8 citations · 10 across the 5 of their papers we have counts for
5 papers
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
Lam Ngo, Huong Ha, Jeffrey Chan +2
Bayesian Optimization (BO) is an effective method for finding the global optimum of expensive black-box functions. However, it is well known that applying BO to high-dimensional op…
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation
Iman Abbasnejad, Fabio Zambetta, Flora Salim +4
SCONE-GAN presents an end-to-end image translation, which is shown to be effective for learning to generate realistic and diverse scenery images. Most current image-to-image transl…
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse
Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams +4
Counterfactuals operationalised through algorithmic recourse have become a powerful tool to make artificial intelligence systems explainable. Conceptually, given an individual clas…
i-Align: an interpretable knowledge graph alignment model
Bayu Distiawan Trisedya, Flora D Salim, Jeffrey Chan +3
Knowledge graphs (KGs) are becoming essential resources for many downstream applications. However, their incompleteness may limit their potential. Thus, continuous curation is need…
Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services
Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan +2
Micro-mobility services (e.g., e-bikes, e-scooters) are increasingly popular among urban communities, being a flexible transport option that brings both opportunities and challenge…