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. 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
  2. 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.
  3. 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
  4. 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
  5. Wijewickrema S, Copson B, Zhou Y, Ma X, Briggs R, Bailey J, Kennedy G, Oleary S. Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery. Proceedings - IEEE Symposium on Computer-Based Medical Systems. 2017, Vol. 2017-June. DOI: 10.1109/CBMS.2017.10
  6. 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10091 LNCS. DOI: 10.1007/978-3-319-50953-2_25
  7. 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
  8. 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.
  9. 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
  10. Lau L, Kankanige Y, Rubinstein B, Jones R, Christophi C, Muralidharan V, Bailey J. Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation. TRANSPLANTATION. Lippincott Williams & Wilkins. 2017, Vol. 101, Issue 4. DOI: 10.1097/TP.0000000000001600
  11. Ma X, Wijewickrema S, Zhou Y, Zhou S, O Leary S, Bailey J. Providing effective real-time feedback in simulation-based surgical training. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10434 LNCS. DOI: 10.1007/978-3-319-66185-8_64
  12. Lei Y, Nguyen X, Chan J, Bailey J. rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. KNOWLEDGE AND INFORMATION SYSTEMS. Springer London. 2017, Vol. 52, Issue 1. DOI: 10.1007/s10115-016-1008-y
  13. Ma X, Wijewickrema S, Zhou Y, Copson B, Bailey J, Kennedy G, O'Leary S. Simulation for Training Cochlear Implant Electrode Insertion. Proceedings - IEEE Symposium on Computer-Based Medical Systems. 2017, Vol. 2017-June. DOI: 10.1109/CBMS.2017.12
  14. Copson B, Wijewickrema S, Zhou Y, Piromchai P, Briggs R, Bailey J, Kennedy G, O'Leary S. Supporting skill acquisition in cochlear implant surgery through virtual reality simulation. Cochlear Implants International. Whurr Publishers. 2017, Vol. 18, Issue 2. DOI: 10.1080/14670100.2017.1289299
  15. Romano S, Nguyen X, Verspoor C, Bailey J. The randomized information coefficient: assessing dependencies in noisy data. Machine Learning. Kluwer Academic Publishers. 2017. DOI: 10.1007/s10994-017-5664-2

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