activity
20072010
most citedMissing Data: A Comparison of Neural Network and Expectation Maximisation Techniques

27 citations · 115 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.AI201013 cited

Artificial Intelligence in Reverse Supply Chain Management: The State of the Art

Bo Xing, Wen-Jing Gao, Kimberly Battle +2

Product take-back legislation forces manufacturers to bear the costs of collection and disposal of products that have reached the end of their useful lives. In order to reduce thes…

cs.AI20083 cited

Relationship between Diversity and Perfomance of Multiple Classifiers for Decision Support

R. Musehane, F. Netshiongolwe, F. V. Nelwamondo +2

The paper presents the investigation and implementation of the relationship between diversity and the performance of multiple classifiers on classification accuracy. The study is c…

cs.AI200717 cited

Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation

Vukosi N. Marivate, Fulufhelo V. Nelwamodo, Tshilidzi Marwala

Data collection often results in records that have missing values or variables. This investigation compares 3 different data imputation models and identifies their merits by using…

cs.AI20073 cited

Fuzzy Artmap and Neural Network Approach to Online Processing of Inputs with Missing Values

F. V. Nelwamondo, T. Marwala

An ensemble based approach for dealing with missing data, without predicting or imputing the missing values is proposed. This technique is suitable for online operations of neural…

cs.AI200715 cited

Artificial Neural Networks and Support Vector Machines for Water Demand Time Series Forecasting

Ishmael S. Msiza, Fulufhelo V. Nelwamondo, Tshilidzi Marwala

Water plays a pivotal role in many physical processes, and most importantly in sustaining human life, animal life and plant life. Water supply entities therefore have the responsib…