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

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

Biography

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. De Barba, PG.; Malekian, D.; Oliveira, EA.; Bailey, J.; Ryan, T.; Kennedy, G. The importance and meaning of session behaviour in a MOOC. Computers and Education. PERGAMON-ELSEVIER SCIENCE LTD. 2020, Vol. 146. DOI: 10.1016/j.compedu.2019.103772
  2. Yang, C.; Tavassolian, N.; Haddad, WM.; Bailey, JM.; Gholami, B. A Fast Parameter Identification Framework for Personalized Pharmacokinetics.. Scientific Reports. Springer Science and Business Media LLC. 2019, Vol. 9, Issue 1, pp. 14143-. DOI: 10.1038/s41598-019-50810-z
  3. Naderivesal, S.; Kulik, L.; Bailey, J. An effective and versatile distance measure for spatiotemporal trajectories. Data Mining and Knowledge Discovery. SPRINGER. 2019, Vol. 33, Issue 3, pp. 577-606. DOI: 10.1007/s10618-019-00615-5
  4. Demirović, E.; Stuckey, PJ.; Bailey, J.; Chan, J.; Leckie, C.; Ramamohanarao, K.; Guns, T. An Investigation into PredictionÂ�Â�Optimisation for the Knapsack Problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019, Vol. 11494 LNCS, pp. 241-257. DOI: 10.1007/978-3-030-19212-9_16
  5. Jiang, L.; Ma, X.; Chen, S.; Bailey, J.; Jiang, YG. Black-box adversarial attacks on video recognition models. Proceedings of the 27th ACM International Conference on Multimedia - MM '19. Association for Computing Machinery. 2019, pp. 864-872. DOI: 10.1145/3343031.3351088
  6. Hashem, T.; Rashidi, L.; Bailey, J.; Kulik, L. Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2019, Vol. 11807 LNCS, pp. 247-264. DOI: 10.1007/978-3-030-32047-8_22
  7. Abdelrahman, Y.; Khan, AA.; Newn, J.; 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, pp. 1-27. DOI: 10.1145/3351227
  8. Srivastava, N.; Velloso, E.; Lodge, JM.; Erfani, S.; Bailey, J. Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19. ACM Press. 2019. DOI: 10.1145/3290605.3300816
  9. Jia, Y.; Bailey, J.; Ramamohanarao, K.; Leckie, C.; Ma, X. Exploiting patterns to explain individual predictions. Knowledge and Information Systems. Springer London. 2019. DOI: 10.1007/s10115-019-01368-9
  10. Jia, Y.; Bailey, J.; Ramamohanarao, K.; Leckie, C.; Houle, ME. Improving the quality of explanations with local embedding perturbations. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19. ACM. 2019, pp. 875-884. DOI: 10.1145/3292500.3330930
  11. Moshtaghi, M.; Bezdek, JC.; Erfani, SM.; Leckie, C.; Bailey, J. Online cluster validity indices for performance monitoring of streaming data clustering. International Journal of Intelligent Systems. WILEY. 2019, Vol. 34, Issue 4, pp. 541-563. DOI: 10.1002/int.22064
  12. Demirović, E.; Stuckey, PJ.; Bailey, J.; Chan, J.; Leckie, C.; Ramamohanarao, K.; Guns, T. Predict+optimise with ranking objectives: Exhaustively learning linear functions. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence. 2019, Vol. 2019-August, pp. 1078-1085. DOI: 10.24963/ijcai.2019/151
  13. Liu, J.; Bailey, J. Preface. . 2019, Vol. 11919 LNAI, pp. v-vi.
  14. Zhao, Y.; Calheiros, RN.; Vasilakos, AV.; Bailey, J.; Sinnott, RO. Profit maximization and time minimization admission control and resource scheduling for cloud-based big data analytics-as-a-service platforms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019, Vol. 11512 LNCS, pp. 26-47. DOI: 10.1007/978-3-030-23499-7_3
  15. Ganji, M.; Chan, J.; Stuckey, PJ.; Bailey, J.; Leckie, C.; Ramamohanarao, K.; 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 International Publishing. 2019, Vol. 11052 LNAI, pp. 158-174. DOI: 10.1007/978-3-030-10928-8_10
  16. Zhao, Y.; Calheiros, RN.; Vasilakos, AV.; Bailey, J.; Sinnott, RO. 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, pp. 146-156. DOI: 10.1109/CLOUD.2019.00034
  17. Schimbinschi, F.; Walder, C.; Erfani, SM.; Bailey, J. SynthNet: Learning to synthesize music end-to-end. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. IJCAI. 2019, Vol. 2019-August, pp. 3367-3374. DOI: 10.24963/ijcai.2019/467
  18. 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. 2019, Vol. 11625 LNAI, pp. 96-109. DOI: 10.1007/978-3-030-23204-7_9
  19. Phan, TS.; Costa, R.; Haddad, WM.; Mullis, JC.; Price, LT.; Cason, AD.; Bailey, JM.; Gholami, B. Validation of an automated system for detecting ineffective triggering asynchronies during mechanical ventilation: a retrospective study. Journal of Clinical Monitoring and Computing. Springer Science and Business Media LLC. 2019. DOI: 10.1007/s10877-019-00442-5
  20. Gholami, B.; Haddad, WM.; Bailey, JM.; Geist, B.; Ueyama, Y.; Muir, WW. A pilot study evaluating adaptive closed-loop fluid resuscitation during states of absolute and relative hypovolemia in dogs.. Journal of Veterinary Emergency and Critical Care. Wiley. 2018, Vol. 28, Issue 5, pp. 436-446. DOI: 10.1111/vec.12753

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