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2023 Journal Article InSpectra – A Platform for Identifying Emerging Chemical ThreatsFeraud, Mathieu, O’Brien, Jake W., Samanipour, Saer, Dewapriya, Pradeep, van Herwerden, Denice, Kaserzon, Sarit, Wood, Ian, Rauert, Cassandra and Thomas, Kevin V. (2023). InSpectra – A Platform for Identifying Emerging Chemical Threats. Journal of Hazardous Materials, 455 131486, 1-15. doi: 10.1016/j.jhazmat.2023.131486 |
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2023 Conference Publication Development of a Composite Scaffold for Load-bearing and Biomaterial-controlled Regeneration of Zonal Articular Cartilage PropertiesAbu Shaqrah, Hadeel J. N., O'shea, Donagh G., Wood, Ian, O'brien, Fergal J. and Hodgkinson, Tom (2023). Development of a Composite Scaffold for Load-bearing and Biomaterial-controlled Regeneration of Zonal Articular Cartilage Properties. Meeting of the European-Chapter of the Tissue-Engineering-and-Regenerative-Medicine-International-Society (TERMIS), Manchester England, Mar 28-31, 2023. NEW ROCHELLE: MARY ANN LIEBERT, INC. |
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2022 Journal Article A modified expectation-maximization algorithm for latent Gaussian graphical modelZheng, Chaowen, Huang, Jingfang, Wood, Ian A. and Wu, Yichao (2022). A modified expectation-maximization algorithm for latent Gaussian graphical model. Canadian Journal of Statistics, 50 (2), 612-637. doi: 10.1002/cjs.11643 |
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2022 Journal Article ORAI1 regulates sustained cytosolic free calcium fluctuations during breast cancer cell apoptosis and apoptotic resistance via a STIM1 independent pathwayBassett, John J., Robitaille, Mélanie, Peters, Amelia A., Bong, Alice H. L., Taing, Meng‐Wong, Wood, Ian A., Sadras, Francisco, Roberts‐Thomson, Sarah J. and Monteith, Gregory R. (2022). ORAI1 regulates sustained cytosolic free calcium fluctuations during breast cancer cell apoptosis and apoptotic resistance via a STIM1 independent pathway. The FASEB Journal, 36 (1) e22108, e22108. doi: 10.1096/fj.202002031rr |
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2020 Conference Publication A novel mutation operator for variable length algorithmsVan Ryt, Saskia, Gallagher, Marcus and Wood, Ian (2020). A novel mutation operator for variable length algorithms. AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint Conference, Canberra, ACT, Australia, 29 - 30 November 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-64984-5_14 |
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2018 Journal Article Direct feature evaluation in black-box optimization using problem transformationsSaleem, Sobia, Gallagher, Marcus and Wood, Ian (2018). Direct feature evaluation in black-box optimization using problem transformations. Evolutionary Computation, 27 (1), 75-98. doi: 10.1162/evco_a_00247 |
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2018 Conference Publication A model-based framework for black-box problem comparison using gaussian processesSaleem, Sobia, Gallagher, Marcus and Wood, Ian (2018). A model-based framework for black-box problem comparison using gaussian processes. 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, Coimbra, Portugal, 8-12 September 2018. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-319-99259-4_23 |
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2017 Conference Publication Size does matter: A simulation study of hospital size and operational efficiencyBogomolov, T., Filar, J. A., Luscombe, R., Nazarathy, Y., Qin, S., Swierkowski, P. and Wood, I. (2017). Size does matter: A simulation study of hospital size and operational efficiency. 22nd International Congress on Modelling and Simulation, Hobart, TAS Australia, 3 - 8 December 2017. Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ). |
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2016 Journal Article Asymptotic normality of the maximum pseudolikelihood estimator for fully visible boltzmann machinesNguyen, Hien D. and Wood, Ian A. (2016). Asymptotic normality of the maximum pseudolikelihood estimator for fully visible boltzmann machines. IEEE Transactions on Neural Networks and Learning Systems, 27 (4) 7103361, 897-902. doi: 10.1109/TNNLS.2015.2425898 |
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2016 Journal Article A block successive lower-bound maximization algorithm for the maximum pseudo-likelihood estimation of fully visible Boltzmann machinesNguyen, Hien D. and Wood, Ian A. (2016). A block successive lower-bound maximization algorithm for the maximum pseudo-likelihood estimation of fully visible Boltzmann machines. Neural Computation, 28 (3), 485-492. doi: 10.1162/NECO_a_00813 |
