| The SeqWord Genome Browser: an online tool for the identification and visualization of atypical regions of bacterial genomes through oligonucleotide usage H Ganesan, AS Rakitianskaia, CF Davenport, B Tümmler, ON Reva BMC bioinformatics 9 (1), 333, 2008 | 46 | 2008 |
| Training feedforward neural networks with dynamic particle swarm optimisation AS Rakitianskaia, AP Engelbrecht Swarm Intelligence 6 (3), 233-270, 2012 | 29 | 2012 |
| Training neural networks with PSO in dynamic environments A Rakitianskaia, AP Engelbrecht IEEE Congress on Evolutionary Computation, 2009. CEC'09., 667-673, 2009 | 25 | 2009 |
| Cooperative charged particle swarm optimiser A Rakitianskaia, AP Engelbrecht IEEE Congress on Evolutionary Computation, 2008 (CEC'08, IEEE World Congress …, 2008 | 14 | 2008 |
| Saturation in PSO Neural Network Training: Good or Evil? A Rakitianskaia, A Engelbrecht IEEE Congress on Evolutionary Computation, 2015 (CEC'15), 2015 | 11 | 2015 |
| Weight regularisation in particle swarm optimisation neural network training A Rakitianskaia, A Engelbrecht 2014 IEEE Symposium on Swarm Intelligence (SIS), 1-8, 2014 | 11 | 2014 |
| Measuring saturation in neural networks A Rakitianskaia, A Engelbrecht 2015 IEEE Symposium Series on Computational Intelligence, 1423-1430, 2015 | 10 | 2015 |
| Training high-dimensional neural networks with cooperative particle swarm optimiser A Rakitianskaia, A Engelbrecht 2014 International Joint Conference on Neural Networks (IJCNN), 4011-4018, 2014 | 9 | 2014 |
| Unsupervised change detection in satellite images using convolutional neural networks KL de Jong, AS Bosman 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 8 | 2019 |
| Analysis of error landscapes in multi-layered neural networks for classification A Rakitianskaia, E Bekker, KM Malan, A Engelbrecht 2016 IEEE Congress on Evolutionary Computation (CEC), 5270-5277, 2016 | 8 | 2016 |
| Characterising neutrality in neural network error landscapes WA van Aardt, AS Bosman, KM Malan 2017 IEEE Congress on Evolutionary Computation (CEC), 1374-1381, 2017 | 6 | 2017 |
| Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions AS Bosman, A Engelbrecht, M Helbig Neurocomputing, 2020 | 5 | 2020 |
| Evolutionary neural architecture search for image restoration GJ van Wyk, AS Bosman 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 5 | 2019 |
| Progressive gradient walk for neural network fitness landscape analysis AS Bosman, AP Engelbrecht, M Helbig Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 5 | 2018 |
| Search space boundaries in neural network error landscape analysis AS Bosman, A Engelbrecht, M Helbig 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 5 | 2016 |
| Using Particle Swarm Optimisation to Train Feedforward Neural Networks in Dynamic Environments A Rakitianskaia University of Pretoria, 2012 | 4 | 2012 |
| Fitness landscape analysis of weight-elimination neural networks A Bosman, A Engelbrecht, M Helbig Neural Processing Letters 48 (1), 353-373, 2018 | 3 | 2018 |
| Loss surface modality of feed-forward neural network architectures AS Bosman, A Engelbrecht, M Helbig arXiv preprint arXiv:1905.10268, 2019 | 1 | 2019 |
| Black-Box Saliency Map Generation Using Bayesian Optimisation M Mokuwe, M Burke, AS Bosman arXiv preprint arXiv:2001.11366, 2020 | | 2020 |
| Fitness Landscape Analysis of Feed-Forward Neural Networks AS Bosman University of Pretoria, 2019 | | 2019 |
Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer ScienceVerified email at sun.ac.za
