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In this project, we develop a  system for the detection and analysis of germ transmission chains in the University Hospital  Zurich. The system is based on an expert system solution in combination with machine learning (reinforcement learning).  

Since Darwin, natural selection has been recognized as one of major biological forces shaping genetic patterns in molecular data. Detecting selection on proteins has become an indispensible part of genome studies. Remarkably selection can act not only on proteins, but also on synonymous codons translating into the ...

ICMA Quarterly Report (11.7.2019), p.23: Predicting investor behaviour in European bond markets through machine learning The quant team of ESM is developing, in cooperation with the Zurich University of Applied Sciences, a machine-learning based application to predict investor demand for syndicated bond issuances. A ...

Tandem repeats (TRs) are abundant in proteomes across all kingdoms of life. Having an impressive variety of sizes, structures and functions, TRs often offer enhanced binding properties and are associated with disease and immunity related functions. While mechanisms generating protein TRs are poorly understood, ...

Recommendation systems are ubiquitous on digital platforms. However, many systems rely either on the availability of large amounts of data that allow for data-driven optimization (collaborative filtering), or they are rather simple  and lack the possibility of intelligent recommendations. Especially in the fields of ...

From 2004 to 2015, the market perception of the sovereign risks of euro area government bonds experienced several different phases, reflected in a clear time structure of the correlation matrix between the yield changes. “Core” and “peripheral” bonds cluster in a bloc-like structure, but the correlations between the ...

Compared with earlier regulations, the 4th European Money Laundering Directive (MLD4) imposes rigorously increased requirements. It compels obliged entities to conduct in depth screenings of customers and their associations. The Libra Project aims at providing a one tool solution for meeting MLD4 compliance. The ...

The project will create a novel software system and service for predictive-prescriptive maintenance of gas turbines. The service will be based on predictive models created from historical data including the measurements of physical engine parameters as well as the measured output emissions and pulsation. The service ...

Powder spray coating facilities belong to the largest energy consumers in Swiss industry. The plant configuration and the production sequence must be optimized for economical and ecological operation. As yet there is no satisfactory tool for this. Our goal is to solve this optimization problem by combining methods ...

Aneurysm is a disease of blood vessel walls that causes deformation and enlargement of the vascular lumen. Clinical decision-making is currently based on the location and size of the aneurysm and on empirical clinical observations. Changes in the vessel wall result in shape modifications that can be analyzed ...

The availability of large molecular data demands accurate and fast bioinformatics methods to analyze these data. Molecular sequences of common origin are used to infer phylogenetic trees, which help to test various biological hypotheses or to support subsequent analyses. Phylogeny inference relies on ...

The main objective of the project was a significant improvement of sales forecasting algorithms with an application focus on food industry and retail, where food waste and stock-out situations are challenging for the planning process. The main product of the project is an intelligent planning software, whose ...

Since 2009, low interest rates and asset purchases by central banks are severely distorting investment opportunities and trends in financial markets. The performance of active investment strategies decreased substantially since then. This project aims to provide an investment process that finds the ...

On a scientific basis, an online expert system for the B2B business is being developed, which enables significant cost savings in the sales process and an increase in the quality of processing. Using the example of a highly fragmented niche market (promotional items), the new approach will be tested by taking into ...