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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

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

Combining Fractional Derivatives and Supervised Machine Learning: A Review 

A systematic review of historical and potential applications of fractional derivatives in combination with supervised machine learning. Thus, this article serves to motivate researchers dealing with data-based problems, to be specific machine learning practitioners, to adopt new tools, and enhance their existing approaches. Titel Combining Fractional Derivatives and Supervised Machine… Read More