3 citations · 4 across the 5 of their papers we have counts for
5 papers
Distal Interference: Exploring the Limits of Model-Based Continual Learning
Heinrich van Deventer, Anna Sergeevna Bosman
Continual learning is the sequential learning of different tasks by a machine learning model. Continual learning is known to be hindered by catastrophic interference or forgetting,…
Convolutional neural networks for crack detection on flexible road pavements
Hermann Tapamo, Anna Bosman, James Maina +1
Flexible road pavements deteriorate primarily due to traffic and adverse environmental conditions. Cracking is the most common deterioration mechanism; the surveying thereof is typ…
Genetic Micro-Programs for Automated Software Testing with Large Path Coverage
Jarrod Goschen, Anna Sergeevna Bosman, Stefan Gruner
Ongoing progress in computational intelligence (CI) has led to an increased desire to apply CI techniques for the purpose of improving software engineering processes, particularly…
Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise
Thamsanqa Mlotshwa, Heinrich van Deventer, Anna Sergeevna Bosman
In supervised machine learning, the choice of loss function implicitly assumes a particular noise distribution over the data. For example, the frequently used mean squared error (M…
ATLAS: Universal Function Approximator for Memory Retention
Heinrich van Deventer, Anna Bosman
Artificial neural networks (ANNs), despite their universal function approximation capability and practical success, are subject to catastrophic forgetting. Catastrophic forgetting…