Biblio
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.
(2014). Potential and Limitations of Commercial Sentiment Detection Tools..
ESSEM@ AI* IA. 47–58.
(2013). Using Community Structure for Complex Network Layout.
arXiv preprint arXiv:1207.6282.
(2012). Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay.
Journal of biomolecular screening. 12, 1042–1049.
(2007). Effective medium theory of conduction in stretched polymer electrolytes.
arXiv preprint cond-mat/0202165.
(2002).