Entries by Andreas Holzinger

December, 3, 2015 Seminar Talk on human protein interaction networks

Title: Coordination of post-translational modifications in human protein interaction network Lecturer: Ulrich Stelzl, Network Pharmacology, Insitute of Pharmaceutical Sciences, Karl-Franzens University Graz Abstract: Comprehensive protein interaction networks are prerequisite for a better understanding of complex genotype to phenotype relationships. Post – translational modifications (PTMs) regulate protein activity, stability and protein interaction (PPI) profiles critical for […]

July, 7, 2015 Seminar Metabolomics data types

The potential of metabolomics and its various data types Lecturer: Natalie BORDAG,  CBmed – Center for Biomarker Research in Medicine Graz Abstract: Metabolomics is one of the youngest -omics technologies primarily concerned with the identification and quantification of small molecules (<1500 Da). The specific advantage of metabolomics in biomarker research lies in the concept, that […]

July, 7, 2015 Seminar Feature Based Search

Visual-Interactive Search and Exploration in Complex Data Repositories – Feature-Based Search, Applications and Research Challenges Lecturer: Tobias SCHRECK, University of Konstanz and Graz University of Technology <link> Abstract: Advances in data acquisition and storage technology are leading to the creation of large, complex data sets in many different domains including science, engineering or social media. […]

Machine Learning in Nature again

Lecun, Y., Bengio, Y. & Hinton, G. 2015. Deep learning. Nature, 521, (7553), 436-444. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains […]

June, 23, 2015 Seminar Talk Machine Learning

Title: Towards Knowledge Discovery with the human in the machine learning loop: An Ontology-Guided Meta-Classifying Approach for the Biomedical Domain Lecturer: Dominic GIRADI, RISC-Software Linz, Austria <expertise> Abstract: The process of knowledge discovery in clinical research is significantly different from other business domains, for example market research. While in the general definitions of knowledge discovery […]

May,19, 2015 Seminar Talks Machine Learning

Title: Towards Personalization of Diabetes Therapy Using Computerized Decision Support and Machine Learning Lecturer: Klaus DONSA <expertise> and Stephan SPAT <expertise> Abstract: Diabetes mellitus (DM) is a growing global disease which highly affects the individual patient and represents a global health burden with financial impact on national health care systems. The therapeutic options include lifestyle […]

Apr, 14, 2015 Seminar Talks Deep Learning

Title:  Using Deep Learning for Discovering Knowledge from Images: Pitfalls and Best Practices Lecturer: Marcus BLOICE <expertise> Abstract: Neural networks have been shown to be adept at image analysis and image classification. Deep layered neural networks especially so. However, deep learning requires two things in order to work proficiently: large amounts of data and lots […]

Open PhD machine learning

PhD position in “Biomedical data sciences and machine learning” + 2 open MSc positions in the context of the new competence center for biomarker discovery cbmed.org located at the Medical University Graz. You … … have a MSc related to Information & Computer Science (e.g. Informatics, Software Engineering, Telematics, Mathematics, …) … are eligible to […]

Geometric, Topological and Harmonic Trends to Image Processing due to 1st June 2015

Special Issue on Geometric, Topological and Harmonic Trends to Image Processing Pattern Recognition Letters Submission deadline: June 1, 2015 Advanced topological measures from the numerical and algebraic perspective, combined with the geometric representations of physical objects and the sparse decomposition using harmonic transforms are generating novel methods for the study of n-dimensional digital or continuous […]