% Bibliography file for papers in the SCENIC project % Reyko Schachtschneider, 2023 % reyko.schachtschneider@gfz-potsdam.de % % Journal name definitions % @string{acp="Athmos. Chem. Phys."} @string{aem="Acad. Emerg. Med."} @string{aje="Am. J. Epidemiol."} @string{anum="Acta Num."} @string{areps="Annu. Rev. Earth Planet. Sci."} @string{arsa="Annu. Rev. Stat. Appl."} @string{bs="Bayes. Stat."} @string{cc="Cogn. Comput."} @string{cccr="Curr. Clim. Ch. Rep."} @string{cce="Comput. Chem. Eng."} @string{ccpe="Concurr. Comp.-Pract. E."} @string{cd="Clim. Dyn."} @string{cp="Clim. Past"} @string{csr="Comp. Sc. Rev."} @string{dai="Dtsch. Arztebl. Int."} @string{ehj="Eur. Heart J."} @string{epsl="Earth Planet. Sc. Lett."} @string{erl="Environ. Res. Lett."} @string{esd="Earth Surf. Dynam."} @string{essd="Earth Syst. Sci. Data"} @string{gf="Geosc. Front."} @string{ggg="Geochem. Geophy. Geosy."} @string{gji="Geophys. J. Int."} @string{gjras="Geophys. J. Roy. Astr. S."} @string{gmd="Geosci. Model Dev."} @string{grl="Geophys. Res. Lett."} @string{i3eaesm="IEEE Aero. El. Sys. Mag."} @string{i3etvcg="IEEE T. Vis. Comput. Gr."} @string{i3etac="IEEE T. Automat. Contr."} @string{i3etsp="IEEE T. Signal Proces."} @string{i3espm="IEEE Signal Proc. Mag."} @string{i3etpami="IEEE T Pattern Anal."} @string{ieepf="IEE Proc. F"} @string{ijepi="Int. J. Epidemiol."} @string{ijhpca="Int. J. High Perf. Comp. Appl."} @string{imu="Inform. Med. Unlocked"} @string{isr="Int. Stat. Rev."} @string{james="J. Adv. Model. Earth Sy."} @string{jcgs="J. Comput. Graph. Stat."} @string{jg="J. Geod."} @string{jgdyn="J. Geodyn."} @string{jgr="J. Geophys. Res."} @string{jgra="J. Geophys. Res-Atmos."} @string{jgres="J. Geophys. Res-Earth"} @string{jgro="J. Geophys. Res-Oceans"} @string{jgrse="J. Geophys. Res-Sol. Ea."} @string{joc="J. Clim."} @string{moc="Math. Comput."} @string{mwr="Mon. Weather Rev."} @string{nc="Nat. Commun."} @string{ncp="Neural Comput."} @string{nejm="New Engl. J. Med."} @string{nh="Nat. Hazards"} @string{nhess="Nat. Hazard. Earth Sys."} @string{nm="Nat. Med."} @string{nn="Neural Networks"} @string{nsc="Nat. Comput. Sc."} @string{od="Ocean Dynam."} @string{pag="Pure Appl. Geophys."} @string{pepi="Phys. Earth Planet. In."} @string{qjrms="Q. J. Roy. Meteor. Soc."} @string{qsr="Quat. Sc. Rev."} @string{rec="Reg. Environ. Change"} @string{reep="Rev. Env. Econ. Policy"} @string{rg="Rev. Geophys."} @string{sc="Stat. Comp."} @string{screp="Sci. Rep-UK"} @string{scs="Sustain. Cities Soc."} @string{se="Solid Earth"} @string{sg="Surv. Geophys."} @string{sjsc="SIAM J. Sci. Comput."} @string{sjna="SIAM J. Numer. Anal."} @string{sr="SIAM Rev."} @string{srep="Sci. Rep."} @string{ssr="Space Sci. Rev."} @string{tc="Cryosphere"} @string{tsp="IEEE Trans. sig. proc."} @string{wcc="WIRES Clim. Change"} @string{wrr="Water Resour. Res."} @article{Auffhammer2013using, title = {Using weather data and climate model output in economic analyses of climate change}, author = {Auffhammer, M. and Hsiang, S.M. and Schlenker, W. and Sobel, A.}, journal = reep, year = {2013}, volume = {7}, number = {2}, pages = {181--198}, publisher = {The University of Chicago Press}, doi = {10.1093/reep/ret016} } @inproceedings{Azzuri2022explainable, title = {Explainable {AI} {P}rediction of {C}ooking {O}il {P}rices {O}ver {T}ime}, author = {Azzuri, F. and Darfiansa, L.S. and Grananta, R.S. and Permatasari, A. and Yudistira, N.