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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
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portfolio
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publications
Cooperative charged particle swarm optimiser
Published in In the proceedings of IEEE Congress on Evolutionary Computation, 2008
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Recommended citation: A. Rakitianskaia, A. Engelbrecht, "Cooperative charged particle swarm optimiser." In the proceedings of IEEE Congress on Evolutionary Computation, 2008.
Training neural networks with PSO in dynamic environments
Published in In the proceedings of IEEE Congress on Evolutionary Computation, 2009
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Recommended citation: A. Rakitianskaia, A. Engelbrecht, "Training neural networks with PSO in dynamic environments." In the proceedings of IEEE Congress on Evolutionary Computation, 2009.
Training feedforward neural networks with dynamic particle swarm optimisation
Published in Swarm Intelligence, 2012
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Recommended citation: Anna Rakitianskaia, Andries Engelbrecht, "Training feedforward neural networks with dynamic particle swarm optimisation." Swarm Intelligence, 2012.
Training high-dimensional neural networks with cooperative particle swarm optimiser
Published in In the proceedings of International Joint Conference on Neural Networks, 2014
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Recommended citation: A. Rakitianskaia, A. Engelbrecht, "Training high-dimensional neural networks with cooperative particle swarm optimiser." In the proceedings of International Joint Conference on Neural Networks, 2014.
Weight regularisation in particle swarm optimisation neural network training
Published in In the proceedings of IEEE Symposium on Swarm Intelligence, 2014
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Recommended citation: A. Rakitianskaia, A. Engelbrecht, "Weight regularisation in particle swarm optimisation neural network training." In the proceedings of IEEE Symposium on Swarm Intelligence, 2014.
Measuring saturation in neural networks
Published in In the proceedings of IEEE Symposium Series on Computational Intelligence, 2015
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Recommended citation: A. Rakitianskaia, A. Engelbrecht, "Measuring saturation in neural networks." In the proceedings of IEEE Symposium Series on Computational Intelligence, 2015.
Saturation in PSO Neural Network Training: Good or Evil?
Published in In the proceedings of IEEE Congress on Evolutionary Computation, 2015
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Recommended citation: A. Rakitianskaia, A. Engelbrecht, "Saturation in PSO Neural Network Training: Good or Evil?." In the proceedings of IEEE Congress on Evolutionary Computation, 2015.
Analysis of error landscapes in multi-layered neural networks for classification
Published in In the proceedings of IEEE Congress on Evolutionary Computation, 2016
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Recommended citation: A. Rakitianskaia, Eduan Bekker, Katherine Malan, A. Engelbrecht, "Analysis of error landscapes in multi-layered neural networks for classification." In the proceedings of IEEE Congress on Evolutionary Computation, 2016.
Search space boundaries in neural network error landscape analysis
Published in In the proceedings of IEEE Symposium Series on Computational Intelligence, 2016
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Recommended citation: Anna Bosman, Andries Engelbrecht, Marde Helbig, "Search space boundaries in neural network error landscape analysis." In the proceedings of IEEE Symposium Series on Computational Intelligence, 2016.
Characterising neutrality in neural network error landscapes
Published in In the proceedings of IEEE Congress on Evolutionary Computation, 2017
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Recommended citation: Willem Aardt, Anna Bosman, Katherine Malan, "Characterising neutrality in neural network error landscapes." In the proceedings of IEEE Congress on Evolutionary Computation, 2017.
Fitness Landscape Analysis of Weight-Elimination Neural Networks
Published in Neural Processing Letters, 2018
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Recommended citation: Anna Bosman, Andries Engelbrecht, Mard{\'e} Helbig, "Fitness Landscape Analysis of Weight-Elimination Neural Networks." Neural Processing Letters, 2018.
Progressive gradient walk for neural network fitness landscape analysis
Published in In the proceedings of Genetic and Evolutionary Computation Conference Companion, 2018
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Recommended citation: Anna Bosman, Andries Engelbrecht, Marde Helbig, "Progressive gradient walk for neural network fitness landscape analysis." In the proceedings of Genetic and Evolutionary Computation Conference Companion, 2018.
Evolutionary Neural Architecture Search for Image Restoration
Published in In the proceedings of IEEE International Joint Conference on Neural Networks, 2019
Recommended citation: Gerard Wyk, Anna Bosman, "Evolutionary Neural Architecture Search for Image Restoration." In the proceedings of IEEE International Joint Conference on Neural Networks, 2019. https://doi.org/10.1109/IJCNN.2019.8852417
Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks
Published in In the proceedings of IEEE International Joint Conference on Neural Networks, 2019
Recommended citation: Kevin Jong, Anna Bosman, "Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks." In the proceedings of IEEE International Joint Conference on Neural Networks, 2019. https://doi.org/10.1109/IJCNN.2019.8851762
Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions
Published in arXiv e-prints, 2019
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Recommended citation: Anna Bosman, Andries Engelbrecht, Mard{\'e} Helbig, "Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions." arXiv e-prints, 2019.
