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2020 – today

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2021
[j34]
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  - journals/datamine/ShaalanZCS21
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Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi:
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns. Data Min. Knowl. Discov. 35(2): 450-504 (2021)
2020
[j33]
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  - journals/bmcbi/CoffCRG20
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Lachlan Coff, Jeffrey Chan, Paul A. Ramsland, Andrew J. Guy:
Identifying glycan motifs using a novel subtree mining approach. BMC Bioinform. 21(1): 42 (2020)
[j32]
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  - journals/gis/NaghizadeCT20
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Elham Naghizade, Jeffrey Chan, Martin Tomko:
From small sets of GPS trajectories to detailed movement profiles: quantifying personalized trip-dependent movement diversity. Int. J. Geogr. Inf. Sci. 34(10): 2004-2029 (2020)
[j31]
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Muruganandam Somasundaram, Jeffrey P. Kubala, Seth E. Lederer, Jeffrey Chan:
Partition placement by PR/SM. IBM J. Res. Dev. 64(5/6): 11:1-11:7 (2020)
[j30]
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Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim:
An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. IEEE Internet Things J. 7(12): 11576-11586 (2020)
[j29]
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Kyle Kai Qin, Wei Shao, Yongli Ren, Jeffrey Chan, Flora D. Salim:
Solving multiple travelling officers problem with population-based optimization algorithms. Neural Comput. Appl. 32(16): 12033-12059 (2020)
[j28]
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Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. ACM Trans. Sens. Networks 16(3): 28:1-28:25 (2020)
[j27]
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Wei Shao, Siyu Tan, Sichen Zhao, Kyle Kai Qin, Xinhong Hei, Jeffrey Chan, Flora D. Salim:
Incorporating LSTM Auto-Encoders in Optimizations to Solve Parking Officer Patrolling Problem. ACM Trans. Spatial Algorithms Syst. 6(3): 20:1-20:21 (2020)
[c66]
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  - conf/aaai/DemirovicSG0LRC20
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Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan:
Dynamic Programming for Predict+Optimise. AAAI 2020: 1444-1451
[c65]
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Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan:
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI 2020: 5908-5915
[c64]
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  - conf/icdm/MaCRRL20
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Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie:
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. ICDM 2020: 1160-1165
[c63]
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Wei Shao, Jeffrey Chan, Flora D. Salim:
Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks. IJCNN 2020: 1-8
[c62]
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  - conf/ijcnn/RamtekeSCR0LD20
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Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic:
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. IJCNN 2020: 1-7
[c61]
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  - conf/pakdd/PereraCK20
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Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
A Framework for Feature Selection to Exploit Feature Group Structures. PAKDD (1) 2020: 792-804
[c60]
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Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
Group Based Unsupervised Feature Selection. PAKDD (1) 2020: 805-817
[c59]
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  - conf/pkdd/ZhangZLCP20
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Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris:
Less Is More: Rejecting Unreliable Reviews for Product Question Answering. ECML/PKDD (3) 2020: 567-583
[i15]
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  - journals/corr/abs-2005-13535
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Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim:
An Ambient-Physical System to Infer Concentration in Open-plan Workplace. CoRR abs/2005.13535 (2020)
[i14]
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  - journals/corr/abs-2007-04526
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Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris:
Less is More: Rejecting Unreliable Reviews for Product Question Answering. CoRR abs/2007.04526 (2020)
[i13]
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  - journals/corr/abs-2007-12652
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Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey:
MurTree: Optimal Classification Trees via Dynamic Programming and Search. CoRR abs/2007.12652 (2020)
[i12]
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  - journals/corr/abs-2008-11400
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Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. CoRR abs/2008.11400 (2020)
[i11]
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  - journals/corr/abs-2010-12214
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Nasrin Sultana, Jeffrey Chan, A. Kai Qin:
Learning to Optimise General TSP Instances. CoRR abs/2010.12214 (2020)
[i10]
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  - journals/corr/abs-2012-00110
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Jeffrey Chan, Andrew C. Miller, Emily B. Fox:
