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2018
[Anonymous] (2018).  Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites. CPAIOR.
Smith-Miles, K. (2018).  Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites. International Joint Conference on Artificial Intelligence, Workshop of Data Science Meets Optimisation.
Smith-Miles, K. (2018).  Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites. 4th Asia Pacific World Congress on Engineering.
Paam, P.., Berretta R.., & Heydar M. (2018).  An Integrated Loss-Based Optimization Model for Apple Supply Chain. (N., K., J. E., & R. B., Ed.).Operations Research Proceedings 2017. 663 - 669.
Filonik, D., Buchan A., Ogden-Doyle L., & Bednarz T. (2018).  Interactive scenario visualisation in immersive virtual environments for decision making support. the 16th ACM SIGGRAPH International ConferenceProceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry - VRCAI '18. 1 - 4.
Delaigle, A. (2018).  Introduction to functional data. ACEMS ECR and student retreat.
Tsuchida, R., Roosta-Khorasani F., & Gallagher M. (2018).  Invariance of Weight Distributions in Rectified MLPs. (Dy, J., & Krause A., Ed.).Proceedings of the 35th International Conference on Machine Learning. 80, 4995–5004.
Coutts, S. R., Helmstedt K. J., & Bennett J. R. (2018).  Invasion lags: The stories we tell ourselves and our inability to infer process from pattern. (Roura-Pascual, N., Ed.).Diversity and Distributions. 24(2), 244-251.
Broc, C.., Evangelou M.., Guenel P.., Truing T.., & Liquet B.. (2018).  Investigating Gene- and Pathway-environment Interaction analysis approaches. Journal de la Société Française de Statistique. 159(2), 56-83.
Cramb, S., Duncan EW., Baade P., & Mengersen KL. (2018).  Investigation of Bayesian spatial models.
Martin, G. M., Nadarajah K., & Poskitt D. S. (2018).  Issues in the Estimation of Mis-Specified Models of Fractionally Integrated Processes. The 14th International Symposium on Econometric Theory and Applications, University of Sydney, Australia.
Nadarajah, K., Martin G. M., & Poskitt D. S. (2018).  Issues in the Estimation of Mis-Specified Models of Fractionally Integrated Processes. The Econometric Society Australasian Meeting (ESAM).
Liew, B. X. W., Drovandi C. C., Clifford S., Keogh J. W. L., Morris S., & Netto K. (2018).  Joint-level energetics differentiate isoinertial from speed-power resistance training—a Bayesian analysis. PeerJ. 6, e4620.
Chen, Z., Hiki I., & Sasamoto T. (2018).  KPZ universality in a two-species exclusion processes. Current topics at the intersection of physics and mathematics.
Hirsch, C., Jahnel B., Keeler H., & Patterson R. (2018).  Large deviations in relay-augmented wireless networks. Queueing Systems. 88(3-4), 349-387.
Elçi, E. Metin, Grimm J., Ding L., Nasrawi A., Garoni T. M., & Deng Y. (2018).  Lifted worm algorithm for the Ising model. Physical Review E. 97(4), 
Read, N., Duff T. J., & Taylor P. (2018).  A lightning-caused wildfire ignition forecasting model for operational use. Agricultural and Forest Meteorology. 253-254, 233 - 246.
Ong, V. M. - H., Nott D. J., Tran M N., Sisson S., & Drovandi C. C. (2018).  Likelihood-free inference in high dimensions with synthetic likelihood. Computational Statistics & Data Analysis. 128, 271 - 291.
Yen, J. D. L., Thomson J. R., Keith J.M.., Paganin D. M., Fleishman E., Bennett A. F., et al. (2018).  Linking species richness and size diversity in birds and fishes. Ecography. 41(12), 1979 - 1991.
Edwards, S.. J., Baatar D.., Ernst A.. T., & Smith-Miles K. (2018).  The Liquid Handling Robot Scheduling. SPARK-18. Proceedings of 11th Workshop on Scheduling and Planning Applications Workshop, pp 18-26.
Edwards, S. J., Baatar D., Ernst A., & Smith-Miles K. (2018).  The Liquid Handling Robot Scheduling Problem. International Conference of Austomated Planning and Scheduling (ICAPS): Scheduling and Planning Applications woRKshop (SPARK). 18-26.
Fourment, M., & Darling A. E. (2018).  Local and relaxed clocks: the best of both worlds. PeerJ. 6, e5140.
Barbour, A. D., McVinish R., & Pollett P. (2018).  Local approximation of a metapopulation’s equilibrium. Journal of Mathematical Biology. 77(3), 765 - 793.
Strang, G., & MacNamara S. (2018).  A Local Inverse Formula and a Factorization. Contemporary Computational Mathematics – a celebration of the 80th birthday of Ian Sloan.
Beranger, B., & Sisson S. (2018).  Logistic Regression Models for Histogram-valued Symbolic Data. UNSW Mathematics and Statistics Postgraduate Conference.
