cardiovascular system and prediction of cardiovascular diseases (CVDs) are crucial. Measured cardiac blood flow data provide insights about patient-sp…
How Does Tweet Difficulty Affect Labeling Performance of Annotators?
Stefan Räbiger, Yücel Saygın, Myra Spiliopoulou
Crowdsourcing is a popular means to obtain labeled data at moderate costs, for example for tweets, which can then be used in text mining tasks. To alleviate the problem of low-qual…
Visual Subpopulation Discovery and Validation in Cohort Study Data
Shiva Alemzadeh, Tommy Hielscher, Uli Niemann +5
Epidemiology aims at identifying subpopulations of cohort participants that share common characteristics (e.g. alcohol consumption) to explain risk factors of diseases in cohort st…
Incremental Active Opinion Learning Over a Stream of Opinionated Documents
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Applications that learn from opinionated documents, like tweets or product reviews, face two challenges. First, the opinionated documents constitute an evolving stream, where both…
Data Mining to Measure and Improve the Success of Web Sites
Myra Spiliopoulou, Carsten Pohle
For many companies, competitiveness in e-commerce requires a successful presence on the web. Web sites are used to establish the company's image, to promote and sell goods and to p…