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. Abdelrahman Y, Khan A, Newn J, Furtado De Mendonca Moncores Velloso E, Safwat SA, Bailey J, Bulling A, Vetere F, Schmidt A. Classifying Attention Types with Thermal Imaging and Eye Tracking. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. Association for Computing Machinery (ACM). 2019, Vol. 3, Issue 3. DOI: 10.1145/3351227
  4. 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. ACM Press. 2019. DOI: 10.1145/3290605.3300816
  5. 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
  6. Jia Y, Bailey J, Kotagiri R, Leckie C, Houle ME. Improving the quality of explanations with local embedding perturbations. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2019. DOI: 10.1145/3292500.3330930
  7. 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
  8. 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
  9. 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
  10. Zhao Y, Calheiros RN, Vasilakos AV, Bailey J, Sinnott R. SLA-aware and deadline constrained profit optimization for cloud resource management in big data analytics-as-a-service platforms. 2019 IEEE 12th International Conference on Cloud Computing (CLOUD). IEEE. 2019, Vol. 2019-July. DOI: 10.1109/CLOUD.2019.00034
  11. 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. 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part I. Springer Verlag. 2019, Vol. 11625 LNAI. DOI: 10.1007/978-3-030-23204-7_9
  12. 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
  13. Ma X, Li B, Wang Y, M Erfani S, Wijewickrema S, Schoenebeck G, Song D, Houle ME, Bailey J. Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. International Conference on Learning Representations (ICLR). 2018.
  14. Wijewickrema S, Copson B, Ma X, Briggs R, Bailey J, Kennedy G, Oleary S. Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear. 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS). IEEE. 2018, Vol. 2018-June. DOI: 10.1109/CBMS.2018.00010
  15. Ma X, Wang Y, Houle ME, Zhou S, Monazam Erfani S, Xia S-T, Wijewickrema S, Bailey J. Dimensionality-Driven Learning with Noisy Labels. 35th International Conference on Machine Learning, ICML 2018. 2018, Vol. 8.

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