Julia Piantadosi
Julia Piantadosi
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Cited by
Rescuing food from the organics waste stream to feed the food insecure: an economic and environmental assessment of Australian food rescue operations using environmentally …
CJ Reynolds, J Piantadosi, J Boland
Sustainability 7 (4), 4707-4726, 2015
Situated analytics: Demonstrating immersive analytical tools with augmented reality
NAM ElSayed, BH Thomas, K Marriott, J Piantadosi, RT Smith
Journal of Visual Languages & Computing 36, 13-23, 2016
Situated analytics
N ElSayed, B Thomas, K Marriott, J Piantadosi, R Smith
2015 Big Data Visual Analytics (BDVA), 1-8, 2015
The Mekong—applications of value at risk (VaR) and conditional value at risk (CVaR) simulation to the benefits, costs and consequences of water resources development in a …
RB Webby, PT Adamson, J Boland, PG Howlett, AV Metcalfe, J Piantadosi
Ecological Modelling 201 (1), 89-96, 2007
Estimating informal household food waste in developed countries: The case of Australia
CJ Reynolds, V Mavrakis, S Davison, SB Høj, E Vlaholias, A Sharp, ...
Waste management & research 32 (12), 1254-1258, 2014
Evaluation of the environmental impact of weekly food consumption in different socio-economic households in Australia using environmentally extended input–output analysis
CJ Reynolds, J Piantadosi, JD Buckley, P Weinstein, J Boland
Ecological Economics 111, 58-64, 2015
Matching the grade correlation coefficient using a copula with maximum disorder
J Piantadosi, P Howlett, J Boland
Journal of Industrial and Management Optimization 3 (2), 305-312, 2007
Estimating industrial solid waste and municipal solid waste data at high resolution using economic accounts: an input–output approach with Australian case study
C Reynolds, A Geschke, J Piantadosi, J Boland
Journal of Material Cycles and Waste Management 18, 677-686, 2016
Stochastic dynamic programming (SDP) with a conditional value-at-risk (CVaR) criterion for management of storm-water
J Piantadosi, AV Metcalfe, PG Howlett
Journal of Hydrology 348 (3-4), 320-329, 2008
Using augmented reality to support situated analytics
NAM Elsayed, BH Thomas, RT Smith, K Marriott, J Piantadosi
2015 IEEE Virtual Reality (VR), 175-176, 2015
Generating synthetic rainfall on various timescales—daily, monthly and yearly
J Piantadosi, J Boland, P Howlett
Environmental Modeling & Assessment 14, 431-438, 2009
Copulas with maximum entropy
J Piantadosi, P Howlett, J Borwein
Optimization Letters 6, 99-125, 2012
Understanding South Australian rainfall trends and step changes.
RK Chowdhury, S Beecham, J Boland, J Piantadosi
International Journal of Climatology 35 (3), 2015
A waste supply-use analysis of Australian waste flows
CJ Reynolds, J Piantadosi, J Boland
Journal of Economic Structures 3, 1-16, 2014
Maximum entropy methods for generating simulated rainfall
J Piantadosi, PG Howlett, J Borwein, J Henstridge
American Institute of Mathematical Sciences 2, 233-256, 2012
Situated analytics. In 2015 Big Data Visual Analytics (BDVA)
N ElSayed, B Thomas, K Marriott, J Piantadosi, R Smith
IEEE, 1ś8. https://doi. org/10.1109/BDVA, 2015
Use of real‐time telemedicine in the detection of diabetic macular oedema: a pilot study
J Peter, J Piantadosi, C Piantadosi, P Cooper, N Gehling, C Kaufmann, ...
Clinical & Experimental Ophthalmology 34 (4), 312-316, 2006
Modelling and simulation of seasonal rainfall using the principle of maximum entropy
J Borwein, P Howlett, J Piantadosi
Entropy 16 (2), 747-769, 2014
Using the skew-t copula to model bivariate rainfall distribution
R Zakaria, A Metcalfe, J Piantadosi, J Boland, P Howlett
ANZIAM Journal 51, C231-C246, 2009
Simulation of rainfall totals on various time scales–daily, monthly and yearly
J Piantadosi, JW Boland, PG Howlett
Environmental Modeling and Assessment 14 (4), 431-438, 2009
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