Representing and Denoising Wearable ECG Recordings. CoRR abs/2012.00110 (2020)
[i9]
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  - journals/corr/abs-2012-02342
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Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey:
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. CoRR abs/2012.02342 (2020)
[i8]
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  - journals/corr/abs-2012-13269
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Nasrin Sultana, Jeffrey Chan, A. Kai Qin, Tabinda Sarwar:
Learning Vehicle Routing Problems using Policy Optimisation. CoRR abs/2012.13269 (2020)

2010 – 2019

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2019
[j26]
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  - journals/bioinformatics/BeyerNHCTPZ19
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Wolfgang Beyer, Adam M. Novak, Glenn Hickey, Jeffrey Chan, Vanessa Tan, Benedict Paten, Daniel R. Zerbino:
Sequence tube maps: making graph genomes intuitive to commuters. Bioinform. 35(24): 5318-5320 (2019)
[j25]
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  - journals/ipm/ZhangZCR19
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Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan, Paolo Rosso:
Irony detection via sentiment-based transfer learning. Inf. Process. Manag. 56(5): 1633-1644 (2019)
[j24]
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  - journals/kais/LimCKL19
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Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie:
Tour recommendation and trip planning using location-based social media: a survey. Knowl. Inf. Syst. 60(3): 1247-1275 (2019)
[c58]
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  - conf/cec/TaylorLC19
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Kendall Taylor, Xiaodong Li, Jeffrey Chan:
Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives. CEC 2019: 2442-2449
[c57]
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  - conf/cpaior/DemirovicS0CLRG19
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Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns:
An Investigation into Prediction + Optimisation for the Knapsack Problem. CPAIOR 2019: 241-257
[c56]
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  - conf/gis/0006PZTKC0FS19
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Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. SIGSPATIAL/GIS 2019: 432-435
[c55]
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  - conf/icdm/ZhangLZCP19
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Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris:
Discovering Relevant Reviews for Answering Product-Related Queries. ICDM 2019: 1468-1473
[c54]
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  - conf/ijcai/DemirovicS0CLRG19
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Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns:
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. IJCAI 2019: 1078-1085
[c53]
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  - conf/percom/0006SCQMF19
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Wei Shao, Flora D. Salim, Jeffrey Chan, Kyle Kai Qin, Jiaman Ma, Bradley Feest:
OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness. PerCom 2019: 192-201
[c52]
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  - conf/percom/RahamanPLSRCKRS19
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Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas:
OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. PerCom Workshops 2019: 415-418
[c51]
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  - conf/pkdd/AvineshRMCBS19
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P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson:
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. ECML/PKDD (3) 2019: 339-355
[i7]
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  - journals/corr/abs-1903-03348
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Wei Shao, Flora D. Salim, Jeffrey Chan, Sean Morrison, Fabio Zambetta:
Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network. CoRR abs/1903.03348 (2019)
[i6]
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  - journals/corr/abs-1908-02575
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Oscar Correa, Jeffrey Chan, Xuan Vinh Nguyen:
Alternative Blockmodelling. CoRR abs/1908.02575 (2019)
[i5]
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  - journals/corr/abs-1911-01605
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Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. CoRR abs/1911.01605 (2019)
2018
[j23]
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  - journals/epjds/RenTSCS18
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Yongli Ren, Martin Tomko, Flora D. Salim, Jeffrey Chan, Mark Sanderson:
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. EPJ Data Sci. 7(1): 1 (2018)
[j22]
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  - journals/iotj/ShaoSGDC18
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Wei Shao, Flora D. Salim, Tao Gu, Ngoc-Thanh Dinh, Jeffrey Chan:
Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data. IEEE Internet Things J. 5(2): 802-810 (2018)
[j21]
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  - journals/kais/LimCLK18
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Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowl. Inf. Syst. 54(2): 375-406 (2018)
[j20]
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  - journals/tkde/RenTSCCS18
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Yongli Ren, Martin Tomko, Flora Dilys Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson:
