Dr Paul Darwen ~ Lecturer, JCU Brisbane

Research Disciplines

• Machine learning (4611)
• Computer vision and multimedia computation (4603)
• Artificial intelligence (4602)

Socio-Economic Objectives

• Information systems, technologies and services (2204)

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Darwen P (2019) Bayesian model averaging for river flow prediction. Applied Intelligence, 49. pp. 103-111
• Darwen P (2013) Two levels of Bayesian model averaging for optimal control of stochastic systems. International Journal of Systems Science, 44 (2). pp. 201-213
• Long S, Tran T, Adams P, Darwen P and Smythe M (2011) Conformational searching using a population-based incremental learning algorithm. Journal of Computational Chemistry, 32 (8). pp. 1541-1549
• Darwen P, Tran T, Bourne G, Nielson J and Smythe M (2006) A gradient descent algorithm for minimizing amino acid coupling reactions when synthesizing cyclic-peptide libraries. Combinatorial Chemistry and High Throughput Screening, 9 (7). pp. 559-563

Book Chapters

• Bourne G, Nielson J, Coughlan J, Darwen P, Campitelli M, Horton D, Rhümann A, Love S, Tran T and Smythe M (2005) A convenient method for synthesis of cyclic peptide libraries. In: Peptide Synthesis and Applications. Methods in Molecular Biology, 298. Humana Press, Totowa, New Jersey, pp. 151-166

Conference Papers

• Darwen P (2023) Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction. Lecture Notes in Artificial Intelligence. In: ACIIDS 2023: 15th Asian Conference on Intelligent Information and Database Systems, 24-26 July 2023, Phuket, Thailand
• Darwen P (2019) Cost-effective prediction in medicine and marketing: only the difference between Bayesian model averaging and the single best-fit model. Proceedings of the IEEE 31st International Conference on Tools for Artificial Intelligence. In: ICTAI 2019: IEEE 31st International Conference on Tools for Artificial Intelligence, 4-6 November 2019, Portland, OR, USA
• Darwen P (2019) The varying success of Bayesian model averaging: an empirical study of flood prediction. Proceedings of the IEEE Symposium Series on Computational Intelligence. In: SSCI 2018: IEEE Symposium Series on Computational Intelligence, 18-21 November 2018, Bengalaru, India
• Darwen P (2018) Questioning the efficient markets hypothesis: big data evidence of non-random stock prices. Proceedings of the International Conference on Big Data Analysis. In: ICBDA 2018: IEEE 3rd International Conference on Big Data Analysis, 9-12 March 2018, Shanghai, China
• Darwen P (2017) Bayesian model averaging for streamflow prediction of intermittent rivers. Lecture Notes in Artificial Intelligence. In: IEA/AIE 2017: 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 27-30 June 2017, Arras, France
• Darwen P (2012) Dam management with imperfect models: bayesian model averaging and neural network control. Proceedings of 8th International Conference on Intelligent Computing. In: ICIC 2012, 25-29 July 2012, Huangshan, China
• Darwen P (2010) The long tail in Bayesian optimal control in uncertain environments. Proceedings of 2010 Second World Congress on Nature and Biologically Inspired Computing. 15-17 December 2010, Fukuoka, Japan

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ResearchOnline@JCU stores 16+ research outputs authored by Dr Paul Darwen from 1996 onwards.