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Vasile Georgescu
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2010 – 2019
- 2017
- [j2]Vasile Georgescu:
Using genetic algorithms to evolve type-2 fuzzy logic systems for predicting bankruptcy. Kybernetes 46(1): 142-156 (2017) - 2016
- [c10]Vasile Georgescu, Florentina Mihaela Apipie:
Evolving Improved Neural Network Classifiers for Bankruptcy Prediction by Hybridization of Nature Inspired Algorithms. MS 2016: 40-50 - [c9]Vasile Georgescu:
Exploring the Potential of Cuckoo Search Algorithm for Classification and Function Approximation. MS 2016: 186-194 - 2015
- [c8]Vasile Georgescu, Sorin-Manuel Delureanu:
Fuzzy-valued and complex-valued time series analysis using multivariate and complex extensions to singular spectrum analysis. FUZZ-IEEE 2015: 1-8 - 2014
- [j1]Vasile Georgescu:
Joint propagation of ontological and epistemic uncertainty across risk assessment and fuzzy time series models. Comput. Sci. Inf. Syst. 11(2): 881-904 (2014) - 2011
- [c7]Vasile Georgescu:
A Novel and Effective Approach to Shape Analysis: Nonparametric Representation, De-noising and Change-Point Detection, Based on Singular-Spectrum Analysis. MDAI 2011: 162-173 - [c6]Vasile Georgescu:
A SSA-Based New Framework Allowing for Smoothing and Automatic Change-Points Detection in the Fuzzy Closed Contours of 2D Fuzzy Objects. MDAI 2011: 174-185 - 2010
- [c5]Vasile Georgescu:
A Computational Intelligence Based Framework for One-Subsequence-Ahead Forecasting of Nonstationary Time Series. MDAI 2010: 187-194
2000 – 2009
- 2009
- [c4]Vasile Georgescu:
Clustering of Fuzzy Shapes by Integrating Procrustean Metrics and Full Mean Shape Estimation into K-Means Algorithm. IFSA/EUSFLAT Conf. 2009: 1679-1684 - [c3]Vasile Georgescu:
Generalizations of Fuzzy C-Means Algorithm to Granular Feature Spaces, based on Underlying Metrics: Issues and Related Works. IFSA/EUSFLAT Conf. 2009: 1791-1796 - 2005
- [c2]Vasile Georgescu:
A Formal Framework and New Related Methods when Fancing with Granularity in Unsupervised Learning. EUSFLAT Conf. 2005: 124-129 - 2004
- [c1]Vasile Georgescu:
A Generalization of Symbolic Data Analysis Allowing the Processing of Fuzzy Granules. MDAI 2004: 215-226
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