Fitness Landscape Analysis of Feed-Forward Neural Networks
Published in PhD Thesis, 2019
Access abstract and full text at the UP repository.
Recommended citation: Anna Sergeevna Bosman, "Fitness Landscape Analysis of Feed-Forward Neural Networks." PhD Thesis, University of Pretoria, South Africa, 2019.
Black-box saliency map generation using Bayesian optimisation
Published in In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2020
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Recommended citation: Mamuku Mokuwe, Michael Burke, Anna Bosman, "Black-box saliency map generation using Bayesian optimisation." In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2020.
Loss surface modality of feed-forward neural network architectures
Published in In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2020
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Recommended citation: Anna Bosman, Andries Engelbrecht, Mard{\'e} Helbig, "Loss surface modality of feed-forward neural network architectures." In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2020.
Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions
Published in Neurocomputing, 2020
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Recommended citation: Anna Bosman, Andries Engelbrecht, Mard{\'e} Helbig, "Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions." Neurocomputing, 2020.
Analysing the loss landscape features of generative adversarial networks
Published in In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021
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Recommended citation: Jarrod Moses, Katherine Malan, Anna Bosman, "Analysing the loss landscape features of generative adversarial networks." In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021.
Characterisation of environment type and difficulty for streamed data classification problems
Published in Information Sciences, 2021
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Recommended citation: Mathys Ellis, Anna Bosman, Andries Engelbrecht, "Characterisation of environment type and difficulty for streamed data classification problems." Information Sciences, 2021.
Hybridised loss functions for improved neural network generalisation
Published in In the proceedings of Pan-African Artificial Intelligence and Smart Systems Conference, 2021
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Recommended citation: Matthew Dickson, Anna Bosman, Katherine Malan, "Hybridised loss functions for improved neural network generalisation." In the proceedings of Pan-African Artificial Intelligence and Smart Systems Conference, 2021.
A Local Optima Network Analysis of the Feedforward Neural Architecture Space
Published in In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2022
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Recommended citation: Isak Potgieter, Christopher Cleghorn, Anna Bosman, "A Local Optima Network Analysis of the Feedforward Neural Architecture Space." In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2022.
ATLAS: Universal Function Approximator for Memory Retention
Published in arXiv preprint arXiv:2208.05388, 2022
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Recommended citation: Heinrich Deventer, Anna Bosman, "ATLAS: Universal Function Approximator for Memory Retention." arXiv preprint arXiv:2208.05388, 2022.
Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise
Published in In the proceedings of Artificial Intelligence Research: Third Southern African Conference, 2022
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Recommended citation: Thamsanqa Mlotshwa, Heinrich Deventer, Anna Bosman, "Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise." In the proceedings of Artificial Intelligence Research: Third Southern African Conference, 2022.
Convolutional neural networks for crack detection on flexible road pavements
Published in In the proceedings of International Conference on Soft Computing and Pattern Recognition, 2022
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Recommended citation: Hermann Tapamo, Anna Bosman, James Maina, Emile Horak, "Convolutional neural networks for crack detection on flexible road pavements." In the proceedings of International Conference on Soft Computing and Pattern Recognition, 2022.
Genetic Micro-Programs for Automated Software Testing with Large Path Coverage
Published in In the proceedings of IEEE Congress on Evolutionary Computation (CEC), 2022
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Recommended citation: Jarrod Goschen, Anna Bosman, Stefan Gruner, "Genetic Micro-Programs for Automated Software Testing with Large Path Coverage." In the proceedings of IEEE Congress on Evolutionary Computation (CEC), 2022.
KASAM: Spline Additive Models for Function Approximation
Published in arXiv preprint arXiv:2205.06376, 2022
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Recommended citation: Heinrich Deventer, Pieter Rensburg, Anna Bosman, "KASAM: Spline Additive Models for Function Approximation." arXiv preprint arXiv:2205.06376, 2022.
Denoising Diffusion Post-Processing for Low-Light Image Enhancement
Published in arXiv preprint arXiv:2303.09627, 2023
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Recommended citation: Savvas Panagiotou, Anna Bosman, "Denoising Diffusion Post-Processing for Low-Light Image Enhancement." arXiv preprint arXiv:2303.09627, 2023.
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
Published in arXiv preprint arXiv:2303.16912, 2023
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Recommended citation: Arn{\'e} Schreuder, Anna Bosman, Andries Engelbrecht, Christopher Cleghorn, "Training Feedforward Neural Networks with Bayesian Hyper-Heuristics." arXiv preprint arXiv:2303.16912, 2023.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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