Fulufhelo Vincent Nelwamondo

	2008
20		Jaisheel Mistry, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Estimating Missing Data and Determining the Confidence of the Estimate Data. ICMLA 2008: 752-755
19		Nthabiseng Hlalele, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms. ICONIP (2) 2008: 485-492
18		Lesedi Melton Masisi, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity. ICONIP (2) 2008: 517-524
17		Jaisheel Mistry, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Investigating Demographic Influences for HIV Classification Using Bayesian Autoassociative Neural Networks. ICONIP (2) 2008: 752-759
16		Lesedi Melton Masisi, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: The Effect of Structural Diversity of an Ensemble of Classifiers on Classification Accuracy CoRR abs/0804.4741: (2008)
15		Lesedi Melton Masisi, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: The use of entropy to measure structural diversity CoRR abs/0810.3525: (2008)
14		R. Musehane, F. Netshiongolwe, Fulufhelo Vincent Nelwamondo, Lesedi Melton Masisi, Tshilidzi Marwala: Relationship between Diversity and Perfomance of Multiple Classifiers for Decision Support CoRR abs/0810.3865: (2008)
13		Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Water Demand Prediction using Artificial Neural Networks and Support Vector Regression. JCP 3(11): 1-8 (2008)
	2007
12		Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Rough Set Theory for the Treatment of Incomplete Data. FUZZ-IEEE 2007: 1-6
11		Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions. IJCNN 2007: 13-18
10		Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Handling Missing Data from Heteroskedastic and Nonstationary Data. ISNN (1) 2007: 1293-1302
9		Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Artificial Neural Networks and Support Vector Machines for water demand time series forecasting. SMC 2007: 638-643
8		Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Rough Sets Computations to Impute Missing Data CoRR abs/0704.3635: (2007)
7		Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Artificial Neural Networks and Support Vector Machines for Water Demand Time Series Forecasting CoRR abs/0705.0969: (2007)
6		Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Fuzzy Artmap and Neural Network Approach to Online Processing of Inputs with Missing Values CoRR abs/0705.1031: (2007)
5		Unathi Mahola, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: HMM Speaker Identification Using Linear and Non-linear Merging Techniques CoRR abs/0705.1585: (2007)
4		Sizwe M. Dhlamini, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing CoRR abs/0705.2516: (2007)
3		Vukosi N. Marivate, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala: Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation CoRR abs/0709.2506: (2007)
	2006
2		Fulufhelo Vincent Nelwamondo, Unathi Mahola, Tshilidzi Marwala: Improving Speaker Identification Rate Using Fractals. IJCNN 2006: 3231-3236
1		Tshilidzi Marwala, Unathi Mahola, Fulufhelo Vincent Nelwamondo: Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals. IJCNN 2006: 3237-3242

Coauthor Index

1	Sizwe M. Dhlamini	[4]
2	Nthabiseng Hlalele	[19]
3	Unathi Mahola	[1] [2] [5]
4	Vukosi N. Marivate	[3]
5	Tshilidzi Marwala	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20]
6	Lesedi Melton Masisi	[14] [15] [16] [18]
7	Jaisheel Mistry	[17] [20]
8	Ishmael S. Msiza	[7] [9] [11] [13]
9	R. Musehane	[14]
10	F. Netshiongolwe	[14]