activity
20002026
most citedData Mining to Measure and Improve the Success of Web Sites

13 citations · 31 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.LG2024

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…

cs.LG2022

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…

cs.LG2021★ 5 cited

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…

cs.LG2020★ 3 cited

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…

cs.LG2000★ 13 cited

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…