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Martin Heusel
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Organization / Workplace
Berlin Area, Germany Germany
Occupation
Researcher, Marie Curie Fellow at Johannes Kepler University
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Education
Website
http://www.bioinf.jku.at/
About
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.
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Tags
machine learning
generative models
neural networks
generative adversarial networks
deep learning
big data
drug discovery
chemoinformatics
biclustering
bioactivity
chembl
bioinformatics
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Presentations
(1)
Wasserstein GAN an Introduction
7 years ago
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431 Views
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Documents
(1)
FABIA: Large Data Biclustering in Drug Design
13 years ago
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540 Views
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Personal Information
Organization / Workplace
Berlin Area, Germany Germany
Occupation
Researcher, Marie Curie Fellow at Johannes Kepler University
Industry
Education
Website
http://www.bioinf.jku.at/
About
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.
Tags
machine learning
generative models
neural networks
generative adversarial networks
deep learning
big data
drug discovery
chemoinformatics
biclustering
bioactivity
chembl
bioinformatics
See more
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