ECDA 2019

Dominik is member of the program commitee of the ECDA 2019 in Bayreuth. ECDA solicits contributions to theoretical as well as application-oriented research on topics in the realm of data science, with a specific focus on data analytics. With its motto „Multidisciplinary Facets of Data Science“, ECDA 2019 specifically emphasizes the important interplay of disciplines…

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H2020 project will be funded!

Our EU RIA project application FeatureCloud with a total volume of EUR 4,646,000,00 has just been granted for the next 5 years. The project was submitted to the H2020-SC1-FA-DTS-2018-2020 call “Trusted digital solutions and Cybersecurity in Health and Care”. The lead is done by TU Munich, partners are the Philipps-University of Marburg, Medical University of…

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BBCC 2018

Dominik is member of the program commitee of the BBCC 2018 in Naples. BBCC is an annual conference series started in 2006, as the regional meeting for the bioinformatics community working in Campania, Italy. During the years, many editions were joined with tutorials and courses activities, or international workshops, thus hosting also researchers from other…

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New project will be funded!

Our project MOSLA will be funded by the Hessian Ministry for Science and the Arts from 2019 until 2022. Please find here the German press release. How can we store digital information for long time periods without loosing data in the future? In the research project MOSLA, the University of Marburg, University of Giessen, and…

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New publication!

Our new article has been accepted in Machine Learning and Knowledge Extraction: Armano G, Giuliani A, Neumann U, Rothe N, Heider D: Phi-Delta-Diagrams: Software Implementation of a Visual Tool for Assessing Classifier and Feature Performance. Mach. Learn. Knowl. Extr. 2018, 1(1):7 (Link) Abstract In this article, a two-tiered 2D tool is described, called phi-delta diagrams, and…

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Talks at the ECDA

Ulla’s and Johanna’s abstracts have been accepted at the ECDA 2018 and they will give talks on Ensemble Feature Selection for Regression Problems and On the projection of machine learning scores to well-calibrated probability estimates respectively.

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New publication!

Our new article has been accepted in Archives of Medical Science: Baars T, Sowa J-P, Neumann U, Hendricks S, Jinawy M, Kälsch J, Gerken G, Rassaf T, Heider D, Canbay A: Liver parameters as part of a non-invasive model for prediction of all-cause mortality after myocardial infarction. Archives of Medical Science 2018, in press. Abstract…

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New publication!

Our new article has been accepted in Systems Medicine: Riemenschneider R, Wienbeck J, Scherag A, Heider D: Data Science for MDx Applications: From Academia to Clinic to Industry. Systems Medicine 2018, in press. Abstract The development of computational approaches for predictive modeling of diseases, e.g., in cancer diagnostics or prognostics, or drug resistance predictions in…

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