Michael Mayr

According to our database, Michael Mayr authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automated Knowledge Graph Learning in Industrial Processes.

Lolitta Ammann, Jorge Martínez Gil, Michael Mayr, Georgios C. Chasparis

CoRR, 2024

Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry.

Michael Mayr, Georgios C. Chasparis, Josef Küng

Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

2023

Gathering Expert Knowledge in Process Industry.

Sabrina Luftensteiner, Georgios C. Chasparis, Michael Mayr

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2022

Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals.

Roman Josef Rainer, Michael Mayr, Johannes Himmelbauer, Ramin Nikzad-Langerodi

CoRR, 2022

From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry.

Johannes Himmelbauer, Michael Mayr, Sabrina Luftensteiner

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

2021

Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes.

Michael Mayr, Sabrina Luftensteiner, Georgios C. Chasparis

Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes.

Georgios C. Chasparis, Sabrina Luftensteiner, Michael Mayr

Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review.

Sabrina Luftensteiner, Michael Mayr, Georgios C. Chasparis

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020

Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access.

Markus Schedl, Michael Mayr, Peter Knees

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic.

Michael Mayr, Johannes Himmelbauer

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

2019

Kompetenzen: Menschen entscheiden über den Erfolg.

Michael Mayr

Datenschutz und Datensicherheit, 2019

2015

JKU-Satellite at MediaEval 2015: An Intuitive Approach to Locate Single Pictures Within a Session.

Michael Mayr, Thomas Hintersteiner, Michael Weingartner, Florian Schröckeneder, Peter Knees, Markus Schedl

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015