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HOLZINGER GROUP WELCOME TO STUDENTS - YouTube
HOLZINGER GROUP WELCOME TO STUDENTS - YouTube
Welcome Students to the Holzinger Group, HCI-KDD, where machine learning meets health informatics. Science is to test crazy ideas, Engineering is to put these ideas into Business: The Holzinger group is doing theoretical, algorithmical, and experimental studies to help to understand the problem of knowledge extraction from complex data to discover unknown unknowns. We try to help to answer a grand question: How can we perform a task by exploiting knowledge extracted during problem solving of previous tasks. Contributions to this problem would have major impact to Artificial Intelligence generally, and Machine Learning specifically, as we could develop software which learns from previous experience similarly as we humans do. Andreas Holzinger is lead of the Holzinger Group, HCI–KDD, Institute for Medical Informatics, Statistics and Documentation at the Medical University Graz, and Associate Professor of Applied Computer Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology. Currently, Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. His research interests are in supporting human intelligence with machine intelligence to help solve problems in health informatics. Andreas obtained a PhD in Cognitive Science from Graz University in 1998 and his Habilitation (second PhD) in Computer Science from Graz University of Technology in 2003. Andreas was Visiting Professor in Berlin, Innsbruck, London (twice), and Aachen. He founded the Expert Network HCI–KDD to foster a synergistic combination of methodologies of two areas that offer ideal conditions toward unravelling problems in understanding intelligence: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning. Andreas is Associate Editor of Knowledge and Information Systems(KAIS), Section Editor of BMC Medical Informatics and Decision Making (MIDM), and member of IFIP WG 12.9 Computational Intelligence, more information: http://hci-kdd.org Visit the Cross Domain Conference for Machine Learning and Knowledge Extraction CD-MAKE https://cd-make.net/
·youtube.com·
HOLZINGER GROUP WELCOME TO STUDENTS - YouTube
[1802.03707] The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations
[1802.03707] The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations
AI applications pose increasing demands on performance, so it is not surprising that the era of client-side distributed software is becoming important. On top of many AI applications already using...
·arxiv.org·
[1802.03707] The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations
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google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwi2ntmc78H7AhV4F1kFHXQmB68QFnoFCMQBEAE&url=http%3A%2F%2Faima.cs.berkeley.edu%2Fnpdict.txt&usg=AOvVaw0FmKeWdgEX4cD9pcTVPncs
·aima.cs.berkeley.edu·
google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwi2ntmc78H7AhV4F1kFHXQmB68QFnoFCMQBEAE&url=http%3A%2F%2Faima.cs.berkeley.edu%2Fnpdict.txt&usg=AOvVaw0FmKeWdgEX4cD9pcTVPncs
Ravens, Corvus corax, follow gaze direction of humans around obstacles | Proceedings of the Royal Society of London. Series B: Biological Sciences
Ravens, Corvus corax, follow gaze direction of humans around obstacles | Proceedings of the Royal Society of London. Series B: Biological Sciences
The ability to follow gaze (i.e. head and eye direction) has recently been shown for social mammals, particularly primates. In most studies, individuals could use gaze direction as a behavioural cue without understanding that the view of others may be ...
·royalsocietypublishing.org·
Ravens, Corvus corax, follow gaze direction of humans around obstacles | Proceedings of the Royal Society of London. Series B: Biological Sciences
Identification of α-Chloro Fatty Aldehydes and Unsaturated Lysophosphatidylcholine Molecular Species in Human Atherosclerotic Lesions | Circulation
Identification of α-Chloro Fatty Aldehydes and Unsaturated Lysophosphatidylcholine Molecular Species in Human Atherosclerotic Lesions | Circulation
Background— A role for myeloperoxidase (MPO) as a mediator of coronary artery disease and acute coronary syndromes has recently received considerable attention. Although active MPO and hypochlorite-m
·ahajournals.org·
Identification of α-Chloro Fatty Aldehydes and Unsaturated Lysophosphatidylcholine Molecular Species in Human Atherosclerotic Lesions | Circulation
Review of the Security Forum Hagenberger Kreis 2017 - SEC4YOU
Review of the Security Forum Hagenberger Kreis 2017 - SEC4YOU
The Security Forum of the Hagenberger Kreis 2017 at the FH Hagenberg is again a great success. More than 200 participants inform themselves about the latest trends, threats and dangers of IT security during the two days. SEC4YOU is represented at the Security Forum 2017 with an
·sec4you.com·
Review of the Security Forum Hagenberger Kreis 2017 - SEC4YOU
Optimization Theory for Large Systems - Google Books
Optimization Theory for Large Systems - Google Books
Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.
·google.com·
Optimization Theory for Large Systems - Google Books