Alexander Schliep
My core interests are Machine learning (ML), Algorithms and Artificial Intelligence (AI) for Data Science and Bioinformatics.
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Showing 10 publications
De novo generated combinatorial library design
Compressed computations using wavelets for hidden Markov models with continuous observations
Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction
Reinforcement Learning as an Alternative to Reachability Analysis for Falsification of AD Functions
Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer’s disease
Bayesian optimization in ab initio nuclear physics
Bayesian localization of CNV candidates in WGS data within minutes
An optimization problem related to Bloom filters with bit patterns
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