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Mlungisi Duma
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Journal Articles
- 2025
- [j5]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala:
Control parameter optimisation using the evidence framework for the ant colony optimisation algorithm. Inf. Sci. 690: 121533 (2025) - 2019
- [j4]Mlungisi Duma, Bhekisipho Twala:
Sparseness reduction in collaborative filtering using a nearest neighbour artificial immune system with genetic algorithms. Expert Syst. Appl. 132: 110-125 (2019) - 2018
- [j3]Mlungisi Duma, Bhekisipho Twala:
Optimising latent features using artificial immune system in collaborative filtering for recommender systems. Appl. Soft Comput. 71: 183-198 (2018) - 2013
- [j2]Mlungisi Duma, Tshilidzi Marwala, Bhekisipho Twala, Fulufhelo V. Nelwamondo:
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm. Appl. Soft Comput. 13(12): 4461-4480 (2013) - 2012
- [j1]Mlungisi Duma, Bhekisipho Twala, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Predictive Modeling with Missing Data using an Automatic Relevance Determination Ensemble: a Comparative Study. Appl. Artif. Intell. 26(10): 967-984 (2012)
Conference and Workshop Papers
- 2012
- [c3]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo:
Classification with missing data using multi-layered artificial immune systems. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c2]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection. ICINCO (1) 2011: 203-210 - [c1]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study. IJCCI (NCTA) 2011: 340-346
Informal and Other Publications
- 2011
- [i1]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala:
Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection. CoRR abs/1108.4551 (2011)
Coauthor Index
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