Damminda Alahakoon

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams

Transforming Customer Digital Footprints into Decision Enablers in Hospitality

Fairness optimisation with multi-objective swarms for explainable classifiers on data streams

A Two-Layer Self-Organizing Map with Vector Symbolic Architecture for Spatiotemporal Sequence Learning and Prediction

A Comparative Analysis of Machine Learning-Based Energy Baseline Models across Multiple Building Types

Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings

EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion

Leveraging explainable AI for enhanced decision making in humanitarian logistics: An Adversarial CoevoluTION (ACTION) framework