Jeffrey Chan

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RMIT University

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

Emily B. Fox

James Bailey

Peter J. Stuckey

Flora D. Salim

Christopher Leckie

Cecile Paris

Jey Han Lau

Wei Shao

Kotagiri Ramamohanarao

Simone Romano

Valerio Perrone

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