Quantifying the Severity of Common Rust in Maize Using Mask R-CNN. - Nelishia Pillay; Mia Gerber; Katerina Holan; Steven A. Whitham; Dave K. Berger (ICAISC (1), 2021)

Automated Hyper-Parameter Tuning of a Mask R-CNN for Quantifying Common Rust Severity in Maize. - Mia Gerber; Nelishia Pillay; Katerina Holan; Steven A. Whitham; Dave K. Berger (IJCNN, 2021)

A Comparative Study of Supervised and Unsupervised Neural Networks for Oral Lesion Detection. - Mia Gerber; Nelishia Pillay; Razia Khammissa (SSCI, 2021)

Automated design of feature extraction for unsupervised image clustering using grammatical evolution. - Mia Gerber; Nelishia Pillay (SSCI, 2022)

Automated algorithm composition of unsupervised image clustering algorithms. - Mia Gerber; Nelishia Pillay (GECCO Companion, 2023)

An analysis of choice functions for Fuzzy ART using grammatical evolution. - Mia Gerber; Nelishia Pillay (GECCO Companion, 2023)

Dynamic Algorithm Composition for Image Segmentation. - Mia Gerber; Nelishia Pillay (CEC, 2024)

Dynamic Function Generation for Text Classification. - Mia Gerber; Nelishia Pillay (CEC, 2024)

Dynamic Neural Architecture Search for Image Classification. - Mia Gerber; Nelishia Pillay (GECCO Companion, 2024)

A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions. - Mia Gerber; Nelishia Pillay (ICAISC (2), 2024)

Online Meta-learning for AutoML in Real-time (OnMAR). - Mia Gerber; Anna Sergeevna Bosman; Johan Pieter de Villiers (CoRR, 2025)