Browsing by Organisational Unit Institut für Angewandte Simulation (IAS)

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Showing results 21 to 40 of 207 < previous   next >
Issue DateTitleInvolved Person(s)
8-Feb-2018Aneurysm shape as a diagnostic tool : a machine learning approachJuchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al
2013Annotation and classification of changes of involvement in group conversationBöck, Ronald; Glüge, Stefan; Siegert, Ingo; Wendemuth, Andreas
2014Antibody-specific model of amino acid substitution for immunological inferences from alignments of antibody sequencesMirsky, Alexander; Anisimova, Maria; Kazandjian, Linda
2018Applied deep learning : a case-based approach to understanding deep neural networksMichelucci, Umberto
2016As a stone thrown in a still pond : predicting human influenza epidemiological dynamics after 2009 A/pH1N1 pandemic explosionOsterhaus, Albert D M E; Schutten, Martin; Van der Vries, Erhard; Zhang, Jitao David; Boucher, Charles A, et al
2007Automatische Anlagenkonfiguration im SimulatorBurkhard, Marcel; Lötscher, Adrian
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
12-Jun-2018Bayesian parameter inference with stochastic solar dynamo modelsUlzega, Simone; Albert, Carlo
2019Bayesian parameter inference with stochastic solar dynamo modelsUlzega, Simone; Albert, Carlo
2015Bessere Absatzprognosen : eine Frage der FaktorenDorndorf, Ulrich; Kauf, Peter; Ott, Thomas
30-Aug-2017Big Data : machine learning to identify shape biomarkers in intracranial aneurysmHirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel
2015Big Data und Produktionssteuerung in der Lebensmittel-IndustrieOtt, Thomas
2014Bioinformatique et génomiqueAnisimova, Maria
Dec-2017Biomarker für DemenzkrankheitenVorburger, Robert
2016Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separationAlbert, Carlo; Ulzega, Simone; Stoop, Ruedi
31-Aug-2017Boosting Bayesian parameter inference of stochastic differential equation modelsUlzega, Simone
11-Apr-2017Boosting parameter inference with stochastic models using molecular dynamics and high-performance computingUlzega, Simone
1-Jan-2018Calibrating stochastic models for understanding solar activityUlzega, Simone