Biblio
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(2017). Learning embeddings for speaker clustering based on voice equality.
Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International Workshop on. 1–6.
MLSP_2017.pdf (1.34 MB)
MLSP_2017.pdf (1.34 MB)
(2016). Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks.
Journal of biomolecular screening. 21, 998–1003.
(2016). Speaker Identification and Clustering using Convolution Neural Networks.
IEEE International workshop on Machine Learning for Signal Processing.
(2015). Deep Learning on a Raspberry Pi for Real Time Face Recognition..
Eurographics (Posters). 11–12.
(2015). Gene expression signatures predictive of bevacizumab/erlotinib therapeutic benefit in advanced non-squamous non-small cell lung cancer patients (SAKK 19/05 trial).
Clinical Cancer Research. clincanres––3135.
(2014). JOINT\_FORCES: Unite Competing Sentiment Classifiers with Random Forest..
SemEval@ COLING. 366–369.
(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.