A Location-Query-Browse Graph for Contextual Recommendation. IEEE Trans. Knowl. Data Eng. 30(2): 204-218 (2018)
[c50]
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  - conf/asunam/BulumullaCP18
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Chaminda Bulumulla, Jeffrey Chan, Lin Padgham:
Enhancing Diffusion Models by Embedding Cognitive Reasoning. ASONAM 2018: 744-749
[c49]
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  - conf/gpc/ShaoZGQCS18
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Wei Shao, Yu Zhang, Bin Guo, Kyle Kai Qin, Jeffrey Chan, Flora D. Salim:
Parking Availability Prediction with Long Short Term Memory Model. GPC 2018: 124-137
[c48]
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  - conf/nips/ChanPSJMS18
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Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song:
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks. NeurIPS 2018: 8603-8614
[c47]
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  - conf/pakdd/PereraCK18
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Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
Feature Selection for Multiclass Binary Data. PAKDD (3) 2018: 52-63
[c46]
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  - conf/pakdd/PriyogiSSCTR18
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Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren:
Identifying In-App User Actions from Mobile Web Logs. PAKDD (2) 2018: 300-311
[c45]
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  - conf/pakdd/NaghizadeCRT18
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Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko:
Contextual Location Imputation for Confined WiFi Trajectories. PAKDD (2) 2018: 444-457
[c44]
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  - conf/pakdd/AlmusallamTCA18
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Naif Almusallam, Zahir Tari, Jeffrey Chan, Adil AlHarthi:
UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features. PAKDD (2) 2018: 495-507
[c43]
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  - conf/pakdd/ShaalanZC18
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Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Learning to Rank Items of Minimal Reviews Using Weak Supervision. PAKDD (1) 2018: 631-643
[c42]
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  - conf/pakdd/KumarSZC18
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Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Identifying Singleton Spammers via Spammer Group Detection. PAKDD (1) 2018: 656-667
[c41]
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  - conf/pkdd/GanjiCSBLRP18
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Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park:
Semi-supervised Blockmodelling with Pairwise Guidance. ECML/PKDD (2) 2018: 158-174
[c40]
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  - conf/sdm/GanjiCSBLRD18
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Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson:
Image Constrained Blockmodelling: A Constraint Programming Approach. SDM 2018: 19-27
[c39]
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  - conf/sensys/KaurSRCTS18
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Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. BuildSys@SenSys 2018: 130-139
[c38]
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  - conf/www/TaylorLC18
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Kendall Taylor, Kwan Hui Lim, Jeffrey Chan:
Travel Itinerary Recommendations with Must-see Points-of-Interest. WWW (Companion Volume) 2018: 1198-1205
[i4]
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  - journals/corr/abs-1802-06153
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Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song:
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks. CoRR abs/1802.06153 (2018)
2017
[j19]
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Amin Sadri, Flora D. Salim, Yongli Ren, Masoomeh Zameni, Jeffrey Chan, Timos Sellis:
Shrink: Distance preserving graph compression. Inf. Syst. 69: 180-193 (2017)
[j18]
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Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. Knowl. Inf. Syst. 52(1): 179-219 (2017)
[j17]
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Yongli Ren, Flora Dilys Salim, Martin Tomko, Yuntian Brian Bai, Jeffrey Chan, Kyle Kai Qin, Mark Sanderson:
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. Pervasive Mob. Comput. 37: 94-114 (2017)
[j16]
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Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Ground truth bias in external cluster validity indices. Pattern Recognit. 65: 58-70 (2017)
[j15]
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Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie:
Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing. IEEE Trans. Dependable Secur. Comput. 14(1): 95-108 (2017)
[j14]
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Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey:
Extending Information-Theoretic Validity Indices for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 25(4): 1013-1018 (2017)
[c37]
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Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan:
A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis. ADCS 2017: 12:1-12:4
[c36]
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Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan:
Language-Independent Twitter Classification Using Character-Based Convolutional Networks. ADMA 2017: 413-425
