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09/02/2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development
Machine learning (ML) has significantly contributed to the development o...
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12/19/2019
Normalizing flows for deep anomaly detection
Anomaly detection for complex data is a challenging task from the perspe...
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12/01/2019
Adaptive Divergence for Rapid Adversarial Optimization
Adversarial Optimization (AO) provides a reliable, practical way to matc...
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06/14/2019
(1 + ε)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
Anomaly detection is not an easy problem since distribution of anomalous...
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05/28/2019
Machine Learning on data with sPlot background subtraction
Data analysis in high energy physics has to deal with data samples produ...
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09/25/2017
Numerical optimization for Artificial Retina Algorithm
High-energy physics experiments rely on reconstruction of the trajectori...
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09/25/2017
Towards automation of data quality system for CERN CMS experiment
Daily operation of a large-scale experiment is a challenging task, parti...
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09/25/2017
Muon Trigger for Mobile Phones
The CRAYFIS experiment proposes to use privately owned mobile phones as ...
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07/27/2015
