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. Naderivesal S, Kulik L, Bailey J. An effective and versatile distance measure for spatiotemporal trajectories. DATA MINING AND KNOWLEDGE DISCOVERY. Kluwer Academic Publishers. 2019, Vol. 33, Issue 3. DOI: 10.1007/s10618-019-00615-5
  2. DemiroviĆ E, Stuckey PJ, Bailey J, Chan J, Leckie C, Kotagiri R, Guns T. An Investigation into PredictionÂ�Â�Optimisation for the Knapsack Problem. 16th International Conference, CPAIOR 2019, Thessaloniki, Greece, June 4–7, 2019, Proceedings. Springer Verlag. 2019, Vol. 11494 LNCS. DOI: 10.1007/978-3-030-19212-9_16
  3. Srivastava N, Furtado De Mendonca Moncores Velloso E, Lodge J, Monazam Erfani S, Bailey J. Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS. Association for Computing Machinery Inc.. 2019. DOI: 10.1145/3290605.3300816
  4. Jia Y, Bailey J, Kotagiri R, Leckie C, Ma X. Exploiting patterns to explain individual predictions. Knowledge and Information Systems. Springer London. 2019. DOI: 10.1007/s10115-019-01368-9
  5. Moshtaghi M, Bezdek J, Monazam Erfani S, Leckie C, Bailey J. Online cluster validity indices for performance monitoring of streaming data clustering. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS. John Wiley & Sons. 2019, Vol. 34, Issue 4. DOI: 10.1002/int.22064
  6. Zhao Y, Calheiros RN, Vasilakos AV, Bailey J, Sinnott R. Profit maximization and time minimization admission control and resource scheduling for cloud-based big data analytics-as-a-service platforms. ICWS: International Conference on Web Services. Springer Verlag. 2019, Vol. 11512 LNCS. DOI: 10.1007/978-3-030-23499-7_3
  7. Ganji M, Chan J, Stuckey P, Bailey J, Leckie C, Kotagiri R, Park L. Semi-supervised blockmodelling with pairwise guidance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2019, Vol. 11052 LNAI. DOI: 10.1007/978-3-030-10928-8_10
  8. Davaris M, Wijewickrema S, Zhou Y, Piromchai P, Bailey J, Kennedy G, O’leary S. The importance of automated real-time performance feedback in virtual reality temporal bone surgery training. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2019, Vol. 11625 LNAI. DOI: 10.1007/978-3-030-23204-7_9
  9. Mirmomeni M, Kowsar Y, Kulik L, Bailey J. An automated matrix profile for mining consecutive repeats in time series. 15th Pacific Rim International Conference on Artificial Intelligence. Springer Verlag. 2018, Vol. 11013 LNAI. DOI: 10.1007/978-3-319-97310-4_22
  10. 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
  11. Ganji M, Chan J, Stuckey P, Bailey J, Leckie C, Kotagiri R, Davidson I. Image constrained blockmodelling: A constraint programming approach. Proceedings of the. Society for Industrial and Applied Mathematics. 2018.
  12. Wang Y, Liu W, Ma X, Bailey J, Zha H, Song L, Xia S-T. Iterative Learning with Open-set Noisy Labels. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR). IEEE Computer Society. 2018. DOI: 10.1109/CVPR.2018.00906
  13. Bellomo R, Chan M, Guy C, Proimos H, Franceschi F, Crisman M, Nadkarni A, Ancona P, Pan K, Di Muzio F, Presello B, Bailey J, Young M, Hart G. Laboratory alerts to guide early intensive care team review in surgical patients: A feasibility, safety, and efficacy pilot randomized controlled trial. RESUSCITATION. Elsevier Science Ireland. 2018, Vol. 133. DOI: 10.1016/j.resuscitation.2018.10.012
  14. Ganj M, Bailey J, Stuckey P. Lagrangian constrained community detection. 32nd AAAI Conference on Artificial Intelligence. 2018.
  15. Wang Y, Dai B, Kong L, Monazam Erfani S, Bailey J, Zha H. Learning deep hidden nonlinear dynamics from aggregate data. 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. 2018, Vol. 1.

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