[c35]
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Chaminda Bulumulla, Lin Padgham, Dhirendra Singh, Jeffrey Chan:
The Importance of Modelling Realistic Human Behaviour When Planning Evacuation Schedules. AAMAS 2017: 446-454
[c34]
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Boyu Zhang, A. Kai Qin, Jeffrey Chan:
An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. ICONIP (2) 2017: 189-197
[c33]
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Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie:
Personalized Itinerary Recommendation with Queuing Time Awareness. SIGIR 2017: 325-334
2016
[j13]
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Sareh Fotuhi Piraghaj, Rodrigo N. Calheiros, Jeffrey Chan, Amir Vahid Dastjerdi, Rajkumar Buyya:
Virtual Machine Customization and Task Mapping Architecture for Efficient Allocation of Cloud Data Center Resources. Comput. J. 59(2): 208-224 (2016)
[j12]
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Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Discovering outlying aspects in large datasets. Data Min. Knowl. Discov. 30(6): 1520-1555 (2016)
[j11]
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Xuan Vinh Nguyen, Shuo Zhou, Jeffrey Chan, James Bailey:
Can high-order dependencies improve mutual information based feature selection? Pattern Recognit. 53: 46-58 (2016)
[j10]
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Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin I. P. Rubinstein:
A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning. IEEE Trans. Inf. Forensics Secur. 11(3): 556-570 (2016)
[j9]
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Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi:
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. ACM Trans. Knowl. Discov. Data 11(2): 24:1-24:40 (2016)
[c32]
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Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan:
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. AAAI 2016: 1195-1201
[c31]
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Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Towards Next Generation Touring: Personalized Group Tours. ICAPS 2016: 412-420
[c30]
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Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan:
Improving Personalized Trip Recommendation by Avoiding Crowds. CIKM 2016: 25-34
[c29]
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Kwan Hui Lim, Xiaoting Wang, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie, Yehui Chen, Cheong Loong Tan, Fu Quan Gao, Teh Ken Wee:
PersTour: A Personalized Tour Recommendation and Planning System. HT (Extended Proceedings) 2016
[c28]
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Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao:
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) 2016: 162-178
[i3]
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Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Ground Truth Bias in External Cluster Validity Indices. CoRR abs/1606.05596 (2016)
2015
[j8]
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  - journals/bioinformatics/WongCKLM15
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Gerard Wong, Jeffrey Chan, Bronwyn A. Kingwell, Christopher Leckie, Peter J. Meikle:
LICRE: unsupervised feature correlation reduction for lipidomics. Bioinform. 31(4): 619 (2015)
[c27]
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Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. ECIR 2015: 489-494
[c26]
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Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. IJCAI 2015: 1778-1784
[c25]
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Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. PAKDD (2) 2015: 422-434
[i2]
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Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan:
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. CoRR abs/1511.07961 (2015)
2014
[j7]
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Gerard Wong, Jeffrey Chan, Bronwyn A. Kingwell, Christopher Leckie, Peter J. Meikle:
LICRE: unsupervised feature correlation reduction for lipidomics. Bioinform. 30(19): 2832-2833 (2014)
[j6]
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  - journals/snam/ChanLH14
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Jeffrey Chan, Samantha Lam, Conor Hayes:
Generalised blockmodelling of social and relational networks using evolutionary computing. Soc. Netw. Anal. Min. 4(1): 155 (2014)
[c24]
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Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. AAAI 2014: 2092-2098
[c23]
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  - conf/cidm/LeiBCVRB14
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Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey:
Generalized information theoretic cluster validity indices for soft clusterings. CIDM 2014: 24-31
[c22]
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Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie:
Virtual machine allocation policies against co-resident attacks in cloud computing. ICC 2014: 786-792
[c21]
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Jeffrey Chan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. ICDM 2014: 737-742
[c20]
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  - conf/kdd/NguyenCRB14
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Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey:
Effective global approaches for mutual information based feature selection. KDD 2014: 512-521
[c19]
