Professor James Bailey

  • Room: Level: 07 Room: 7.09
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Big Data
  • Computational Health Informatics
  • Data mining
  • Immersive Simulation
  • Learning Analytics
  • Machine Learning

Personal webpage

http://people.eng.unimelb.edu.au/baileyj/

Biography

Professor James Bailey is a researcher in the Department of Computing and Information Systems at The University of Melbourne.

Research Interests
Data mining
Machine learning
Bioinformatics
Health Informatics

Recent publications

  1. Liang Z, Liu W, Ploderer B, Bailey J, Kulik L, Li Y. Designing intelligent sleep analysis systems for automated contextual exploration on personal sleep-tracking data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10091 LNCS.
  2. Lei Y, Bezdek J, Chan J, Nguyen X, Romano S, Bailey J. Extending Information-Theoretic Validity Indices for Fuzzy Clustering. IEEE TRANSACTIONS ON FUZZY SYSTEMS. IEE Institute of Electronic Engineers. 2017, Vol. 25, Issue 4.
  3. Monazam Erfani S, Baktashmotlagh M, Moshtaghi M, Nguyen V, Leckie C, Bailey J, Ramamohanarao K. From shared subspaces to shared landmarks: A robust multi-source classification approach. 31st AAAI Conference on Artificial Intelligence (AAAI). 2017.
  4. Lei Y, Bezdek J, Romano S, Nguyen X, Chan J, Bailey J. Ground truth bias in external cluster validity indices. PATTERN RECOGNITION. Pergamon-Elsevier Science. 2017, Vol. 65.
  5. Lau L, Kankanige Y, Rubinstein B, Jones R, Christophi C, Muralidharan V, Bailey J. Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation. TRANSPLANTATION. Lippincott Williams & Wilkins. 2017, Vol. 101, Issue 4.
  6. Lei Y, Nguyen X, Chan J, Bailey J. rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. KNOWLEDGE AND INFORMATION SYSTEMS. Springer London. 2017, Vol. 52, Issue 1.
  7. Copson B, Wijewickrema S, Zhou Y, Piromchai P, Briggs R, Bailey J, Kennedy G, O'Leary S. Supporting skill acquisition in cochlear implant surgery through virtual reality simulation. Cochlear Implants International. Whurr Publishers. 2017, Vol. 18, Issue 2.
  8. Schimbinschi F, Moreira-Matias L, Vinh XN, Bailey J. Topology-regularized universal vector autoregression for traffic forecasting in large urban areas. EXPERT SYSTEMS WITH APPLICATIONS. Pergamon. 2017, Vol. 82.
  9. Romano S, Nguyen X, Bailey J, Verspoor C. A framework to adjust dependency measure estimates for chance. 16th SIAM International Conference on Data Mining 2016, SDM 2016. 2016.
  10. Zhou S, Nguyen X, Bailey J, Jia Y, Davidson I. Accelerating online CP decompositions for higher order tensors. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2016, Vol. 13-17-August-2016.
  11. Romano S, Nguyen X, Bailey J, Verspoor C. Adjusting for Chance Clustering Comparison Measures. JOURNAL OF MACHINE LEARNING RESEARCH. Journal of Machine Learning Research. 2016, Vol. 17.
  12. Nguyen X, Zhou S, Chan J, Bailey J. Can high-order dependencies improve mutual information based feature selection?. PATTERN RECOGNITION. Pergamon-Elsevier Science. 2016, Vol. 53.
  13. Nguyen X, Chan J, Romano S, Bailey J, Leckie C, Kotagiri R, Pei J. Discovering outlying aspects in large datasets. DATA MINING AND KNOWLEDGE DISCOVERY. Kluwer Academic Publishers. 2016, Vol. 30, Issue 6.
  14. Duan L, Tang G, Pei J, Bailey J, Dong G, Nguyen X, Campbell A, Tang C. Efficient discovery of contrast subspaces for object explanation and characterization. KNOWLEDGE AND INFORMATION SYSTEMS. Springer London. 2016, Vol. 47, Issue 1.
  15. Ganji M, Bailey J, Stuckey P. Lagrangian constrained clustering. 16th SIAM International Conference on Data Mining 2016, SDM 2016. 2016.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile