Jeffrey Chan | DeepAI

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∙ 09/08/2023

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse

Counterfactuals operationalised through algorithmic recourse have become...

0 Edward A. Small, et al. ∙

∙ 08/26/2023

i-Align: an interpretable knowledge graph alignment model

Knowledge graphs (KGs) are becoming essential resources for many downstr...

0 Bayu Distiawan Trisedya, et al. ∙

∙ 04/19/2023

Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness

Group fairness is achieved by equalising prediction distributions betwee...

0 Edward A. Small, et al. ∙

∙ 04/18/2023

Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services

Micro-mobility services (e.g., e-bikes, e-scooters) are increasingly pop...

0 Hiruni Kegalle, et al. ∙

∙ 04/15/2023

More Is Less: When Do Recommenders Underperform for Data-rich Users?

Users of recommender systems tend to differ in their level of interactio...

0 Yueqing Xuan, et al. ∙

∙ 10/14/2022

Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019–2020 Australian Bushfires Case Study

With the advancement and proliferation of technology, non-profit organis...

0 Dilini Rajapaksha, et al. ∙

∙ 07/11/2022

How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies

With the introduction of machine learning in high-stakes decision making...

30 Edward Small, et al. ∙

∙ 05/31/2022

Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems

Model-free deep-reinforcement-based learning algorithms have been applie...

0 Nasrin Sultana, et al. ∙

∙ 03/14/2022

Ethical and Fairness Implications of Model Multiplicity

While predictive models are a purely technological feat, they may operat...

0 Kacper Sokol, et al. ∙

∙ 02/10/2022

Measuring disentangled generative spatio-temporal representation

Disentangled representation learning offers useful properties such as di...

0 Sichen Zhao, et al. ∙

∙ 09/17/2021

Learning Enhanced Optimisation for Routing Problems

Deep learning approaches have shown promising results in solving routing...

0 Nasrin Sultana, et al. ∙

∙ 06/10/2021

MoParkeR : Multi-objective Parking Recommendation

Existing parking recommendation solutions mainly focus on finding and su...

0 Mohammad Saiedur Rahaman, et al. ∙

∙ 05/21/2021

Parallelizing Contextual Linear Bandits

Standard approaches to decision-making under uncertainty focus on sequen...

9 Jeffrey Chan, et al. ∙

∙ 12/24/2020

Learning Vehicle Routing Problems using Policy Optimisation

Deep reinforcement learning (DRL) has been used to learn effective heuri...

0 Nasrin Sultana, et al. ∙

∙ 12/04/2020

Divide and Learn: A Divide and Conquer Approach for Predict+Optimize

The predict+optimize problem combines machine learning ofproblem coeffic...

0 Ali Ugur Guler, et al. ∙

∙ 11/30/2020

Representing and Denoising Wearable ECG Recordings

Modern wearable devices are embedded with a range of noninvasive biomark...

0 Jeffrey Chan, et al. ∙

∙ 10/23/2020

Learning to Optimise General TSP Instances

The Travelling Salesman Problem (TSP) is a classical combinatorial optim...

0 Nasrin Sultana, et al. ∙

∙ 08/26/2020

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

This paper investigates the Cyber-Physical behavior of users in a large ...

0 Manpreet Kaur, et al. ∙

∙ 07/24/2020

MurTree: Optimal Classification Trees via Dynamic Programming and Search

Decision tree learning is a widely used approach in machine learning, fa...

0 Emir Demirović, et al. ∙

∙ 07/09/2020

Less is More: Rejecting Unreliable Reviews for Product Question Answering

Promptly and accurately answering questions on products is important for...

0 Shiwei Zhang, et al. ∙

∙ 05/27/2020

An Ambient-Physical System to Infer Concentration in Open-plan Workplace

One of the core challenges in open-plan workspaces is to ensure a good l...

0 Mohammad Saiedur Rahaman, et al. ∙

∙ 11/05/2019

Flight Delay Prediction using Airport Situational Awareness Map

The prediction of flight delays plays a significantly important role for...

0 Wei Shao, et al. ∙

∙ 07/27/2019

Alternative Blockmodelling

Many approaches have been proposed to discover clusters within networks....

0 Oscar Correa, et al. ∙

∙ 03/08/2019

Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network

Deep learning has been extended to a number of new domains with critical...

0 Wei Shao, et al. ∙

∙ 02/16/2018

A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks

Inference for population genetics models is hindered by computationally ...

0 Jeffrey Chan, et al. ∙

∙ 06/17/2016

Ground Truth Bias in External Cluster Validity Indices

It has been noticed that some external CVIs exhibit a preferential bias ...

0 Yang Lei, et al. ∙

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