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2016 Conference Publication Maximum pseudolikelihood estimation for mixture-Markov random field segmentation of the brainChan, Amy, Wood, Ian A. and Fripp, Jurgen (2016). Maximum pseudolikelihood estimation for mixture-Markov random field segmentation of the brain. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Gold Coast, Australia, 30 November-2 December 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/DICTA.2016.7797062 |
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2016 Journal Article Mixtures of spatial spline regressions for clustering and classificationNguyen, Hien D., McLachlan, Geoffrey J. and Wood, Ian A. (2016). Mixtures of spatial spline regressions for clustering and classification. Computational Statistics and Data Analysis, 93, 76-85. doi: 10.1016/j.csda.2014.01.011 |
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2014 Journal Article Characterizing Uncertainty in High-Density Maps from Multiparental PopulationsAhfock, Daniel, Wood, Ian, Stephen, Stuart, Cavanagh, Colin R. and Huang, B. Emma (2014). Characterizing Uncertainty in High-Density Maps from Multiparental Populations. Genetics, 198 (1), 117-128. doi: 10.1534/genetics.114.167577 |
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2014 Journal Article Analysis of the genome and transcriptome of Cryptococcus neoformans var. grubii reveals complex RNA expression and microevolution leading to virulence attenuationJanbon, Guilhem, Ormerod, Kate L., Paulet, Damien, Byrnes III, Edmond J., Yadav, Vikas, Chatterjee, Gautam, Mullapudi, Nandita, Hon, Chung-Chau, Billmyre, R. Blake, Brunel, François, Bahn, Yong-Sun, Chen, Weidong, Chen, Yuan, Chow, Eve W. L., Coppée, Jean-Yves, Floyd-Averette, Anna, Gaillardin, Claude, Gerik, Kimberly J., Goldberg, Jonathan, Gonzalez-Hilarion, Sara, Gujja, Sharvari, Hamlin, Joyce L., Hsueh, Yen-Ping, Ianiri, Giuseppe, Jones, Steven, Kodira, Chinnappa D., Kozubowski, Lukasz, Lam, Woei, Marra, Marco ... Dietrich, Fred S. (2014). Analysis of the genome and transcriptome of Cryptococcus neoformans var. grubii reveals complex RNA expression and microevolution leading to virulence attenuation. PLoS Genetics, 10 (4) e1004261, e1004261.1-e1004261.26. doi: 10.1371/journal.pgen.1004261 |
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2014 Conference Publication The H99 family tree: variation in the common laboratory reference strains of Cryptococcus neoformans var. grubii characterised through whole-genome sequencingOrmerod, K. L., Byrnes, E. J., III, Wood, I. A., Lodge, J. K., Heitman, J. and Fraser, J. A. (2014). The H99 family tree: variation in the common laboratory reference strains of Cryptococcus neoformans var. grubii characterised through whole-genome sequencing. 9th International Conference on Cryptococcus and Cryptococcosis, Amsterdam, The Netherlands, 15-19 May 2014. Berlin, Germany: Wiley-Blackwell Verlag GmbH. doi: 10.1111/myc.12196 |
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2013 Journal Article Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoningGollapalli, Mohammed, Li, Xue and Wood, Ian (2013). Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning. Data and Knowledge Engineering, 87, 405-424. doi: 10.1016/j.datak.2013.05.005 |
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2012 Journal Article A robust permutation test for quantitative SILAC proteomics experimentsNguyen, Hien D., Wood, Ian and Hill, Michelle M. (2012). A robust permutation test for quantitative SILAC proteomics experiments. Journal of Integrated OMICS, 2 (2), 80-93. doi: 10.5584/jiomics.v2i2.109 |
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2012 Journal Article Microevolution of Cryptococcus neoformans driven by massive tandem gene amplificationChow, Eve W. L., Morrow, Carl A., Djordjevic, Julianne T., Wood, Ian A. and Fraser, James A. (2012). Microevolution of Cryptococcus neoformans driven by massive tandem gene amplification. Molecular Biology and Evolution, 29 (8), 1987-2000. doi: 10.1093/molbev/mss066 |
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2012 Conference Publication Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studiesNguyen, Hien D. and Wood, Ian A. (2012). Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studies. 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012), Brisbane Australia, 10-15 June 2012. Piscataway NJ, United States: I E E E. doi: 10.1109/CEC.2012.6256577 |
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2012 Journal Article TAM-EDA: multivariate t distribution, archive and mutation based estimation of distribution algorithmGao, Bo and Wood, Ian (2012). TAM-EDA: multivariate t distribution, archive and mutation based estimation of distribution algorithm. ANZIAM Journal, 54 (SUPPL), C720-C746. doi: 10.0000/anziamj.v54i0.6365 |
