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SBA Research is a research center for Information Security
funded partly by the national initiative for COMET Competence Centers for Excellent Technologies.

Tag: Machine Learning

New Journal Article by Sebastian Raubitzek!

Sebastian Raubitzek, researcher at SBA Research, published an interesting journal article titled “Quantum-Inspired Kernel Matrices: Exploring Symmetry in Machine Learning“ in Physics Letters A via ScienceDirect by ELSEVIER. This insightful article explores how quantum principles can inspire new approaches… Read More
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Scaling Exponents of Time Series Data: A Machine Learning Approach

This publication by members of SBA’s CORE Research group presents a novel AI-based approach for estimating the volatility of time series data. This approach is based on a solid ground truth obtained from a vast array of theoretical models and is tested on real-life financial data to show its applicability… Read More

Anastasia Pustozerova @Vienna Deep Learning Meetup

Anastasia Pustozerova is researcher at SBA Research and gave an interesting talk on Differential Privacy for Machine Learning. Talk Abstract Machine Learning requires a lot of data to train effective models. Data owners might not be willing to share the data because of its private nature. Differential Privacy can… Read More

Combining Machine Learning and Semantic Web: A Systematic Mapping Study

The systematic mapping study on combining Machine Learning and Semantic Web has been accepted by ACM Computing Surveys. This was an international joint effort of Semantic Web Company (SWC), Vienna University of Technology, WU (Vienna University of Economics and Business), University of Vienna, SBA Research, University of Mannheim, and Vrije… Read More