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Showing results 21 to 40 of 207 < previous next >

Issue Date	Title	Involved Person(s)
8-Feb-2018	Aneurysm shape as a diagnostic tool : a machine learning approach	Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al
2013	Annotation and classification of changes of involvement in group conversation	Böck, Ronald; Glüge, Stefan; Siegert, Ingo; Wendemuth, Andreas
2014	Antibody-specific model of amino acid substitution for immunological inferences from alignments of antibody sequences	Mirsky, Alexander; Anisimova, Maria; Kazandjian, Linda
2018	Applied deep learning : a case-based approach to understanding deep neural networks	Michelucci, Umberto
2016	As a stone thrown in a still pond : predicting human influenza epidemiological dynamics after 2009 A/pH1N1 pandemic explosion	Osterhaus, Albert D M E; Schutten, Martin; Van der Vries, Erhard; Zhang, Jitao David; Boucher, Charles A, et al
2007	Automatische Anlagenkonfiguration im Simulator	Burkhard, Marcel; Lötscher, Adrian
2017	Bayesian framework for mobility pattern discovery using mobile network events	Danafar, Somayeh; Piorkowski, Michal; Kryszczuk, Krzysztof
2019	Bayesian inference for solar dynamo models	Ulzega, Simone; Albert, Carlo
2019	Bayesian inference methods for the calibration of stochastic dynamo models	Ulzega, Simone; Albert, Carlo
12-Jun-2018	Bayesian parameter inference with stochastic solar dynamo models	Ulzega, Simone; Albert, Carlo
2019	Bayesian parameter inference with stochastic solar dynamo models	Ulzega, Simone; Albert, Carlo
2015	Bessere Absatzprognosen : eine Frage der Faktoren	Dorndorf, Ulrich; Kauf, Peter; Ott, Thomas
30-Aug-2017	Big Data : machine learning to identify shape biomarkers in intracranial aneurysm	Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel
2015	Big Data und Produktionssteuerung in der Lebensmittel-Industrie	Ott, Thomas
2014	Bioinformatique et génomique	Anisimova, Maria
Dec-2017	Biomarker für Demenzkrankheiten	Vorburger, Robert
2016	Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation	Albert, Carlo; Ulzega, Simone; Stoop, Ruedi
31-Aug-2017	Boosting Bayesian parameter inference of stochastic differential equation models	Ulzega, Simone
11-Apr-2017	Boosting parameter inference with stochastic models using molecular dynamics and high-performance computing	Ulzega, Simone
1-Jan-2018	Calibrating stochastic models for understanding solar activity	Ulzega, Simone

Showing results 21 to 40 of 207 < previous next >