Martin Heusel

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Developing and research of various Machine Learning algorithms, classification, regression, clustering, biclustering, Neural Networks, Recurrent Neural Networks especially LSTM, statistical learning theory, Support Vector Machines, Logistic Regression, Gaussian Processes, supervised, unsupervised and Bayesian methods. Experience in data analysis, large scale data analysis, Neural Networks, Recurrent Neural Networks, Tensorflow, Python, R, Shiny, Java, C, C++, Perl, Bash scripting, HPC, Linux.

machine learning generative models neural networks generative adversarial networks deep learning big data drug discovery chemoinformatics biclustering bioactivity chembl bioinformatics

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Wasserstein GAN an Introduction

6 years ago • 402 Views

FABIA: Large Data Biclustering in Drug Design

11 years ago • 531 Views

machine learning generative models neural networks generative adversarial networks deep learning big data drug discovery chemoinformatics biclustering bioactivity chembl bioinformatics

Martin Heusel

Presentations

Wasserstein GAN an Introduction

Documents

FABIA: Large Data Biclustering in Drug Design