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Anna S. Bosman
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- affiliation: University of Pretoria, Department of Biochemistry, Bioinformatics and Computational Biology Unit, South Africa
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2020 – today
- 2025
- [j9]Arné Schreuder, Anna S. Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn:
Training feedforward neural networks with Bayesian hyper-heuristics. Inf. Sci. 686: 121363 (2025) - 2024
- [j8]Mathys Ellis
, Anna S. Bosman
Regularised feed forward neural networks for streamed data classification problems. Eng. Appl. Artif. Intell. 133: 108555 (2024) - [j7]Reinhard Booysen, Anna Sergeevna Bosman
Multi-objective Evolutionary Neural Architecture Search for Recurrent Neural Networks. Neural Process. Lett. 56(4): 200 (2024) - [j6]Savvas Panagiotou
Denoising diffusion post-processing for low-light image enhancement. Pattern Recognit. 156: 110799 (2024) - [c22]Johannes J. Pienaar, Anna S. Bosman
Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling. EvoApplications@EvoStar 2024: 293-309 - [i18]Heinrich van Deventer, Anna Sergeevna Bosman:
Distal Interference: Exploring the Limits of Model-Based Continual Learning. CoRR abs/2402.08255 (2024) - [i17]Reinhard Booysen, Anna Sergeevna Bosman
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks. CoRR abs/2403.11173 (2024) - [i16]Johannes J. Pienaar, Anna S. Bosman, Katherine M. Malan:
Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling. CoRR abs/2408.00526 (2024) - 2023
- [c21]Anna Sergeevna Bosman
Empirical Loss Landscape Analysis of Neural Network Activation Functions. GECCO Companion 2023: 2029-2037 - [c20]Isobel Bosman
Quantifying and Visualizing the Sharpness of Attraction Basins in Neural Network Error Landscapes. GECCO Companion 2023: 2038-2046 - [i15]Thamsanqa Mlotshwa, Heinrich van Deventer, Anna Sergeevna Bosman:
Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise. CoRR abs/2302.07238 (2023) - [i14]Jarrod Goschen, Anna Sergeevna Bosman, Stefan Gruner:
Genetic Micro-Programs for Automated Software Testing with Large Path Coverage. CoRR abs/2302.07646 (2023) - [i13]Savvas Panagiotou, Anna S. Bosman
Denoising Diffusion Post-Processing for Low-Light Image Enhancement. CoRR abs/2303.09627 (2023) - [i12]Arné Schreuder, Anna S. Bosman
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics. CoRR abs/2303.16912 (2023) - [i11]Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Empirical Loss Landscape Analysis of Neural Network Activation Functions. CoRR abs/2306.16090 (2023) - 2022
- [c19]Jarrod Goschen, Anna S. Bosman
Genetic Micro-Programs for Automated Software Testing with Large Path Coverage. CEC 2022: 1-8 - [c18]Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman
A Local Optima Network Analysis of the Feedforward Neural Architecture Space. IJCNN 2022: 1-8 - [c17]Thamsanqa Mlotshwa, Heinrich van Deventer
Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise. SACAIR 2022: 123-138 - [i10]Matthew C. Dickson, Anna S. Bosman, Katherine M. Malan:
Hybridised Loss Functions for Improved Neural Network Generalisation. CoRR abs/2204.12244 (2022) - [i9]Heinrich van Deventer, Pieter Janse van Rensburg, Anna S. Bosman:
KASAM: Spline Additive Models for Function Approximation. CoRR abs/2205.06376 (2022) - [i8]Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman:
A Local Optima Network Analysis of the Feedforward Neural Architecture Space. CoRR abs/2206.06903 (2022) - [i7]Heinrich van Deventer, Anna S. Bosman:
ATLAS: Universal Function Approximator for Memory Retention. CoRR abs/2208.05388 (2022) - [i6]Moseli Mots'oehli, Anna Sergeevna Bosman, Johan Pieter de Villiers:
Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models. CoRR abs/2211.00731 (2022) - 2021
- [j5]Mathys Ellis, Anna S. Bosman
Characterisation of environment type and difficulty for streamed data classification problems. Inf. Sci. 569: 615-649 (2021) - [c16]Jarrod Moses, Katherine M. Malan, Anna S. Bosman
Analysing the loss landscape features of generative adversarial networks. GECCO Companion 2021: 1692-1699 - 2020
- [j4]Anna Sergeevna Bosman
Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions. Neurocomputing 400: 113-136 (2020) - [c15]Anna Sergeevna Bosman
Loss Surface Modality of Feed-Forward Neural Network Architectures. IJCNN 2020: 1-8 - [c14]Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman
Black-Box Saliency Map Generation Using Bayesian Optimisation. IJCNN 2020: 1-8 - [i5]Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman:
Black-Box Saliency Map Generation Using Bayesian Optimisation. CoRR abs/2001.11366 (2020)
2010 – 2019
- 2019
- [c13]Kevin Louis de Jong, Anna Sergeevna Bosman
Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks. IJCNN 2019: 1-8 - [c12]Gerard Jacques van Wyk, Anna Sergeevna Bosman
Evolutionary Neural Architecture Search for Image Restoration. IJCNN 2019: 1-8 - [i4]Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions. CoRR abs/1901.02302 (2019) - [i3]Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Loss Surface Modality of Feed-Forward Neural Network Architectures. CoRR abs/1905.10268 (2019) - 2018
- [j3]Anna S. Bosman
Fitness Landscape Analysis of Weight-Elimination Neural Networks. Neural Process. Lett. 48(1): 353-373 (2018) - [c11]Anna Sergeevna Bosman
Progressive gradient walk for neural network fitness landscape analysis. GECCO (Companion) 2018: 1473-1480 - [i2]Kevin Louis de Jong, Anna Sergeevna Bosman
Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks. CoRR abs/1812.05815 (2018) - [i1]Gerard Jacques van Wyk, Anna Sergeevna Bosman
Evolutionary Neural Architecture Search for Image Restoration. CoRR abs/1812.05866 (2018) - 2017
- [c10]Willem Abraham van Aardt, Anna Sergeevna Bosman
Characterising neutrality in neural network error landscapes. CEC 2017: 1374-1381 - 2016
- [c9]Anna S. Rakitianskaia
Analysis of error landscapes in multi-layered neural networks for classification. CEC 2016: 5270-5277 - [c8]Anna Sergeevna Bosman
Search space boundaries in neural network error landscape analysis. SSCI 2016: 1-8 - 2015
- [c7]Anna S. Rakitianskaia
Saturation in PSO neural network training: Good or evil? CEC 2015: 125-132 - [c6]Anna S. Rakitianskaia
Measuring Saturation in Neural Networks. SSCI 2015: 1423-1430 - 2014
- [c5]Anna S. Rakitianskaia
Training high-dimensional neural networks with cooperative particle swarm optimiser. IJCNN 2014: 4011-4018 - [c4]Anna S. Rakitianskaia
Weight regularisation in particle swarm optimisation neural network training. SIS 2014: 34-41 - 2013
- [c3]Roy Vink, Anna S. Bosman, Toon Cillessen:
Synchronizing to Learn and Like. CogSci 2013 - 2012
- [j2]Anna S. Rakitianskaia
Training feedforward neural networks with dynamic particle swarm optimisation. Swarm Intell. 6(3): 233-270 (2012)
2000 – 2009
- 2009
- [c2]Anna S. Rakitianskaia
Training neural networks with PSO in dynamic environments. IEEE Congress on Evolutionary Computation 2009: 667-673 - 2008
- [j1]Hamilton Ganesan, Anna S. Rakitianskaia
The SeqWord Genome Browser: an online tool for the identification and visualization of atypical regions of bacterial genomes through oligonucleotide usage. BMC Bioinform. 9 (2008) - [c1]Anna S. Rakitianskaia
Cooperative charged particle swarm optimiser. IEEE Congress on Evolutionary Computation 2008: 933-939
Coauthor Index
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