1 citations · 2 across the 3 of their papers we have counts for
3 papers
Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data
Aneta Polewko-Klim, Witold R. Rudnicki
Discovery of diagnostic and prognostic molecular markers is important and actively pursued the research field in cancer research. For complex diseases, this process is often perfor…
Bootstrap Bias Corrected Cross Validation applied to Super Learning
Krzysztof Mnich, Agnieszka Kitlas Golińska, Aneta Polewko-Klim +1
Super learner algorithm can be applied to combine results of multiple base learners to improve quality of predictions. The default method for verification of super learner results…
MDFS - MultiDimensional Feature Selection
Radosław Piliszek, Krzysztof Mnich, Szymon Migacz +4
Identification of informative variables in an information system is often performed using simple one-dimensional filtering procedures that discard information about interactions be…