Alexander Graß

According to our database1, Alexander Graß authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0.
Syst., February, 2024

2023
Interpreting Black-box Machine Learning Models for High Dimensional Datasets.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information.
Proceedings of the New Trends in Database and Information Systems, 2023

2022
Interpreting Black-box Machine Learning Models for High Dimensional Datasets.
CoRR, 2022

Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery.
Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

2021
knowlEdge Project -Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2019
Gaussian Processes for Anomaly Description in Production Environments.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

A New Approach for Efficient Structure Discovery in IoT.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Unsupervised Anomaly Detection in Production Lines.
Proceedings of the Machine Learning for Cyber Physical Systems, 2018

Efficient Point-Based Pattern Search in 3D Motion Capture Databases.
Proceedings of the 6th IEEE International Conference on Future Internet of Things and Cloud, 2018

Metric Indexing for Efficient Data Access in the Internet of Things.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016
Multi-step threshold algorithm for efficient feature-based query processing in large-scale multimedia databases.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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