}, booktitle = {7th International Conference on Sustainable Information Engineering and Technology 2022}, pages = {47--56}, year = {2022}, doi = {10.1145/3568231.3568240} } @article{Chen2017machine, title = {Machine learning and prediction in medicine—beyond the peak of inflated expectations}, author = {Chen, J.H. and Asch, S.M.}, journal = nejm, volume = {376}, number = {26}, pages = {2507}, year = {2017}, publisher = {NIH Public Access}, doi = {10.1056/NEJMp1702071} } @proceedings{Cohen2018spherical, author = {Cohen, T.S. and Geiger, M. and K{\"o}hler, J. and Welling, M.}, title = {Spherical {CNNs}}, year = {2018}, series = {Sixth International Conference on Learning Representations}, note = {arXiv preprint arXiv:1801.10130}, } @article{DeBono2004Impacts, title = {Impacts of summer 2003 heat wave in Europe}, author = {De Bono, A. and Peduzzi, P. and Kluser, S. and Giuliani, G.}, journal = {Environment Alert Bulletin}, volume = {2}, pages = {4}, year = {2004} } @article{Deo2015machine, title = {Machine learning in medicine}, author = {Deo, R.C.}, journal = {Circulation}, volume = {132}, number = {20}, pages = {1920--1930}, year = {2015}, publisher = {Am Heart Assoc}, doi = {10.1161/CIRCULATIONAHA.115.001593} } @incollection{Doya2003recurrent, title = {Recurrent networks: learning algorithms}, booktitle = {The Handbook of Brain Theory and Neural Networks, 2nd ed.}, author = {Doya, Kenji}, editor = {Arib, M.A.}, year = {2003}, publisher = {MIT Press}, address = {Cambridge, Massachusetts} } @article{Esteva2017dermatologist, title = {Dermatologist-level classification of skin cancer with deep neural networks}, author = {Esteva, A. and Kuprel, B. and Novoa, R.A. and Ko, J. and Swetter, S.M. and Blau, H.M. and Thrun, S.}, journal = {Nature}, volume = {542}, number = {7639}, pages = {115--118}, year = {2017}, publisher = {Nature Publishing Group}, doi = {10.1038/nature21056} } @article{Fouillet2008has, title = {Has the impact of heat waves on mortality changed in France since the European heat wave of summer 2003? A study of the 2006 heat wave}, author = {Fouillet, A. and Rey, G. and Wagner, V. and Laaidi, K. and Empereur-Bissonnet, P. and Le Tertre, A. and Frayssinet, P. and Bessemoulin, P. and Laurent, F. and De Crouy-Chanel, P. and others}, journal = ijepi, volume = {37}, number = {2}, pages = {309--317}, year = {2008}, publisher = {Oxford University Press}, doi = {10.1093/ije/dym253} } @article{Gao2020machine, title = {Machine learning based early warning system enables accurate mortality risk prediction for {COVID}-19}, author = {Gao, Y. and Cai, G.-Y. and Fang, W. and Li, H.-Y. and Wang, S.-Y. and Chen, L. and Yu, Y. and Liu, D. and Xu, S. and Cui, P.-F. and others}, journal = nc, volume = {11}, number = {1}, pages = {5033}, year = {2020}, publisher = {Nature Publishing Group UK London}, doi = {10.1038/s41467-020-18684-2} } @article{Grossberg2013recurrent, title = {Recurrent neural networks}, author = {Grossberg, S.}, journal = {Scholarpedia}, volume = {8}, number = {2}, pages = {1888}, year = {2013}, note = {last access: 2023-01-25} } @article{Hajat2023current, title = {Current and future trends in heat-related mortality in the MENA region: a health impact assessment with bias-adjusted statistically downscaled {CMIP}6 ({SSP}-based) data and {B}ayesian inference}, author = {Hajat, Shakoor and Proestos, Yiannis and Araya-Lopez, Jose-Luis and Economou, Theo and Lelieveld, Jos}, journal = {The Lancet Planetary Health}, volume = {7}, number = {4}, pages = {e282--e290}, year = {2023}, publisher = {Elsevier}, doi = {10.1016/S2542-5196(23)00045-1} } @article{Hirano2021machine, title = {Machine learning-based mortality prediction model for heat-related illness}, author = {Hirano, Y. and Kondo, Y. and Hifumi, T. and Yokobori, S. and Kanda, J. and Shimazaki, J. and Hayashida, K. and Moriya, T. and Yagi, M. and Takauji, S. and others}, journal = screp, volume = {11}, number = {1}, pages = {9501}, year = {2021}, publisher = {Nature Publishing Group UK London}, doi = {10.1038/s41598-021-88581-1} } @article{Huang2011projecting, title = {Projecting future heat-related mortality under climate change scenarios: a systematic review}, author = {Huang, Cunrui and Barnett, Adrian Gerard and Wang, Xiaoming and Vaneckova, Pavla and FitzGerald, Gerard and Tong, Shilu}, journal = {Environmental health perspectives}, volume = {119}, number = {12}, pages = {1681--1690}, year = {2011}, publisher = {National Institute of Environmental Health Sciences}, doi = {10.1289/ehp.1103456} } @article{Irrgang2020self, author = {Irrgang, C. and Saynisch-Wagner, J. and Dill, R. and Boergens, E. and Thomas, M.}, title = {{Self-Validating Deep Learning for Recovering Terrestrial Water Storage From Gravity and Altimetry Measurements}}, year = {2020}, journal = grl, volume = {47}, number = {17}, pages = {e2020GL089258}, publisher = {Wiley Online Library}, doi = {10.1029/2020GL089258} } @techreport{Jaeger2001echo, author = {Jaeger, H.}, title = {The “echo state” approach to analysing and training recurrent neural networks-with an erratum note}, institution = {German National Research Center for Information Technology GMD}, volume = {148}, number = {34}, pages = {13}, year = {2001}, address = {Bonn, Germany} } @article{Jaeger2002tutorial, title = {Tutorial on training recurrent neural networks, covering {BPPT}, {RTRL}, {EKF} and the" echo state network" approach}, author = {Jaeger, H.}, year = {2002}, publisher = {German National Research Center for Information Technology}, address = {Bonn}, note = {GMD Report 159} } @article{Kim2022explainable, title = {Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models}, author = {Kim, Y. and Kim, Y.}, journal = scs, volume = {79}, pages = {103677}, year = {2022}, publisher = {Elsevier}, doi = {10.1016/j.scs.2022.103677} } @article{Kim2016projection, title = {Projection of heat wave mortality related to climate change in Korea}, author = {Kim, D.-W. and Deo, R.C. and Chung, J.-H. and Lee, J.-S.}, journal = nh, volume = {80}, pages = {623--637}, year = {2016}, publisher = {Springer}, doi = {10.1007/s11069-015-1987-0} } @article{Kovats2008heat, title = {Heat stress and public health: a critical review}, author = {Kovats, R Sari and Hajat, Shakoor}, journal = {Annu. Rev. Public Health}, volume = {29}, pages = {41--55}, year = {2008}, publisher = {Annual Reviews}, doi = {10.1146/annurev.publhealth.29.020907.090843} } @article{Lee2018machine, title = {Machine learning: {O}verview of the recent progresses and implications for the process systems engineering field}, author = {Lee, Jay H and Shin, Joohyun and Realff, Matthew J}, journal = cce, volume = {114}, pages = {111--121}, year = {2018}, publisher = {Elsevier} } @incollection{Lee2023heat, title = {Heat exposure and mental health in the context of climate change}, author = {Lee, H. and Kim, H. and Pehlivan, N.}, booktitle = {Heat Exposure and Human Health in the Context of Climate Change}, pages = {155--187}, year = {2023}, publisher = {Elsevier}, doi = {10.1016/B978-0-12-819080-7.00008-2} } @article{Lokse2017training, title = {Training echo state networks with regularization through dimensionality reduction}, author = {L{\o}kse, Sigurd and Bianchi, Filippo Maria and Jenssen, Robert}, journal = cc, volume = {9}, pages = {364--378}, year = {2017}, publisher = {Springer}, doi = {10.1007/s12559-017-9450-z} } @article{Lukovsevivcius2009reservoir, title = {Reservoir computing approaches to recurrent neural network training}, author = {Luko{\v{s}}evi{\v{c}}ius, M. and Jaeger, H.