Jeffrey Chan

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RMIT University

MoParkeR : Multi-objective Parking Recommendation

Existing parking recommendation solutions mainly focus on finding and su...
06/10/2021 ∙ by Mohammad Saiedur Rahaman, et al. ∙ 0 ∙ share

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Parallelizing Contextual Linear Bandits

Standard approaches to decision-making under uncertainty focus on sequen...
05/21/2021 ∙ by Jeffrey Chan, et al. ∙ 9 ∙ share

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Learning Vehicle Routing Problems using Policy Optimisation

Deep reinforcement learning (DRL) has been used to learn effective heuri...
12/24/2020 ∙ by Nasrin Sultana, et al. ∙ 0 ∙ share

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

The predict+optimize problem combines machine learning ofproblem coeffic...
12/04/2020 ∙ by Ali Ugur Guler, et al. ∙ 0 ∙ share

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Representing and Denoising Wearable ECG Recordings

Modern wearable devices are embedded with a range of noninvasive biomark...
11/30/2020 ∙ by Jeffrey Chan, et al. ∙ 0 ∙ share

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Learning to Optimise General TSP Instances

The Travelling Salesman Problem (TSP) is a classical combinatorial optim...
10/23/2020 ∙ by Nasrin Sultana, et al. ∙ 0 ∙ share

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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 ...
08/26/2020 ∙ by Manpreet Kaur, et al. ∙ 0 ∙ share

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MurTree: Optimal Classification Trees via Dynamic Programming and Search

Decision tree learning is a widely used approach in machine learning, fa...
07/24/2020 ∙ by Emir Demirović, et al. ∙ 0 ∙ share

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Less is More: Rejecting Unreliable Reviews for Product Question Answering

Promptly and accurately answering questions on products is important for...
07/09/2020 ∙ by Shiwei Zhang, et al. ∙ 0 ∙ share

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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...
05/27/2020 ∙ by Mohammad Saiedur Rahaman, et al. ∙ 0 ∙ share

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Flight Delay Prediction using Airport Situational Awareness Map

The prediction of flight delays plays a significantly important role for...
11/05/2019 ∙ by Wei Shao, et al. ∙ 0 ∙ share

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Alternative Blockmodelling

Many approaches have been proposed to discover clusters within networks....
07/27/2019 ∙ by Oscar Correa, et al. ∙ 0 ∙ share

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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...
03/08/2019 ∙ by Wei Shao, et al. ∙ 0 ∙ share

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

Inference for population genetics models is hindered by computationally ...
02/16/2018 ∙ by Jeffrey Chan, et al. ∙ 0 ∙ share

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Ground Truth Bias in External Cluster Validity Indices

It has been noticed that some external CVIs exhibit a preferential bias ...
06/17/2016 ∙ by Yang Lei, et al. ∙ 0 ∙ share

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Jeffrey Chan

Featured Co-authors

Michael I. Jordan

Aldo Pacchiano

James Bailey

Emily B. Fox

Peter J. Stuckey

Flora D. Salim

Jey Han Lau

Christopher Leckie

Cecile Paris

Peter Bartlett

Wei Shao

MoParkeR : Multi-objective Parking Recommendation

Parallelizing Contextual Linear Bandits

Learning Vehicle Routing Problems using Policy Optimisation

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

Representing and Denoising Wearable ECG Recordings

Learning to Optimise General TSP Instances

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

MurTree: Optimal Classification Trees via Dynamic Programming and Search

Less is More: Rejecting Unreliable Reviews for Product Question Answering

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

Flight Delay Prediction using Airport Situational Awareness Map

Alternative Blockmodelling

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

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

Ground Truth Bias in External Cluster Validity Indices