Michael Mayr

dblp:169/0396 · DBLP profile ↗
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5ranked-venue papers in the field
3as first author
3since 2021 · last 2026
0000-0002-8736-6704ORCID · corroborated

Domains — venue-derived; a paper can count in several

Data Mining & Knowledge Discovery · 4 (3 first)Information Retrieval & Web Search · 1
YearPublicationVenuePosition
2026 Topologically-Constrained Any-Variate Time-Series Foundation Models for Twinning of Continuous Industrial Processes
Michael Mayr, Georgios C. Chasparis
DaWaK1
2024 Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry
Michael Mayr, Georgios C. Chasparis, Josef Küng
DaWaK1
2021 Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review
Sabrina Luftensteiner, Michael Mayr, Georgios C. Chasparis
DaWaK2
2020 Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic
Michael Mayr, Johannes Himmelbauer
DaWaK1
2020 Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access
abstract
We present Music Tower Blocks, a novel browsing interface for interactive music visualization, capable of dealing with web-scale music collections nowadays offered by major music streaming services. Based on a clustering created from fused metadata and acoustic features, a block-based skyline landscape is constructed. It can be navigated by the user in several ways (zooming, panning, changing angle of slope). User-adjustable color coding is used for highlighting various facets, e.g., visualizing the distributions of genres and acoustic features. Furthermore, several search and filtering capabilities are provided (e.g., search for artists and tracks; filtering with respect to track popularity to focus on top hits or discovering unknown gems). In addition, Music Tower Blocks offers the user to connect to their personal music streaming profiles and highlight on the landscape their favorite or recently-listened-to music, to support exploring parts of the landscape near to (or far-away from) their own taste.
Markus Schedl, Michael Mayr, Peter Knees
ICMR2