Biblio
 
 (2014).  Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools..  
Language Resources and Evaluation Conference (LREC).  3100–3104.
 
 (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).  Potential and Limitations of Commercial Sentiment Detection Tools..  
ESSEM@ AI* IA.  47–58.
 
 (2012).  Using Community Structure for Complex Network Layout.  
arXiv preprint arXiv:1207.6282.  
 
 (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).  Effective medium theory of conduction in stretched polymer electrolytes.  
arXiv preprint cond-mat/0202165.  

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