}, journal = csr, volume = {3}, number = {3}, pages = {127--149}, year = {2009}, publisher = {Elsevier}, doi = {10.1016/j.cosrev.2009.03.005} } @inproceedings{Lukosevicius2019efficient, title = {Efficient cross-validation of echo state networks}, author = {Luko\v{s}evi\v{c}ius, M. and Uselis, A.}, doi = {10.1007/978-3-030-30493-5_12}, isbn = {978-3-030-30493-5}, year = {2019}, date = {2019-09-09}, booktitle = {Artificial Neural Networks and Machine Learning \textendash ICANN 2019: Workshop and Special Sessions. ICANN 2019.}, volume = {11731}, pages = {121-133}, publisher = {Springer, Cham}, series = {Lecture Notes in Computer Science}, keywords = {Reservoir computing}, pubstate = {published}, tppubtype = {inproceedings} } @incollection{Lukovsevicius2012practical, author = {Luko{\v{s}}evi{\v{c}}ius, M.}, title = {A practical guide to applying echo state networks}, booktitle = {Neural networks: Tricks of the trade}, pages = {659--686}, year = {2012}, publisher = {Springer}, doi = {10.1007/978-3-642-35289-8_36} } @article{Maass2002real, author = {Maass, W. and Natschläger, T. and Markram, H.}, title = {{Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations}}, year = {2002}, journal = ncp, volume = {14}, number = {11}, pages = {2531-2560}, doi = {10.1162/089976602760407955} } @article{Mangold2021machine, title = {Machine learning models for predicting neonatal mortality: a systematic review}, author = {Mangold, C. and Zoretic, S. and Thallapureddy, K. and Moreira, A. and Chorath, K. and Moreira, A.}, journal = {Neonatology}, volume = {118}, number = {4}, pages = {394--405}, year = {2021}, publisher = {Karger Publishers}, doi = {10.1159/000516891} } @article{Marien2022machine, title = {Machine learning models to predict myocardial infarctions from past climatic and environmental conditions}, author = {Marien, L. and Valizadeh, M. and {Zu Castell}, W. and Nam, C. and Rechid, D. and Schneider, A. and Meisinger, C. and Linseisen, J. and Wolf, K. and Bouwer, L.M.}, journal = nhess, volume = {22}, number = {9}, pages = {3015--3039}, year = {2022}, publisher = {Copernicus GmbH}, doi = {10.5194/nhess-22-3015-2022} } @Article{May2021eight, title = {Eight ways machine learning is assisting medicine}, author = {May, M.}, journal = nm, volume = {27}, number = {1}, pages = {2--3}, year = {2021}, doi = {10.1038/s41591-020-01197-2} } @article{McGeehin2001potential, title = {The potential impacts of climate variability and change on temperature-related morbidity and mortality in the {U}nited {S}tates.}, author = {McGeehin, Michael A and Mirabelli, Maria}, journal = {Environmental health perspectives}, volume = {109}, number = {suppl 2}, pages = {185--189}, year = {2001}, doi = {10.1289/ehp.109-1240665} } @book{Medsker2001recurrent, title = {Recurrent {N}eural {N}etworks -- {D}esign and {A}pplications}, editor = {Medsker, L.R. and Jain, L.C.