Personal information

neural networks, particle swarm optimisation, fitness landscape analysis
South Africa

Activities

Employment (2)

University of Pretoria: Pretoria, ZA

2021-01-01 to present | Senior Lecturer (Computer Science )
Employment
Source: Self-asserted source
Anna Sergeevna Bosman

University of Pretoria: Pretoria, Gauteng, ZA

2014-11-01 to 2020-12-31 | Lecturer (Computer Science)
Employment
Source: Self-asserted source
Anna Sergeevna Bosman

Education and qualifications (2)

University of Pretoria School of Engineering: Pretoria, Gauteng, ZA

2012-05-01 to 2019-09-03 | PhD (Computer Science)
Education
Source: Self-asserted source
Anna Sergeevna Bosman

University of Pretoria: Pretoria, ZA

2008-02-01 to 2012-01-01 | MSc (Computer Science)
Education
Source: Self-asserted source
Anna Sergeevna Bosman

Works (38)

Training feedforward neural networks with Bayesian hyper-heuristics

Information Sciences
2025-01 | Journal article
Contributors: A.N. Schreuder; A.S. Bosman; A.P. Engelbrecht; C.W. Cleghorn
Source: check_circle
Crossref

Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling

2024 | Book chapter
Contributors: Johannes J. Pienaar; Anna S. Boman; Katherine M. Malan
Source: check_circle
Crossref

Denoising diffusion post-processing for low-light image enhancement

Pattern Recognition
2024-12 | Journal article
Contributors: Savvas Panagiotou; Anna S. Bosman
Source: check_circle
Crossref

Regularised feed forward neural networks for streamed data classification problems

Engineering Applications of Artificial Intelligence
2024-07 | Journal article
Contributors: Mathys Ellis; Anna S. Bosman; Andries P. Engelbrecht
Source: check_circle
Crossref

Multi-objective Evolutionary Neural Architecture Search for Recurrent Neural Networks

Neural Processing Letters
2024-06-18 | Journal article
Contributors: Reinhard Booysen; Anna Sergeevna Bosman
Source: check_circle
Crossref

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks

2024-03-17 | Preprint
Contributors: Reinhard Booysen; Anna Sergeevna Bosman
Source: Self-asserted source
Anna Sergeevna Bosman

Convolutional Neural Networks for Crack Detection on Flexible Road Pavements

Lecture Notes in Networks and Systems
2023 | Book chapter
Part of ISBN: 9783031275234
Part of ISBN: 9783031275241
Part of ISSN: 2367-3370
Part of ISSN: 2367-3389
Contributors: Hermann Tapamo; Anna Bosman; James Maina; Emile Horak
Source: Self-asserted source
Anna Sergeevna Bosman

Comparison of Adversarial and Non-Adversarial LSTM Music Generative Models

Lecture Notes in Networks and Systems
2023-09-01 | Book chapter | Supervision
Part of ISBN: 9783031377167
Part of ISBN: 9783031377174
Part of ISSN: 2367-3370
Part of ISSN: 2367-3389
Contributors: Moseli Mots’oehli; Anna Sergeevna Bosman; Johan Pieter De Villiers; Anna Sergeevna Bosman
Source: Self-asserted source
Anna Sergeevna Bosman
grade
Preferred source (of 2)‎

Empirical Loss Landscape Analysis of Neural Network Activation Functions

2023-07-15 | Conference paper
Contributors: Anna Sergeevna Bosman; Andries Engelbrecht; Marde Helbig
Source: check_circle
Crossref

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

2023-07-15 | Conference paper
Contributors: Isobel Bosman; Anna Sergeevna Bosman; Katherine Mary Malan
Source: check_circle
Crossref

Denoising Diffusion Post-Processing for Low-Light Image Enhancement

2023-03 | Preprint
Contributors: Savvas Panagiotou; Anna S. Bosman
Source: Self-asserted source
Anna Sergeevna Bosman

Training Feedforward Neural Networks with Bayesian Hyper-Heuristics

2023-03 | Preprint
Contributors: Arné Schreuder; Anna Bosman; Andries Engelbrecht; Christopher Cleghorn
Source: Self-asserted source
Anna Sergeevna Bosman

Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise

2022 | Book chapter
Contributors: Thamsanqa Mlotshwa; Heinrich van Deventer; Anna Sergeevna Bosman
Source: check_circle
Crossref

Hybridised Loss Functions for Improved Neural Network Generalisation

2022 | Book chapter
Contributors: Matthew C. Dickson; Anna S. Bosman; Katherine M. Malan
Source: check_circle
Crossref

A Local Optima Network Analysis of the Feedforward Neural Architecture Space

2022 International Joint Conference on Neural Networks (IJCNN)
2022-07-18 | Conference paper
Contributors: Anna Sergeevna Bosman
Source: Self-asserted source
Anna Sergeevna Bosman

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

2022 IEEE Congress on Evolutionary Computation (CEC)
2022-07-18 | Conference paper
Contributors: Anna Sergeevna Bosman
Source: Self-asserted source
Anna Sergeevna Bosman

Characterisation of environment type and difficulty for streamed data classification problems

Information Sciences
2021-08 | Journal article
Part of ISSN: 0020-0255
Source: Self-asserted source
Anna Sergeevna Bosman

