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Personal profile

Biography

David works in the Faculty of Information Technology at Monash University as an Associate Professor.

Monash teaching commitment

Associate Professor David Dowe has experience as the Chief Examiner for the following units in the Faculty of IT:

  • FIT4009 Advanced topics in intelligent systems
  • FIT5158 Customer relationship management and data mining

David has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT1004 Data management
  • FIT2017 Computer models for business decision making
  • FIT3036 Computer science project
  • FIT3063 Human-computer interaction
  • FIT4009 Advanced topics in intelligent systems
  • FIT5047 Intelligent systems
  • FIT5097 Business intelligence modelling
  • FIT5158 Customer relationship management and data mining

Keywords

  • Human and Artificial Intelligence
  • Minimum Message Length Inference

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2003 2019

Research Output 1996 2018

Accounting results modelling with neural networks: the case of an international oil and gas company

Duan, Y., Yeh, C-H. & Dowe, D. L., 2018, Neural Information Processing : 25th International Conference, ICONIP 2018 Siem Reap, Cambodia, December 13–16, 2018 Proceedings, Part II. Cheng, L., Leung, A. C. S. & Ozawa, S. (eds.). Cham Switzerland: Springer, p. 275-285 11 p. (Lecture Notes in Computer Science; vol. 11302 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Combining images and anatomical knowledge to improve automated vein segmentation in MRI

Ward, P. G. D., Ferris, N. J., Raniga, P., Dowe, D. L., Ng, A. C. L., Barnes, D. G. & Egan, G. F., 2018, In : NeuroImage. 165, p. 294-605 12 p.

Research output: Contribution to journalArticleResearchpeer-review

A new AI evaluation cosmos: Ready to play the game?

Hernández-Orallo, J., Baroni, M., Bieger, J., Chmait, N., Dowe, D. L., Hofmann, K., Martínez-Plumed, F., Strannegård, C. & Thórissons, K. R., 1 Sep 2017, In : AI Magazine. 38, 3, p. 66-69 4 p.

Research output: Contribution to journalArticleOtherpeer-review

An information-theoretic predictive model for the accuracy of AI agents adapted from psychometrics

Chmait, N., Dowe, D. L., Li, Y-F. & Green, D. G., 2017, Artificial General Intelligence : 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15–18, 2017, Proceedings. Everitt, T., Potapov, A. & Goertzel, B. (eds.). Cham, Switzerland: Springer, p. 225-236 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10414 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Computer models solving intelligence test problems: progress and implications

Hernández-Orallo, J., Martínez-Plumed, F., Schmid, U., Siebers, M. & Dowe, D. L., 2017, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17). Sierra, C. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 5005-5009 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Open Access
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