Larson, N., Wang Q., Grannon K., Wei S., Nanney M. S., & Caspi C. (2018).  A Low-Cost, Grab-and-Go Breakfast Intervention for Rural High School Students: Changes in School Breakfast Program Participation Among At-Risk Students in Minnesota. Journal of Nutrition Education and Behavior. 50(2), 125 - 132.e1.
Montarezi, A., Beaton N. R., & Makaroff D. (2018).  LRU-2 vs. 2-LRU: An Analytical Study. IEEE 43rd Conference on Local Computer Networks (LCN).
Panagiotelis, A., Athanasopoulos G., Hyndman R. J., Vahid F., & Jiang B. (2018).  Macroeconomic forecasting for Australia using a large number of predictors. International Journal of Forecasting. 35,
Huang, W., Luo J., Bednarz T., & Duh H. (2018).  Making graph visualization a user-centered process. Journal of Visual Languages & Computing. 48, 1-8.
Jahan, F., Duncan EW., Cramb S., Baade P. D., & Mengersen KL. (2018).  Making More of Spatial Maps: A Bayesian meta-analysis approach. Workshop on Young Bayesians and Big Data for Social Good.
Jahan, F., Duncan E., Cramb S., Baade P. D., & Mengersen KL. (2018).  Making More of Spatial Maps: A Bayesian Meta-analysis approach. ACEMS Students Retreat.
Wu, P., McMahon K., Rasheed M. A., Kendrick G. A., York P. H., Chartrand K., et al. (2018).  Managing seagrass resilience under cumulative dredging affecting light: Predicting risk using dynamic Bayesian networks. Journal of Applied Ecology. 55(3), 1339-1350.
Latouche, G., & Simon M. (2018).  Markov-Modulated Brownian Motion with Temporary Change of Regime at Level Zero. Methodology and Computing in Applied Probability. 20(4), 1199 - 1222.
Conway, E., Farrell T., & Psaltis S. T. P. (2018).  Mathematical Modeling of Ion Transport through Nanopores. The Journal of Physical Chemistry C. 122(41), 23728 - 23738.
Ranathunga, D., Roughan M., & Nguyen H. (2018).  Mathematical Reconciliation of Medical Privacy Policies. IEEE Journal of Biomedical and Health Informatics.
De Gier, J. (2018).  A mathematician’s survival guide. AustMS Early Career Workshop.
Quiroz, M., Nott D., & Kohn R. (2018).  The Mathematics of Biological Systems Management Symposium. The Mathematics of Biological Systems Management Symposium.
Forrester, P., Ipsen J., & Liu D-Z. (2018).  Matrix Product Ensembles of Hermite Type and the Hyperbolic Harish-Chandra–Itzykson–Zuber Integral. Annales Henri Poincaré. 19(5), 1307 - 1348.
Finn, C. (2018).  Matrix product solution of a left ‐ permeable two ‐ species asymmetric exclusion process. Non-equilibrium systems and special functions.
Ayyer, A., Finn C., & Roy D. (2018).  Matrix product solution of a left-permeable two-species asymmetric exclusion process. Physical Review E. 97(1), 
Finn, C., Ragoucy E., & Vanicat M. (2018).  Matrix product solution to multi-species ASEP with open boundaries. Journal of Statistical Mechanics: Theory and Experiment. 2018(4), 043201.
Mitchell, L., & Bagrow J. (2018).  Measuring information flow in social networks. DST Group Modelling Complex Warfighting Symposium.
Chowdhury, N. Roy, Cook D., Hofmann H., & Majumder M. (2018).  Measuring Lineup Difficulty By Matching Distance Metrics With Subject Choices in Crowd-Sourced Data. Journal of Computational and Graphical Statistics. 27(1), 132 - 145.
Stephenson, A. G., Saunders K., & Tafakori L. (2018).  The MELBS team winning entry for the EVA2017 competition for spatiotemporal prediction of extreme rainfall using generalized extreme value quantiles. Extremes. 21(3), 477 - 484.
Talagala, T., Hyndman R. J., & Athanasopoulos G. (2018).  Meta-learning how to forecast time series.
Talagala, T. (2018).  Meta-learning how to forecast time series. 38th International Symposium on Forecasting.
Herbert, J., Bertling K., Taimre T., Rakić A. D., & Wilson S. (2018).  Microparticle discrimination using laser feedback interferometry. Optics Express. 26(20), 25778.
Baatar, D., Ehrgott M., Hamacher H. W., & Raschendorfer I. M. (2018).  Minimizing the number of apertures in multileaf collimator sequencing with field splitting. Discrete Applied Mathematics. 250, 87-103.
Ernst, A., Thiruvady D., Baatar D., Kenny A., Krishnamoorthy M., & Singh G. (2018).  Mining, Matheuristics and Merge Search. Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 15th International Conference, CPAIOR 2018, Delft, The Netherlands. Proceedings, LNCS 10848,
Mitchell, L., Dent J., & Ross J. (2018).  Mo' characters mo' problems: Online social media platform constraints and modes of communication. Association of Internet Researchers 2018.

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