Darwen, Paul J. (2023) Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction. In: Lecture Notes in Artificial Intelligence (13995) pp. 210-223. From: ACIIDS 2023: 15th Asian Conference on Intelligent Information and Database Systems, 24-26 July 2023, Phuket, Thailand.

Darwen, Paul J. (2019) Bayesian model averaging for river flow prediction. Applied Intelligence, 49. pp. 103-111.

Darwen, Paul J. (2019) Cost-effective prediction in medicine and marketing: only the difference between Bayesian model averaging and the single best-fit model. In: Proceedings of the IEEE 31st International Conference on Tools for Artificial Intelligence. pp. 1274-1279. From: ICTAI 2019: IEEE 31st International Conference on Tools for Artificial Intelligence, 4-6 November 2019, Portland, OR, USA.

Darwen, Paul J. (2019) The varying success of Bayesian model averaging: an empirical study of flood prediction. In: Proceedings of the IEEE Symposium Series on Computational Intelligence. pp. 1764-1771. From: SSCI 2018: IEEE Symposium Series on Computational Intelligence, 18-21 November 2018, Bengalaru, India.

Darwen, Paul J. (2018) Questioning the efficient markets hypothesis: big data evidence of non-random stock prices. In: Proceedings of the International Conference on Big Data Analysis. pp. 201-205. From: ICBDA 2018: IEEE 3rd International Conference on Big Data Analysis, 9-12 March 2018, Shanghai, China.

Darwen, Paul J. (2017) Bayesian model averaging for streamflow prediction of intermittent rivers. In: Lecture Notes in Artificial Intelligence (10351) pp. 227-236. From: IEA/AIE 2017: 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 27-30 June 2017, Arras, France.

Darwen, Paul (2016) Undergraduate statistics: an empirical comparison of blended and traditional learning, and national origin. In: [Presented at the Australian Council for Computers in Education Conference]. From: ACCE 2016: Australian Council for Computers in Education Conference, 29 September - 2 October 2016, Brisbane, QLD, Australia.

Darwen, Paul J. (2013) Two levels of Bayesian model averaging for optimal control of stochastic systems. International Journal of Systems Science, 44 (2). pp. 201-213.

Darwen, Paul J. (2012) Dam management with imperfect models: bayesian model averaging and neural network control. In: Proceedings of 8th International Conference on Intelligent Computing (304) pp. 360-366. From: ICIC 2012, 25-29 July 2012, Huangshan, China.

Long, Stephen M., Tran, Tran T., Adams, Peter, Darwen, Paul, and Smythe, Mark L. (2011) Conformational searching using a population-based incremental learning algorithm. Journal of Computational Chemistry, 32 (8). pp. 1541-1549.

Darwen, Paul J. (2010) The long tail in Bayesian optimal control in uncertain environments. In: Proceedings of 2010 Second World Congress on Nature and Biologically Inspired Computing. pp. 579-586. From: 2010 Second World Congress on Nature and Biologically Inspired Computing, 15-17 December 2010, Fukuoka, Japan.

Darwen, Paul J., Tran, Tran T., Bourne, Gregory T., Nielson, Jonathan L., and Smythe, Mark L. (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.

Bourne, Gregory T., Nielson, Jonathon L., Coughlan, Justin F., Darwen, Paul, Campitelli, Marc R., Horton, Douglas A., Rhümann, Andreas, Love, Stephen G., Tran, Tran T., and Smythe, Mark L. (2005) A convenient method for synthesis of cyclic peptide libraries. In: Howl, John, (ed.) Peptide Synthesis and Applications. Methods in Molecular Biology, 298 (298). Humana Press, Totowa, New Jersey, pp. 151-166.

Darwen, Paul J. (2002) Evolving a schedule with batching, precedence constraints, and sequence-dependent setup times: crossover needs building blocks. In: Lecture Notes in Computer Science (2358) pp. 525-535. From: IEA/AIE 2002: 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 17-20 June 2002, Cairns, QLD, Australia.

Darwen, Paul J., and Yao, Xin (2002) Co-evolution in iterated prisoner's dilemma with intermediate levels of cooperation: application to missile defense. International Journal of Computational Intelligence and Applications, 2 (1). pp. 83-107.

Darwen, P.J., and Green, D.G. (1996) Viability of populations in a landscape. Ecological Modelling, 85 (2-3). pp. 165-171.