Monte-Carlo tree search parallelisation for computer go. - Francois van Niekerk; Gert-Jan van Rooyen; Steve Kroon; Cornelia P. Inggs (SAICSIT, 2012)

Unsupervised Construction of Topic-Based Twitter Lists. - Francois de Villiers; McElory Hoffmann; Steve Kroon (SocialCom/PASSAT, 2012)

Binary Jumbled String Matching: Faster Indexing in Less Space - Golnaz Badkobeh; Gabriele Fici; Steve Kroon; Zsuzsanna Lipták (CoRR, 2012)

Decision Trees for Computer Go Features. - Francois van Niekerk; Steve Kroon (CGW@IJCAI, 2013)

Binary jumbled string matching for highly run-length compressible texts. - Golnaz Badkobeh; Gabriele Fici; Steve Kroon; Zsuzsanna Lipták (Inf. Process. Lett., 2013)

Sample Evaluation for Action Selection in Monte Carlo Tree Search. - Dirk Brand; Steve Kroon (SAICSIT, 2014)

N-Gram Representations For Comment Filtering. - Dirk Brand; Steve Kroon; Brink van der Merwe; Loek G. Cleophas (SAICSIT, 2015)

DSaaS - A Cloud Service for Persistent Data Structures. - Pierre Bernard le Roux; Steve Kroon; Willem Bester (CLOSER (1), 2016)

Learning Dynamics of Linear Denoising Autoencoders. - Arnu Pretorius; Steve Kroon; Herman Kamper (ICML, 2018)

Critical initialisation for deep signal propagation in noisy rectifier neural networks. - Arnu Pretorius; Elan Van Biljon; Steve Kroon; Herman Kamper (NeurIPS, 2018)

A Coordinated Search Strategy for Solitary Robots. - Jordan F. Masakuna; Simukai W. Utete; Steve Kroon (IRC, 2019)

A Coordinated Search Strategy for Multiple Solitary Robots: An Extension. - Jordan F. Masakuna; Simukai W. Utete; Steve Kroon (CoRR, 2019)

Stabilising priors for robust Bayesian deep learning. - Felix McGregor; Arnu Pretorius; Johan A. du Preez; Steve Kroon (CoRR, 2019)

Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation. - Scott A. Cameron; Hans C. Eggers; Steve Kroon (Entropy, 2019)

Performance-Agnostic Fusion of Probabilistic Classifier Outputs. - Jordan F. Masakuna; Simukai W. Utete; Steve Kroon (FUSION, 2020)

If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. - Arnu Pretorius; Elan Van Biljon; Benjamin van Niekerk; Ryan Eloff; Matthew Reynard; Steven James 001; Benjamin Rosman; Herman Kamper; Steve Kroon (Pattern Recognit. Lett., 2020)

On the expected behaviour of noise regularised deep neural networks as Gaussian processes. - Arnu Pretorius; Herman Kamper; Steve Kroon (Pattern Recognit. Lett., 2020)

SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints. - Dirko Coetsee; Steve Kroon; McElory Hoffmann; Luc De Raedt (IDA, 2021)

Distributed Identification of Central Nodes with Less Communication. - Jordan F. Masakuna; Steve Kroon (CoRR, 2021)

Graphical Residual Flows. - Jacobie Mouton; Steve Kroon (CoRR, 2022)

SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks. - Jacobie Mouton; Steve Kroon (CoRR, 2022)

Making Superhuman AI More Human in Chess. - Daniel Barrish; Steve Kroon; Brink van der Merwe (ACG, 2023)

Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning. - Matthew Muller; Steve Kroon; Stephan K. Chalup (ICONIP (9), 2023)