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Fulufhelo Vincent Nelwamondo: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala
    Handling Missing Data from Heteroskedastic and Nonstationary Data. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2007, pp:1293-1302 [Conf]
  2. Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala
    Rough Sets Computations to Impute Missing Data [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  3. Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala
    Artificial Neural Networks and Support Vector Machines for Water Demand Time Series Forecasting [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  4. Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala
    Fuzzy Artmap and Neural Network Approach to Online Processing of Inputs with Missing Values [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  5. Unathi Mahola, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala
    HMM Speaker Identification Using Linear and Non-linear Merging Techniques [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  6. Sizwe M. Dhlamini, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala
    Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  7. Vukosi N. Marivate, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala
    Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  8. Rough Set Theory for the Treatment of Incomplete Data. [Citation Graph (, )][DBLP]


  9. Estimating Missing Data and Determining the Confidence of the Estimate Data. [Citation Graph (, )][DBLP]


  10. Investigating Demographic Influences for HIV Classification Using Bayesian Autoassociative Neural Networks. [Citation Graph (, )][DBLP]


  11. Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms. [Citation Graph (, )][DBLP]


  12. Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity. [Citation Graph (, )][DBLP]


  13. Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions. [Citation Graph (, )][DBLP]


  14. Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals. [Citation Graph (, )][DBLP]


  15. Improving Speaker Identification Rate Using Fractals. [Citation Graph (, )][DBLP]


  16. Artificial Neural Networks and Support Vector Machines for water demand time series forecasting. [Citation Graph (, )][DBLP]


  17. A Fingerprint Pattern Classification Approach Based on the Coordinate Geometry of Singularities. [Citation Graph (, )][DBLP]


  18. Two-Stage Inter-Cell Layout Design for Cellular Manufacturing by Using Ant Colony Optimization Algorithms. [Citation Graph (, )][DBLP]


  19. The Effect of Structural Diversity of an Ensemble of Classifiers on Classification Accuracy [Citation Graph (, )][DBLP]


  20. The use of entropy to measure structural diversity [Citation Graph (, )][DBLP]


  21. Relationship between Diversity and Perfomance of Multiple Classifiers for Decision Support [Citation Graph (, )][DBLP]


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