21 citations · 32 across the 7 of their papers we have counts for
8 papers
Empirical Loss Landscape Analysis of Neural Network Activation Functions
Anna Sergeevna Bosman, Andries Engelbrecht, Marde Helbig
Activation functions play a significant role in neural network design by enabling non-linearity. The choice of activation function was previously shown to influence the properties…
Assessing the Generalizability of a Performance Predictive Model
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova +6
A key component of automated algorithm selection and configuration, which in most cases are performed using supervised machine learning (ML) methods is a good-performing predictive…
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
Arné Schreuder, Anna Bosman, Andries Engelbrecht +1
The process of training feedforward neural networks (FFNNs) can benefit from an automated process where the best heuristic to train the network is sought out automatically by means…
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht +3
Fair algorithm evaluation is conditioned on the existence of high-quality benchmark datasets that are non-redundant and are representative of typical optimization scenarios. In thi…
Transfer of Manure as Fertilizer from Livestock Farms to Crop Fields: The Case of Catalonia
Andreas Kamilaris, Andries Engelbrecht, Andreas Pitsillides +1
Intensive livestock production might have a negative environmental impact, by producing large amounts of animal manure, which, if not properly managed, can contaminate nearby water…
Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach
Andreas Kamilaris, Andries Engelbrecht, Andreas Pitsillides +1
Intensive livestock production might have a negative environmental impact, by producing large amounts of animal excrements, which, if not properly managed, can contaminate nearby w…