Analysing the loss landscape features of generative adversarial networks

Proceedings of the Genetic and Evolutionary Computation Conference Companion
2021-07-07 | Conference paper
Source: Self-asserted source
Anna Sergeevna Bosman

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

Neurocomputing
2020-08 | Journal article
Contributors: Anna Sergeevna Bosman; Andries Engelbrecht; Mardé Helbig
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Black-Box Saliency Map Generation Using Bayesian Optimisation

2020 International Joint Conference on Neural Networks (IJCNN)
2020-07 | Other
Contributors: Mamuku Mokuwe; Michael Burke; Anna Sergeevna Bosman
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search

Loss Surface Modality of Feed-Forward Neural Network Architectures

2020 International Joint Conference on Neural Networks (IJCNN)
2020-07 | Other
Contributors: Anna Sergeevna Bosman; Andries Petrus Engelbrecht; Marde Helbig
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search

Evolutionary Neural Architecture Search for Image Restoration

IEEE International Joint Conference on Neural Networks
2019-09-30 | Conference paper
Source: Self-asserted source
Anna Sergeevna Bosman
grade
Preferred source (of 2)‎

Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks

IEEE International Joint Conference on Neural Networks
2019-09-30 | Conference paper
Source: Self-asserted source
Anna Sergeevna Bosman
grade
Preferred source (of 2)‎

Fitness Landscape Analysis of Feed-Forward Neural Networks

2019-09-03 | Dissertation/Thesis
HANDLE: 2263/70634
Source: Self-asserted source
Anna Sergeevna Bosman

Progressive gradient walk for neural network fitness landscape analysis

Proceedings of the Genetic and Evolutionary Computation Conference Companion
2018 | Conference paper
Source: Self-asserted source
Anna Sergeevna Bosman

Progressive gradient walk for neural network fitness landscape analysis

GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
2018 | Conference paper
EID:

2-s2.0-85051514584

Contributors: Bosman, A.S.; Engelbrecht, A.P.; Helbig, M.
Source: Self-asserted source
Anna Sergeevna Bosman via Scopus - Elsevier

Fitness Landscape Analysis of Weight-Elimination Neural Networks

Neural Processing Letters
2018-08-26 | Journal article
Contributors: Anna Bosman; Andries Engelbrecht; Mardé Helbig
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Characterising neutrality in neural network error landscapes

2017 IEEE Congress on Evolutionary Computation (CEC)
2017-06 | Conference paper
Contributors: Willem Abraham van Aardt; Anna Sergeevna Bosman; Katherine Mary Malan
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Search space boundaries in neural network error landscape analysis

2016 IEEE Symposium Series on Computational Intelligence (SSCI)
2016 | Conference paper
Contributors: Anna Sergeevna Bosman; Andries Engelbrecht; Marde Helbig
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

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

2016 IEEE Congress on Evolutionary Computation (CEC)
2016-07 | Conference paper
Contributors: Anna Rakitianskaia; Eduan Bekker; Katherine M. Malan; Andries Engelbrecht
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Measuring Saturation in Neural Networks

2015 IEEE Symposium Series on Computational Intelligence
2015 | Conference paper
Contributors: Anna Rakitianskaia; Andries Engelbrecht
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Saturation in PSO neural network training: Good or evil?

2015 IEEE Congress on Evolutionary Computation (CEC)
2015-05 | Conference paper
Contributors: Anna Rakitianskaia; Andries Engelbrecht
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Weight regularisation in particle swarm optimisation neural network training

2014 IEEE Symposium on Swarm Intelligence
2014 | Conference paper
Contributors: Anna Rakitianskaia; Andries Engelbrecht
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Training high-dimensional neural networks with cooperative particle swarm optimiser

2014 International Joint Conference on Neural Networks (IJCNN)
2014-07 | Conference paper
Contributors: Anna Rakitianskaia; Andries Engelbrecht
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Training feedforward neural networks with dynamic particle swarm optimisation

Swarm Intell
2012-09 | Journal article
Contributors: A. S. Rakitianskaia; A. P. Engelbrecht
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Training neural networks with PSO in dynamic environments

2009 IEEE Congress on Evolutionary Computation
2009-05 | Conference paper
Contributors: Anna Rakitianskaia; Andries P. Engelbrecht
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

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

BMC Bioinformatics
2008 | Journal article
Contributors: Hamilton Ganesan; Anna S Rakitianskaia; Colin F Davenport; Burkhard Tümmler; Oleg N Reva
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Cooperative charged particle swarm optimiser

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
2008-06 | Conference paper
Contributors: Anna Rakitianskaia; Andries P. Engelbrecht
Source: Self-asserted source
Anna Sergeevna Bosman via Crossref Metadata Search
grade
Preferred source (of 2)‎

Peer review (23 reviews for 7 publications/grants)

Review activity for Engineering optimization. (1)
Review activity for IEEE transactions on emerging topics in computational intelligence. (1)
Review activity for IEEE transactions on evolutionary computation : (3)
Review activity for IEEE transactions on neural networks and learning systems. (15)
Review activity for Neural computing & applications. (1)
Review activity for Neural Processing Letters. (1)
Review activity for Neural processing letters. (1)