8 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.AI2016
Missing Data Estimation in High-Dimensional Datasets: A Swarm Intelligence-Deep Neural Network Approach
Collins Leke, Tshilidzi Marwala
In this paper, we examine the problem of missing data in high-dimensional datasets by taking into consideration the Missing Completely at Random and Missing at Random mechanisms, a…
cs.NE2015★ 5 cited
Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms
Collins Leke, Tshilidzi Marwala, Satyakama Paul
In the last couple of decades, there has been major advancements in the domain of missing data imputation. The techniques in the domain include amongst others: Expectation Maximiza…
cs.NE2014★ 8 cited
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms
Collins Leke, Bhekisipho Twala, T. Marwala
This paper presents methods which are aimed at finding approximations to missing data in a dataset by using optimization algorithms to optimize the network parameters after which p…