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Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) 2014: 362-373
[c18]
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Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
FILTA: Better View Discovery from Collections of Clusterings via Filtering. ECML/PKDD (2) 2014: 145-160
2013
[j5]
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  - journals/www/KanCHHBL13
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Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A time decoupling approach for studying forum dynamics. World Wide Web 16(5-6): 595-620 (2013)
[c17]
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Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM 2013: 811-816
[c16]
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  - conf/fuzzIEEE/HavensBLCLBRP13
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Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE 2013
[c15]
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Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie:
Security Games for Virtual Machine Allocation in Cloud Computing. GameSec 2013: 99-118
[c14]
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Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao:
A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) 2013: 483-498
[c13]
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  - conf/sdm/BaileyCRLL13
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James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu:
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. SDM 2013: 614-622
[c12]
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Yi Han, Jeffrey Chan, Christopher Leckie:
Analysing Virtual Machine Usage in Cloud Computing. SERVICES 2013: 370-377
2012
[j4]
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Jeffrey Chan, James Bailey, Christopher Leckie, Michael E. Houle:
ciForager: Incrementally discovering regions of correlated change in evolving graphs. ACM Trans. Knowl. Discov. Data 6(3): 11:1-11:50 (2012)
[c11]
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Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. CIKM 2012: 435-444
[c10]
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Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao:
On compressing weighted time-evolving graphs. CIKM 2012: 2319-2322
[c9]
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Arthur J. White, Jeffrey Chan, Conor Hayes, Thomas Brendan Murphy:
Mixed Membership Models for Exploring User Roles in Online Fora. ICWSM 2012
[c8]
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Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. KDD 2012: 651-659
[i1]
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  - journals/corr/abs-1201-2277
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Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A Time Decoupling Approach for Studying Forum Dynamics. CoRR abs/1201.2277 (2012)
2011
[c7]
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Erik Aumayr, Jeffrey Chan, Conor Hayes:
Reconstruction of Threaded Conversations in Online Discussion Forums. ICWSM 2011
[c6]
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Jeffrey Chan, Samantha Lam, Conor Hayes:
Increasing the Scalability of the Fitting of Generalised Block Models for Social Networks. IJCAI 2011: 1218-1224
[c5]
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  - conf/websci/KarnstedtRCAH11
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Marcel Karnstedt, Matthew Rowe, Jeffrey Chan, Harith Alani, Conor Hayes:
The effect of user features on churn in social networks. WebSci 2011: 23:1-23:8
2010
[c4]
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Jeffrey Chan, Conor Hayes, Elizabeth M. Daly:
Decomposing Discussion Forums and Boards Using User Roles. ICWSM 2010
[c3]
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  - conf/socialcom/KarnstedtHCH10
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Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Conor Hayes:
Churn in Social Networks: A Discussion Boards Case Study. SocialCom/PASSAT 2010: 233-240
[p1]
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Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Partha Basuchowdhuri, Conor Hayes, Thorsten Strufe:
Churn in Social Networks. Handbook of Social Network Technologies 2010: 185-220

2000 – 2009

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2009
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Jeffrey Chan, James Bailey, Christopher Leckie:
Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs. Intell. Data Anal. 13(5): 755-793 (2009)
[c2]
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Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie:
A Query Based Approach for Mining Evolving Graphs. AusDM 2009: 139-150
2008
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  - https://dblp.org/rec/journals/kais/ChanBL08
Jeffrey Chan, James Bailey, Christopher Leckie:
Discovering correlated spatio-temporal changes in evolving graphs. Knowl. Inf. Syst. 16(1): 53-96 (2008)
2006
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  - conf/icdm/ChanBL06
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Jeffrey Chan, James Bailey, Christopher Leckie:
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. ICDM Workshops 2006: 361-365
2000
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  - journals/micro/TremblayCCCT00
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Marc Tremblay, Jeffrey Chan, Shailender Chaudhry, Andrew W. Conigliaro, Shing Sheung Tse:
The MAJC Architecture: A Synthesis of Parallelism and Scalability. IEEE Micro 20(6): 12-25 (2000)

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