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Št. zadetkov: 5
Descriptive modeling in social sciences
Dragan Gamberger
Video in druga učna gradiva
Oznake: computer science;machine learning;artificial intelligence
Leto: 2013 Vir: videolectures.net
Subgroup discovery experiments in functional genomics
Dragan Gamberger
Video in druga učna gradiva
Oznake: computer science;bioinformatics
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The danger of data overfitting is crucial in such domains. To avoid this pitfall and achieve predictor robustness, state-of-art a ...
Leto: 2004 Vir: videolectures.net
Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy
Goran Krstačić, Dragan Gamberger
Izvirni znanstveni članek
Oznake: heart rate variability;nonlinear dynamics;chaos theory;stress-induced cardiomyopathy;Takotsubo syndrome;
Complexity-based analyses may quantify abnormalities in heart rate variability (HRV). The aim of this study was to investigate the clinical and prognostic significances of dynamic HRV changes in patients with stress-induced cardiomyopathy Takotsubo syndrome (TS) by means of linear and nonlinear anal ...
Leto: 2012 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer's disease
Dragan Gamberger, Nada Lavrač
Izvirni znanstveni članek
Oznake: Alzheimer's disease;rapid decliners;data clustering;mild cognitive impairment;
The heterogeneity of Alzheimer’s disease contributes to the high failure rate of prior clinical trials. We analyzed 5-year longitudinal outcomes and biomarker data from 562 subjects with mild cognitive impairment (MCI) from two national studies (ADNI) using a novel multilayer clustering algorithm. T ...
Leto: 2017 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Explicit feature construction and manipulation for covering rule learning algorithms
Nada Lavrač, Johannes Fürnkranz, Dragan Gamberger
Samostojni znanstveni sestavek ali poglavje v monografski publikaciji
Oznake: machine learning;feature construction;rule learning;unknown attribute values;
Features are the main rule building blocks for rule learning algorithms. They can be simple tests for attribute values or complex logical terms representing available domain knowledge. In contrast to common practice in classification rule learning, we argue that separation of the feature constructio ...
Leto: 2010 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 5
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