Anna S. Bosman

20 papers B 3Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Regularisation in neural networks: a survey and empirical analysis of approaches.
CoRR
Christiaan P. Opperman, Anna S. Bosman, Katherine M. Malan
2025 J jnl
Early detection of Phytophthora root rot in Eucalyptus using hyperspectral reflectance and machine learning.
Comput. Electron. Agric.
Hendrik J. Esterhuizen, Bernard Slippers, Anna S. Bosman, Jolanda Roux, Wayne Jones, Tanay Bose, Almuth Hammerbacher
2025 J jnl
Training feedforward neural networks with Bayesian hyper-heuristics.
Inf. Sci.
Arné Schreuder, Anna S. Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn
2025 — conf
Visualising Adam Oscillations in Neural Network Loss Landscapes.
GECCO Companion
Henri van der Grijp, Anna S. Bosman, Katherine M. Malan
2024 J jnl
Denoising diffusion post-processing for low-light image enhancement.
Pattern Recognit.
Savvas Panagiotou, Anna S. Bosman
2024 — conf
Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling.
EvoApplications@EvoStar
Johannes J. Pienaar, Anna S. Bosman, Katherine M. Malan
2024 J jnl
Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling.
CoRR
Johannes J. Pienaar, Anna S. Bosman, Katherine M. Malan
2024 J jnl
Regularised feed forward neural networks for streamed data classification problems.
Eng. Appl. Artif. Intell.
Mathys Ellis, Anna S. Bosman, Andries P. Engelbrecht
2023 J jnl
Denoising Diffusion Post-Processing for Low-Light Image Enhancement.
CoRR
Savvas Panagiotou, Anna S. Bosman
2023 J jnl
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics.
CoRR
Arné Schreuder, Anna S. Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn
2022 B conf
A Local Optima Network Analysis of the Feedforward Neural Architecture Space.
IJCNN
Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman
2022 J jnl
A Local Optima Network Analysis of the Feedforward Neural Architecture Space.
CoRR
Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman
2022 J jnl
ATLAS: Universal Function Approximator for Memory Retention.
CoRR
Heinrich van Deventer, Anna S. Bosman
2022 B conf
Genetic Micro-Programs for Automated Software Testing with Large Path Coverage.
CEC
Jarrod Goschen, Anna S. Bosman, Stefan Gruner
2022 J jnl
Hybridised Loss Functions for Improved Neural Network Generalisation.
CoRR
Matthew C. Dickson, Anna S. Bosman, Katherine M. Malan
2022 J jnl
KASAM: Spline Additive Models for Function Approximation.
CoRR
Heinrich van Deventer, Pieter Janse van Rensburg, Anna S. Bosman
2021 — conf
Analysing the loss landscape features of generative adversarial networks.
GECCO Companion
Jarrod Moses, Katherine M. Malan, Anna S. Bosman
2021 J jnl
Characterisation of environment type and difficulty for streamed data classification problems.
Inf. Sci.
Mathys Ellis, Anna S. Bosman, Andries P. Engelbrecht
2018 J jnl
Fitness Landscape Analysis of Weight-Elimination Neural Networks.
Neural Process. Lett.
Anna S. Bosman, Andries P. Engelbrecht, Mardé Helbig
2013 B conf
Synchronizing to Learn and Like.
CogSci
Roy Vink, Anna S. Bosman, Toon Cillessen