Projects per year
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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Mathematics, Doctor of Philosophy, Monash University
Award Date: 6 Dec 1991
Econometrics, Master of Science (Econometrics), London School of Economics and Political Science
Award Date: 30 Sept 1987
Mathematics, Bachelor of Science (Honours), University of Melbourne
Award Date: 4 Dec 1982
Research area keywords
- Human and Artificial Intelligence
- Minimum Message Length Inference
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 10 Finished
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New Statistical Techniques for Galactic Archaeology
Lattanzio, J., Dowe, D. & Aleti, A.
Australian Research Council (ARC), Monash University
1/01/16 → 31/08/19
Project: Research
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New statistical approaches for analysing foodwebs and species distributions
Stone, L., Dowe, D., Gordon, A., Wang, Y., Solow, A. & Dorazio, R.
Australian Research Council (ARC)
12/05/15 → 31/12/17
Project: Research
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Rating and ranking sports players and teams using Minimum Message Length
Dowe, D., Barnett, T. & Khanna, A.
Australian Research Council (ARC), Cadability Pty Ltd
31/03/11 → 31/12/17
Project: Research
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A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
Yap, S-Y., Loo, J. Y., Ting, C-M., Noman, F., Phan, R. C. W., Razi, A. & Dowe, D. L., 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. Larson, K. (ed.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 5353-5361 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access -
Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra
Nguyen, H. A., Peleg, A. Y., Song, J., Antony, B., Webb, G. I., Wisniewski, J. A., Blakeway, L. V., Badoordeen, G. Z., Theegala, R., Zisis, H., Dowe, D. L. & Macesic, N., Sept 2024, In: mSystems. 9, 9, 18 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access3 Citations (Scopus) -
Accounting method selection using neural networks and multi-criteria decision making
Duan, Y., Yeh, C-H. & Dowe, D. L., 2021, Proceedings of the 54th Annual Hawaii International Conference on System Sciences. Bui, T. X. (ed.). New York NY USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1550-1559 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Improving machine learning prediction of peatlands fire occurrence for unbalanced data using SMOTE approach
Rosadi, D., Arisanty, D., Andriyani, W., Peiris, S., Agustina, D., L. Dowe, D. & Fang, Z., 2021, 2021 International Conference on Data Science, Artificial Intelligence, and Business Analytics (DATABIA), Proceedings. Jaya, I. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 160-163 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Minimum Message Length in hybrid ARMA and LSTM model forecasting
Fang, Z., L. Dowe, D., Peiris, S. & Rosadi, D., 29 Nov 2021, In: Entropy. 23, 12, 21 p., 1601.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile