Biblio

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Author Title Type [ Year(Asc)]
Filters: Author is Dürr, Oliver  [Clear All Filters]
2014
[Anonymous] (2014).  Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools.. Language Resources and Evaluation Conference (LREC). 3100–3104.
[Anonymous] (2014).  Tumor-associated stromal gene expression signatures predict therapeutic response to erlotinib/bevacizumab in non-small cell lung cancer (NSCLC). European Respiratory Journal. 44, P821.
2013
[Anonymous] (2013).  Potential and Limitations of Commercial Sentiment Detection Tools.. ESSEM@ AI* IA. 47–58.
2012
[Anonymous] (2012).  Using Community Structure for Complex Network Layout. arXiv preprint arXiv:1207.6282.
2007
[Anonymous] (2007).  Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay. Journal of biomolecular screening. 12, 1042–1049.
2002
[Anonymous] (2002).  Effective medium theory of conduction in stretched polymer electrolytes. arXiv preprint cond-mat/0202165.

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