Missing data: A comparison of neural network and expectation maximization techniques FV Nelwamondo, S Mohamed, T Marwala Current Science, 1514-1521, 2007 | 186 | 2007 |
Early classifications of bearing faults using hidden Markov models, Gaussian mixture models, mel-frequency cepstral coefficients and fractals FV Nelwamondo, T Marwala, U Mahola International Journal of Innovative Computing, Information and Control 2 (6 …, 2006 | 121 | 2006 |
Water demand prediction using artificial neural networks and support vector regression IS Msiza, FV Nelwamondo, T Marwala Academy Publisher, 2008 | 100 | 2008 |
A dynamic programming approach to missing data estimation using neural networks FV Nelwamondo, D Golding, T Marwala Information Sciences 237, 49-58, 2013 | 76 | 2013 |
Artificial neural networks and support vector machines for water demand time series forecasting IS Msiza, FV Nelwamondo, T Marwala 2007 IEEE International Conference on Systems, Man and Cybernetics, 638-643, 2007 | 70 | 2007 |
The use of entropy to measure structural diversity L Masisi, V Nelwamondo, T Marwala Computational Cybernetics, 2008. ICCC 2008. IEEE International Conference on …, 2008 | 57 | 2008 |
Faults detection using gaussian mixture models, mel-frequency cepstral coefficients and kurtosis FV Nelwamondo, T Marwala 2006 IEEE International Conference on systems, man and cybernetics 1, 290-295, 2006 | 57 | 2006 |
Hidden Markov models and Gaussian mixture models for bearing fault detection using fractals T Marwala, U Mahola, FV Nelwamondo The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 54 | 2006 |
A fingerprint pattern classification approach based on the coordinate geometry of singularities IS Msiza, B Leke-Betechuoh, FV Nelwamondo, N Msimang 2009 IEEE International Conference on Systems, Man and Cybernetics, 510-517, 2009 | 38 | 2009 |
Water demand forecasting using multi-layer perceptron and radial basis functions IS Msiza, FV Nelwamondo, T Marwala 2007 International Joint Conference on Neural Networks, 13-18, 2007 | 36 | 2007 |
Applying cost-sensitive classification for financial fraud detection under high class-imbalance SO Moepya, SS Akhoury, FV Nelwamondo 2014 IEEE international conference on data mining workshop, 183-192, 2014 | 34 | 2014 |
Rough set theory for the treatment of incomplete data FV Nelwamondo, T Marwala 2007 IEEE International Fuzzy Systems Conference, 1-6, 2007 | 31 | 2007 |
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm M Duma, T Marwala, B Twala, F Nelwamondo Applied Soft Computing 13 (12), 4461-4480, 2013 | 30 | 2013 |
Techniques for handling missing data: applications to online condition monitoring FV Nelwamondo, T Marwala International Journal of Innovative Computing, Information and Control 4 (6 …, 2008 | 30 | 2008 |
A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack NNP Mkuzangwe, FV Nelwamondo Asian conference on intelligent information and database systems, 14-22, 2017 | 28 | 2017 |
Fingerprint segmentation: An investigation of various techniques and a parameter study of a variance-based method IS Msiza, ME Mathekga, FV Nelwamondo, T Marwala International Journal of Innovative Computing, Information, and Control …, 2011 | 27 | 2011 |
Computational intelligence techniques for missing data imputation FV Nelwamondo University of the Witwatersrand, 2008 | 27 | 2008 |
Artificial intelligence in reverse supply chain management: the state of the art B Xing, WJ Gao, K Battle, T Marwala, FV Nelwamondo arXiv preprint arXiv:1012.4046, 2010 | 23 | 2010 |
Missing data estimation using principle component analysis and autoassociative neural networks FJ Mistry, FV Nelwamondo, T Marwala Journal of Systemics, Cybernatics and Informatics 7 (3), 72-79, 2009 | 23 | 2009 |
Fuzzy artmap and neural network approach to online processing of inputs with missing values FV Nelwamondo, T Marwala SAIEE Africa Research Journal 98 (2), 45-51, 2007 | 21 | 2007 |