Anna S. Bosman

According to our database, Anna S. Bosman authored at least 35 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks.

Reinhard Booysen, Anna Sergeevna Bosman

CoRR, 2024

Distal Interference: Exploring the Limits of Model-Based Continual Learning.

Heinrich van Deventer, Anna Sergeevna Bosman

CoRR, 2024

Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling.

Johannes J. Pienaar, Anna S. Bosman, Katherine M. Malan

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

Training Feedforward Neural Networks with Bayesian Hyper-Heuristics.

Arné Schreuder, Anna S. Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn

CoRR, 2023

Denoising Diffusion Post-Processing for Low-Light Image Enhancement.

Savvas Panagiotou, Anna S. Bosman

CoRR, 2023

Empirical Loss Landscape Analysis of Neural Network Activation Functions.

Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Quantifying and Visualizing the Sharpness of Attraction Basins in Neural Network Error Landscapes.

Isobel Bosman, Anna Sergeevna Bosman, Katherine Mary Malan

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models.

Moseli Mots'oehli, Anna Sergeevna Bosman, Johan Pieter de Villiers

CoRR, 2022

ATLAS: Universal Function Approximator for Memory Retention.

Heinrich van Deventer, Anna S. Bosman

CoRR, 2022

KASAM: Spline Additive Models for Function Approximation.

Heinrich van Deventer, Pieter Janse van Rensburg, Anna S. Bosman

CoRR, 2022

Hybridised Loss Functions for Improved Neural Network Generalisation.

Matthew C. Dickson, Anna S. Bosman, Katherine M. Malan

CoRR, 2022

Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise.

Thamsanqa Mlotshwa, Heinrich van Deventer, Anna Sergeevna Bosman

Proceedings of the Artificial Intelligence Research - Third Southern African Conference, 2022

A Local Optima Network Analysis of the Feedforward Neural Architecture Space.

Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman

Proceedings of the International Joint Conference on Neural Networks, 2022

Genetic Micro-Programs for Automated Software Testing with Large Path Coverage.

Jarrod Goschen, Anna S. Bosman, Stefan Gruner

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Characterisation of environment type and difficulty for streamed data classification problems.

Mathys Ellis, Anna S. Bosman, Andries P. Engelbrecht

Inf. Sci., 2021

Analysing the loss landscape features of generative adversarial networks.

Jarrod Moses, Katherine M. Malan, Anna S. Bosman

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions.

Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig

Neurocomputing, 2020

Black-Box Saliency Map Generation Using Bayesian Optimisation.

Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Loss Surface Modality of Feed-Forward Neural Network Architectures.

Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Evolutionary Neural Architecture Search for Image Restoration.

Gerard Jacques van Wyk, Anna Sergeevna Bosman

Proceedings of the International Joint Conference on Neural Networks, 2019

Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks.

Kevin Louis de Jong, Anna Sergeevna Bosman

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Fitness Landscape Analysis of Weight-Elimination Neural Networks.

Anna S. Bosman, Andries P. Engelbrecht, Mardé Helbig

Neural Process. Lett., 2018

Progressive gradient walk for neural network fitness landscape analysis.

Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Characterising neutrality in neural network error landscapes.

Willem Abraham van Aardt, Anna Sergeevna Bosman, Katherine Mary Malan

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Search space boundaries in neural network error landscape analysis.

Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Analysis of error landscapes in multi-layered neural networks for classification.

Anna S. Rakitianskaia, Eduan Bekker, Katherine M. Malan, Andries P. Engelbrecht

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Measuring Saturation in Neural Networks.

Anna S. Rakitianskaia, Andries P. Engelbrecht

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Saturation in PSO neural network training: Good or evil?

Anna S. Rakitianskaia, Andries P. Engelbrecht

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Weight regularisation in particle swarm optimisation neural network training.

Anna S. Rakitianskaia, Andries P. Engelbrecht

Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Training high-dimensional neural networks with cooperative particle swarm optimiser.

Anna S. Rakitianskaia, Andries P. Engelbrecht

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Synchronizing to Learn and Like.

Roy Vink, Anna S. Bosman, Toon Cillessen

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Training feedforward neural networks with dynamic particle swarm optimisation.

Anna S. Rakitianskaia, Andries P. Engelbrecht

Swarm Intell., 2012

2009

Training neural networks with PSO in dynamic environments.

Anna S. Rakitianskaia, Andries P. Engelbrecht

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

The SeqWord Genome Browser: an online tool for the identification and visualization of atypical regions of bacterial genomes through oligonucleotide usage.

Hamilton Ganesan, Anna S. Rakitianskaia, Colin F. Davenport, Burkhard Tümmler, Oleg N. Reva

BMC Bioinform., 2008

Cooperative charged particle swarm optimiser.

Anna S. Rakitianskaia, Andries P. Engelbrecht

Proceedings of the IEEE Congress on Evolutionary Computation, 2008