Browsing by Subject (DDC) 003: Systeme

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Showing results 1 to 20 of 113  next >
Issue DateTitleInvolved Person(s)
2017A data-driven approach to predict NOx-emissions of gas turbinesCuccu, Giuseppe; Danafar, Somayeh; Cudré-Mauroux, Philippe; Gassner, Martin; Bernero, Stefano, et al
Jun-2018A dynamic network approach for the analysis of pathogen transmission chainsOtt, Thomas; Glüge, Stefan; Schüle, Martin; Hill, Christopher
Jun-2017A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation modelsUlzega, Simone
10-Jan-2018A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation modelsUlzega, Simone
2012A minimal artificial subcellular matrixHadorn, Maik; Gil, Benny; Svaneborg, Carsten; Hanczyc, Martin M.; Fellermann, Harold, et al
2013A new measure for party coherence : applying a physics-based concept to the Swiss party systemChristen, Markus; Ott, Thomas; Schwarz, Daniel
2022A time domain approach for system identification using hill climbingBüchi, Roland
2017Adapting CAST for security incident analysisFrischknecht-Gruber, Carmen; Marti, Mario; Krauss, Sven Stefan
2017Antizipieren von steuerlichen Einkommensentwicklungen oder blinde Achterbahnfahrt? : Überblick über die steuerlichen Einnahmeschätzungsmethoden und deren empirischen Anwendungsmöglichkeiten im Kanton ZürichYerly, Nadia; Dombrowski, Nicolas von
21-Jan-2023Artificial Life and Evolutionary Computation : 15th Italian Workshop, WIVACE 2021, Winterthur, Switzerland, September 15–17, 2021Schneider, Johannes Josef; Weyland, Mathias Sebastian; Flumini, Dandolo; Füchslin, Rudolf Marcel
2016Assessing the functions and dimensions of visualizations in foresightMüller, Adrian W.; Shwarz, Jan Oliver
2013Assessing the functions and dimensions of visualizations in foresightMüller, Adrian W.; Schwarz, Jan Oliver
2017Bayesian framework for mobility pattern discovery using mobile network eventsDanafar, Somayeh; Piorkowski, Michal; Kryszczuk, Krzysztof
2019Bayesian inference for solar dynamo modelsUlzega, Simone; Albert, Carlo
2019Bayesian inference methods for the calibration of stochastic dynamo modelsUlzega, Simone; Albert, Carlo
2022Bayesian network analysis for data-driven decision supportSpinner, Georg; Gerber, Nicole
20-Jun-2022Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factorsDelucchi, Matteo; Spinner, Georg; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al
2022Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factorsDelucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al
2019Bayesian parameter inference with stochastic solar dynamo modelsUlzega, Simone; Albert, Carlo
12-Jun-2018Bayesian parameter inference with stochastic solar dynamo modelsUlzega, Simone; Albert, Carlo