Alexander Graß

According to our database, Alexander Graß authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

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

Enrico Alberti, Sergio Álvarez-Napagao, Víctor Anaya, Marta Barroso, Cristian Barrué, Christian Beecks, Letizia Bergamasco, Sisay Adugna Chala, Victor Gimenez-Abalos, Alexander Graß, Daniel Hinjos, Maike Holtkemper, Natalia Jakubiak, Alexandros Nizamis, Edoardo Pristeri, Miquel Sànchez-Marrè, Georg Stefan Schlake, Jona Scholz, Gabriele Scivoletto, Stefan Walter

Syst., February, 2024

Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes.

Christian Beecks, Anandraj Amalraj, Alexander Graß, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schäffer

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

Structural and Semantic Data Layers in Time Series Analyses.

Alexander Graß, Christian Beecks, Stefan Decker

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Entwicklung einer KI für automatisierte Tierschutzkontrollen in der Schweineschlachtung.

Christian Beecks, Alexander Graß, Anandraj Amalraj, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schäffer

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

2023

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

Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker

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.

Alexander Graß, Christian Beecks, Sisay Adugna Chala, Christoph Lange, Stefan Decker

Proceedings of the New Trends in Database and Information Systems, 2023

2022

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

Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker

CoRR, 2022

Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery.

Alexander Graß, Till Döhmen, Christian Beecks

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.

Sergio Álvarez-Napagao, Boki Ashmore, Marta Barroso, Cristian Barrué, Christian Beecks, Fabian Berns, Ilaria Bosi, Sisay Adugna Chala, Nicola Ciulli, Marta Garcia-Gasulla, Alexander Grass, Dimosthenis Ioannidis, Natalia Jakubiak, Karl Köpke, Ville Lämsä, Pedro Megias, Alexandros Nizamis, Claudio Pastrone, Rosaria Rossini, Miquel Sànchez-Marrè, Luca Ziliotti

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2019

Gaussian Processes for Anomaly Description in Production Environments.

Christian Beecks, Kjeld Willy Schmidt, Fabian Berns, Alexander Graß

Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

A New Approach for Efficient Structure Discovery in IoT.

Fabian Berns, Kjeld Willy Schmidt, Alexander Grass, Christian Beecks

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Unsupervised Anomaly Detection in Production Lines.

Alexander Graß, Christian Beecks, José Angel Carvajal Soto

Proceedings of the Machine Learning for Cyber Physical Systems, 2018

Efficient Point-Based Pattern Search in 3D Motion Capture Databases.

Christian Beecks, Alexander Grass

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.

Christian Beecks, Alexander Grass, Shreekantha Devasya

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.

Christian Beecks, Alexander Graß

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016