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Showing results 11 to 28 of 28
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Issue Date
Title
Involved Person(s)
2015
Gene expression signatures predictive of bevacizumab/erlotinib therapeutic benefit in advanced nonsquamous non-small cell lung cancer patients (SAKK 19/05 trial)
Franzini, Anca
;
Baty, Florent
;
Macovei, Ina I.
;
Dürr, Oliver
;
Droege, Cornelia
, et al
2007
Glassy and polymeric ionic conductors : statistical modeling and Monte Carlo simulations
Dürr, Oliver
;
Dietrich, Wolfgang
2014
JOINT_FORCES : unite competing sentiment classifiers with random forest
Dürr, Oliver
;
Uzdilli, Fatih
;
Cieliebak, Mark
2017
Learning embeddings for speaker clustering based on voice equality
Lukic, Yanick X.
;
Vogt, Carlo
;
Dürr, Oliver
;
Stadelmann, Thilo
2018
Learning neural models for end-to-end clustering
Meier, Benjamin Bruno
;
Elezi, Ismail
;
Amirian, Mohammadreza
;
Dürr, Oliver
;
Stadelmann, Thilo
11-Jun-2001
Melt viscosities of lattice polymers using a Kramers potential treatment
Dürr, Oliver
;
Frisch, Harry
;
Dieterich, Wolfgang
2014
Meta-classifiers easily improve commercial sentiment detection tools
Cieliebak, Mark
;
Dürr, Oliver
;
Uzdilli, Fatih
1998
Model studies of diffusion in glassy and polymer ion conductors
Dürr, Oliver
;
Pendzig, Peter
;
Dieterich, Wolfgang
;
Nitzan, Abraham
12-Sep-2006
Multivariate analysis of siRNA / high content screening data
Dürr, Oliver
1999
Percolation concepts in solid state ionics
Dieterich, Wolfgang
;
Dürr, Oliver
;
Pendzig, Peter
;
Bunde, Armin
;
Nitzan, Abraham
2013
Potential and limitations of commercial sentiment detection tools
Cieliebak, Mark
;
Dürr, Oliver
;
Uzdilli, Fatih
2005
Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data
Heyse, Stephan
;
Brodte, Annette
;
Bruttger, Oliver
;
Dürr, Oliver
;
Freeman, Tobe
, et al
2007
Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay
Dürr, Oliver
;
Duval, François
;
Nichols, Anthony
;
Lang, Paul
;
Brodte, Annette
, et al
2016
Single-cell phenotype classification using deep convolutional neural networks
Dürr, Oliver
;
Sick, Beate
2016
Speaker identification and clustering using convolutional neural networks
Lukic, Yanick
;
Vogt, Carlo
;
Dürr, Oliver
;
Stadelmann, Thilo
1999
Stochastic modelling of ion diffusion in complex systems
Dieterich, Wolfgang
;
Dürr, Oliver
;
Pendzig, Peter
;
Nitzan, Abraham
2014
Tumor-associated stromal gene expression signatures predict therapeutic response to erlotinib/bevacizumab in non-small cell lung cancer (NSCLC)
Dürr, Oliver
;
Franzini, Anca
;
Brutsche, Martin
;
Baty, Florent
17-Jul-2011
Using community structure for complex network layout
Dürr, Oliver
;
Brandenburg, Arnd
;
Fink, Kerstin