Professor James Bailey

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

Research interests

  • Artificial intelligence
  • Data mining
  • Health informatics
  • Immersive Simulation
  • Learning Analytics
  • Machine learning

Personal webpage


James Bailey is a Professor in the School of Computing and Information Systems, The University of Melbourne, and has been an Australian Research Council Future Fellow. He is a researcher and educator in machine learning, artificial intelligence and data science.

Recent publications

  1. Zhou Y, Wijewickrema S, Ioannou I, Bailey J, Kennedy G, Nestel D, O'Leary S. Do experts practice what they profess?. PLOS ONE. Public Library of Science. 2018, Vol. 13, Issue 1. DOI: 10.1371/journal.pone.0190611
  2. Ganji M, Chan J, Stuckey P, Bailey J, Leckie C, Kotagiri R, Davidson I. Image constrained blockmodelling: A constraint programming approach. SIAM International Conference on Data Mining, SDM 2018. 2018.
  3. Wijewickrema S, Zhou Y, Ioannou I, Copson B, Piromchai P, Yu C, Briggs R, Bailey J, Kennedy G, O'Leary S. Presentation of automated procedural guidance in surgical simulation: Results of two randomised controlled trials. Journal of Laryngology and Otology. Headley Brothers Invicta Press. 2018, Vol. 132, Issue 3. DOI: 10.1017/S0022215117002626
  4. Wijewickrema S, Ma X, Piromchai P, Briggs R, Bailey J, Kennedy G, O Leary S. Providing automated real-time technical feedback for virtual reality based surgical training: Is the simpler the better?. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2018, Vol. 10947 LNAI. DOI: 10.1007/978-3-319-93843-1_43
  5. Romano S, Nguyen X, Verspoor C, Bailey J. The randomized information coefficient: assessing dependencies in noisy data. MACHINE LEARNING. Kluwer Academic Publishers. 2018, Vol. 107, Issue 3. DOI: 10.1007/s10994-017-5664-2
  6. Lederman R, Constantinidis D, Linden T, Corrin L, Smith M, Pearce J, Bailey J. Using a Traffic Light System to Provide Feedback to IS Masters Students. ICIS 2017: Transforming Society with Digital Innovation. 2018.
  7. Ganji M, Bailey J, Stuckey P. A declarative approach to constrained community detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10416 LNCS. DOI: 10.1007/978-3-319-66158-2_31
  8. Ma X, Wijewickrema S, Zhou S, Zhou Y, Mhammedi Z, O'Leary S, Bailey J. Adversarial generation of real-time feedback with neural networks for Simulation-based training. IJCAI International Joint Conference on Artificial Intelligence. AAAI Press. 2017.
  9. Naghi Zadeh Kakhki E, Bailey J, Kulik L, Tanin E. Challenges of differentially private release of data under an open-world assumption. ACM International Conference Proceeding Series. 2017, Vol. Part F128636. DOI: 10.1145/3085504.3085531
  10. Ristanoski G, Soni R, Rajasegarar S, Bailey J, Leckie C. Clustering aided support vector machines. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10358 LNAI. DOI: 10.1007/978-3-319-62416-7_23
  11. Wijewickrema S, Copson B, Zhou Y, Ma X, Briggs R, Bailey J, Kennedy G, O'Leary S. Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery. 2017 IEEE 30TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS). IEEE. 2017, Vol. 2017-June. Editors: Bamidis PD, Konstantinidis ST, Rodrigues PP. DOI: 10.1109/CBMS.2017.10
  12. 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. 7th International Symposium on Artificial Intelligence (ISAI). Springer Verlag. 2017, Vol. 10091. Editors: Otake M, Kurahashi S, Ota Y, Satoh K, Bekki D. DOI: 10.1007/978-3-319-50953-2_25
  13. 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. DOI: 10.1109/TFUZZ.2016.2584644
  14. Monazam Erfani S, Baktashmotlagh M, Moshtaghi M, Nguyen V, Leckie C, Bailey J, Kotagiri R. From shared subspaces to shared landmarks: A robust multi-source classification approach. 31st AAAI Conference on Artificial Intelligence (AAAI). 2017.
  15. 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. DOI: 10.1016/j.patcog.2016.12.003

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