}, year = {2001}, publisher = {CRC Press}, journal = {}, volume = {5}, pages = {64--67} } @article{Mistry2022comparison, title = {Comparison of weather station and climate reanalysis data for modelling temperature-related mortality}, author = {Mistry, M.N. and Schneider, R. and Masselot, P. and Roy{\'e}, D. and Armstrong, B. and Kysel{\`y}, J. and Orru, H. and Sera, F. and Tong, S. and Lavigne, {\'E}. and others}, journal = srep, volume = {12}, number = {1}, pages = {5178}, year = {2022}, publisher = {Nature Publishing Group}, address = {UK London}, doi = {10.1038/s41598-022-09049-4} } @article{Moll2020machine, title = {Machine learning and prediction of all-cause mortality in {COPD}}, author = {Moll, M. and Qiao, D. and Regan, E.A. and Hunninghake, G.M. and Make, B.J. and Tal-Singer, R. and McGeachie, M.J. and Castaldi, P.J. and Estepar, R.S.J. and Washko, G.R. and others}, journal = {Chest}, volume = {158}, number = {3}, pages = {952--964}, year = {2020}, publisher = {Elsevier}, doi = {10.1016/j.chest.2020.02.079} } @article{Motwani2017machine, title = {Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis}, author = {Motwani, M and Dey, D. and Berman, D.S. and Germano, G. and Achenbach, S. and Al-Mallah, M.H. and Andreini, D. and Budoff, M.J. and Cademartiri, F. and Callister, T.Q. and others}, journal = ehj, volume = {38}, number = {7}, pages = {500--507}, year = {2017}, publisher = {Oxford University Press}, doi = {10.1093/eurheartj/ehw188} } @article{Nkiruka2021prediction, title = {Prediction of malaria incidence using climate variability and machine learning}, author = {Nkiruka, O. and Prasad, R. and Clement, O.}, journal = imu, volume = {22}, pages = {100508}, year = {2021}, publisher = {Elsevier}, doi = {10.1016/j.imu.2020.100508} } @article{Rajkomar2019machine, title = {Machine learning in medicine}, author = {Rajkomar, A. and Dean, J. and Kohane, I.}, journal = nejm, volume = {380}, number = {14}, pages = {1347--1358}, year = {2019}, publisher = {Mass Medical Soc}, doi = {10.1056/NEJMra1814259} } @misc{regionalstatistik, author = {{Statistische \"Amter des Bundes und der L\"ander}}, year = {2022}, note = {https://www.regionalstatistik.de, last access 2022-03-15}, date = {2022-03-15} } @article{Rose2013mortality, title = {Mortality risk score prediction in an elderly population using machine learning}, author = {Rose, S.}, journal = aje, volume = {177}, number = {5}, pages = {443--452}, year = {2013}, publisher = {Oxford University Press}, doi = {10.1093/aje/kws241} } @incollection{Rumelhart1986learning1, title = {Learning {I}nternal {R}epresentations by {B}ackpropagating {E}rrors}, author = {Rumelhart, D.E. and Hinton, G.E. and Williams, R.J.}, booktitle = {Parallel distributed processing: Explorations in the Mikrostructure of Cognition, Vol. 1: Foundations}, editor = {D.E. Rumelhart and J.L. McClelland and {PDP Research Group}}, pages = {533--536}, year = {1986}, Publisher = {MIT Press / Bradford Books}, address = {Cambridge} } @article{Rumelhart1986learning2, author = {Rumelhart, D.E. and Hinton, G.E. and Williams, R.J.}, title = {Learning representations by back-propagating errors}, journal = {Nature}, volume = {323}, pages = {533--536}, year = {1986}, publisher = {Nature Publishing Group UK London}, doi = {10.1038/323533a0} } @incollection{rumelhart1995backpropagation, author = {Rumelhart, D.E. and Durbin, R. and Golden, R. and Chauvin, Y.}, title = {Backpropagation: {T}he basic theory}, booktitle = {Backpropagation: Theory, architectures and applications}, pages = {1--34}, year = {1995}, publisher = {Lawrence Erlbaum Hillsdale, NJ, USA} } @article{Sanchez-Benitez2022thejuly, author = {S{\'a}nchez-Benítez, A. and G{\"o}{\ss}ling, H. and Pithan, F. and Semmler, T. and Jung, T.}, title = {{The July 2019 European Heat Wave in a Warmer Climate: Storyline Scenarios with a Coupled Model Using Spectral Nudging}}, year = {2022}, journal = joc, volume = {35}, number = {8}, pages = {2373–-2390}, publisher = {American Meteorological Society}, address = {Boston MA, USA}, doi = {10.1175/JCLI-D-21-0573.1}, } @misc{Sanchez-Benitez2023global, author = {S{\'a}nchez-Benítez, A. and G{\"o}{\ss}ling, H. and Pithan, F. and Semmler, T. and Jung, T.}, title = {Global hourly t2m storyline data in the 2015-2019 (2017-2019) period in the present (2 and 4 K warmer climates)}, year = {2023}, note = {Data set}, doi = {10.5281/zenodo.8014199} } @misc{Schachtschneider2023data, author = {Schachtschneider, R.}, title = {A temperature data set for training an echo state network in a mortality prediction study}, year = {2023} doi = {\dots}, note = {URL and/or DOI will be provided at time of publication} } @article{Schmidhuber2015deep, title = {Deep learning in neural networks: {A}n overview}, author = {Schmidhuber, J.}, journal = nn, volume = {61}, pages = {85--117}, year = {2015}, publisher = {Elsevier}, doi = {10.1016/j.neunet.2014.09.003} } @article{Sidorenko2015towards, title = {Towards multi-resolution global climate modeling with ECHAM6--FESOM. Part I: model formulation and mean climate}, author = {Sidorenko, D. and Rackow, T. and Jung, T. and Semmler, T. and Barbi, D. and Danilov, S. and Dethloff, K. and Dorn, W. and Fieg, K. and G{\"o}{\ss}ling, H.F. and others}, journal = cd, volume = {44}, pages = {757--780}, year = {2015}, publisher = {Springer}, doi = {10.1007/s00382-014-2290-6} } @article{Taylor2016prediction, title = {Prediction of in-hospital mortality in emergency department patients with sepsis: a local big data--driven, machine learning approach}, author = {Taylor, R.A. and Pare, J.R. and Venkatesh, A.K. and Mowafi, H. and Melnick, E.R. and Fleischman, W. and Hall, M.K.}, journal = aem, volume = {23}, number = {3}, pages = {269--278}, year = {2016}, publisher = {Wiley Online Library}, doi = {10.1111/acem.12876} } @article{Than2019machine, title = {Machine learning to predict the likelihood of acute myocardial infarction}, author = {Than, M.P. and Pickering, J.W. and Sandoval, Y. and Shah, A.S.V. and Tsanas, A. and Apple, F.S. and Blankenberg, S. and Cullen, L. and Mueller, C. and Neumann, J.T. and others}, journal = {Circulation}, volume = {140}, number = {11}, pages = {899--909}, year = {2019}, publisher = {Am Heart Assoc}, doi = {10.1161/CIRCULATIONAHA.119.041980} } @book{Tyagi2022recurrent, title = {Recurrent Neural Networks: Concepts and Applications}, editor = {Tyagi, A.K. and Abraham, A.}, year = {2022}, publisher = {CRC Press} } @article{Watts2019the2019, title = {The 2019 report of The Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate}, author = {Watts, N. and Amann, M. and Arnell, N. and Ayeb-Karlsson, S. and Belesova, K. and Boykoff, M. and Byass, P. and Cai, W. and Campbell-Lendrum, D. and Capstick, S. and others}, journal = {The Lancet}, volume = {394}, number = {10211}, pages = {1836--1878}, year = {2019}, publisher = {Elsevier}, doi = {10.1016/S0140-6736(19)32596-6} } @article{Williams1989learning, title = {A learning algorithm for continually running fully recurrent neural networks}, author = {Williams, R.J. and Zipser, D.}, journal = ncp, volume = {1}, number = {2}, pages = {270--280}, year = {1989}, publisher = {MIT Press}, address = {Cambridge} } @article{Winklmayr2022heat, title = {Heat-related mortality in {G}ermany from 1992 to 2021}, author = {Winklmayr, C. and Muthers, S. and Niemann, H. and M{\"u}cke, H.-G. and an der Heiden, M.}, journal = dai, volume = {119}, number = {26}, pages = {451}, year = {2022}, publisher = {Deutscher Arzte-Verlag GmbH}, doi = {10.3238/arztebl.m2022.0202} }