@inproceedings{duncan13__rapid_,
 title        = {RAPIDS},
 subtitle     = {Early Warning System for Urban Flooding and Water Quality Hazards},
 author       = {Duncan, Andrew and Chen, Albert and Keedwell, Edward and Djordjević, Slobodan and Savić, Dragan},
 year         = {2013},
 tags         = {},
 pages        = {25-30},
 crossref     = {savic13:_proceed_aisb_sympos_machin_learn_},
}

@inproceedings{mounce13_,
 title        = {A comparative study of artificial neural network architectures for time series prediction of water distribution system flow data},
 year         = {2013},
 tags         = {},
 Author       = {Stephen Mounce},
 pages        = {5-13},
 crossref     = {savic13:_proceed_aisb_sympos_machin_learn_},
}

@inproceedings{pakgohar13__dynam_integ_projec_portf_plann_,
 title        = {Dynamically Integrated Project Portfolio Planning to Accommodate Asset Management Plan Cycles in the UK Water Industry},
 author       = {Pakgohar, Alireza and Zhang, David Z. and Ward, Sarah},
 year         = {2013},
 tags         = {},
 pages        = {30-35},
 crossref     = {savic13:_proceed_aisb_sympos_machin_learn_},
}

@inproceedings{remesan13__rare_,
 title        = {Rare events and extreme flood predictions},
 subtitle     = {An Application of Monte Carlo based Statistical Blockade},
 author       = {Remesan, Renji and Mathew, Jimson and Holman, Ian},
 year         = {2013},
 tags         = {},
 pages        = {13-20},
 crossref     = {savic13:_proceed_aisb_sympos_machin_learn_},
}

@proceedings{savic13:_proceed_aisb_sympos_machin_learn_,
 title        = {Proceedings of the AISB 2013 Symposium on Machine Learning In Water Systems},
 editor       = {Savić, Dragan},
 year         = {2013},
 tags         = {},
 address      = {University of Exeter, UK},
 pdf_locked   = {False},
 isbn         = {978-1-908187-33-8},
 url          = {https://aisb.org.uk/wp-content/uploads/2019/09/aisb2013.zip},
 url2         = {https://web.archive.org/web/20190115201026/http://www.aisb.org.uk/convention/aisb13},
 file         = {/media/john/data/todo/pdfs/proceedings/aisb/aisb_13/S06.pdf},
}

@inproceedings{skerjanec13__model_,
 title        = {Modelling dynamic systems using a hybrid approach},
 author       = {Skerjanec, Mateja and Cerepnalkoski, Darko and Dzeroski, Saso and Kompare, Boris and Atanasova, Natasa},
 year         = {2013},
 tags         = {},
 pages        = {35-38},
 crossref     = {savic13:_proceed_aisb_sympos_machin_learn_},
}

@inproceedings{swan13__optim_water_treat_works_static_,
 title        = {Optimisation of Water Treatment Works using Static and Dynamic Models with an NSGAII Genetic Algorithm},
 author       = {Swan, Roger and Bridgeman, John and Sterling, Mark},
 year         = {2013},
 tags         = {},
 pages        = {20-25},
 crossref     = {savic13:_proceed_aisb_sympos_machin_learn_},
}