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Asan AGIBETOV plumdeq

PostDoc at CeMSIIS (Medical University of Vienna), interested in Deep Learning biomedical applications

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  1. Hyperbolic SVM in Python

    Python 11

  2. Evaluation of neural embeddings of knowledge graph entities for link prediction tasks

    Python 4 1

  3. Practical exercises for the "Deep Learning" lecture (given by me jointly with Prof. Georg Dorffner) of the "Machine Learning in der Medizin" course unit at the Medical University of Vienna.

    Jupyter Notebook 2 1

  4. Clusters based on neural embeddings for partitioning the ontology alignment task

    Python 2

  5. Grontcrawler transforms OWL-EL ontologies (a restricted subset, see paper for details) into undirected graphs by following rule-based, fix-point edge-production procedure. Graph representation of o…

    Python 1 1

  6. Evidence-based hypothesis testing in the biomedical research is a crucial part for the validation of any study. In our [prototype (link)][hypothtest] for evidence-based hypothesis testing, we focus…

    Jupyter Notebook 1 1