59 citations · 97 across the 8 of their papers we have counts for
4 papers · 1 filter
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran +3
This paper introduces a novel approach, evolutionary multi-objective optimisation for fairness-aware self-adjusting memory classifiers, designed to enhance fairness in machine lear…
Language Models for Business Optimisation with a Real World Case Study in Production Scheduling
Pivithuru Thejan Amarasinghe, Su Nguyen, Yuan Sun +1
Business optimisation has been used extensively to determine optimal solutions for challenging business operations. Problem formulation is an important part of business optimisatio…
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Evgeny Osipov, Sachin Kahawala, Dilantha Haputhanthri +4
Motivated by recent innovations in biologically-inspired neuromorphic hardware, this article presents a novel unsupervised machine learning algorithm named Hyperseed that draws on…
An Artificial Intelligence Framework for Bidding Optimization with Uncertainty in Multiple Frequency Reserve Markets
Thimal Kempitiya, Seppo Sierla, Daswin De Silva +3
The global ambitions of a carbon-neutral society necessitate a stable and robust smart grid that capitalises on frequency reserves of renewable energy. Frequency reserves are resou…