Biblio
(2022).
Using Community Structure for Complex Network Layout.
arXiv preprint arXiv:1207.6282.
(2012). 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).
(2003). Speaker Identification and Clustering using Convolution Neural Networks.
IEEE International workshop on Machine Learning for Signal Processing.
(2016). Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks.
Journal of biomolecular screening. 21, 998–1003.
(2016). Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows.
IEEE Transactions on Smart Grid.
(2023). 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). Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual.
(2021).
(2020). Potential and Limitations of Commercial Sentiment Detection Tools..
ESSEM@ AI* IA. 47–58.
(2013).
(2023).
(1998).
Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools..
Language Resources and Evaluation Conference (LREC). 3100–3104.
(2014). Learning Neural Models for End-to-End Clustering.
IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 126–138. ANNPR_2018a.pdf (3.43 MB)
(2018). 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)
(2017). Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes.
Assay and drug development technologies. 16, 343–349. adt.2018.859.pdf (711.06 KB)
(2018). JOINT\_FORCES: Unite Competing Sentiment Classifiers with Random Forest..
SemEval@ COLING. 366–369.
(2014). Integrating uncertainty in deep neural networks for MRI based stroke analysis.
Medical Image Analysis. 65, 101790.
(2020). 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.
(2015). Effective medium theory of conduction in stretched polymer electrolytes.
arXiv preprint cond-mat/0202165.
(2002). Developing deep learning applications for life science and pharma industry.
Drug research. 68, 305–310.
(2018). Deep transformation models: Tackling complex regression problems with neural network based transformation models.
Accepted for Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan/Online, 2021.
(2021). Deep transformation models for functional outcome prediction after acute ischemic stroke.
Biometrical Journal. 65, 2100379.
(2023). Deep Learning on a Raspberry Pi for Real Time Face Recognition..
Eurographics (Posters). 11–12.
(2015).