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. 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
  2. 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
  3. 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
  4. 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
  5. Jia, Y.; Bailey, J.; Ramamohanarao, K.; Leckie, C.; Ma, X. Exploiting patterns to explain individual predictions. Knowledge and Information Systems. Springer Science and Business Media LLC. 2019. DOI: 10.1007/s10115-019-01368-9
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  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. 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
  12. Mirmomeni, M.; Kowsar, Y.; Kulik, L.; Bailey, J. An automated matrix profile for mining consecutive repeats in time series. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature. 2018, Vol. 11013 LNAI, pp. 192-200. 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. 6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings. 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, pp. 12-17. DOI: 10.1109/CBMS.2018.00010
  15. Ma, X.; Wang, Y.; Houle, ME.; Zhou, S.; Erfani, SM.; Xia, S-T.; Wijewickrema, S.; Bailey, J. Dimensionality-Driven Learning with Noisy Labels. 35th International Conference on Machine Learning, ICML 2018. JMLR. 2018, Vol. 8, pp. 5332-5341.
  16. 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 SCIENCE. 2018, Vol. 13, Issue 1. DOI: 10.1371/journal.pone.0190611
  17. Ganji, M.; Chan, J.; Stuckey, PJ.; Bailey, J.; Leckie, C.; Ramamohanarao, K.; Davidson, I. Image constrained blockmodelling: A constraint programming approach. SIAM International Conference on Data Mining, SDM 2018. Society for Industrial and Applied Mathematics. 2018, pp. 19-27.
  18. 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. The Computer Vision Foundation. 2018, pp. 8688-8696. DOI: 10.1109/CVPR.2018.00906
  19. 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, GK. Laboratory alerts to guide early intensive care team review in surgical patients: A feasibility, safety, and efficacy pilot randomized controlled trial. Resuscitation. ELSEVIER IRELAND LTD. 2018, Vol. 133, pp. 167-172. DOI: 10.1016/j.resuscitation.2018.10.012
  20. Ganj, M.; Bailey, J.; Stuckey, PJ. Lagrangian constrained community detection. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI. 2018, pp. 2983-2990.

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