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2020 – today
- 2024
[j1]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:
AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0. Syst. 12(2): 48 (2024)- [c12]Christian Beecks, Alexander Graß, Anandraj Amalraj, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schäffer:
Entwicklung einer KI für automatisierte Tierschutzkontrollen in der Schweineschlachtung. INFORMATIK 2024: 1463-1477 - [c11]Christian Beecks, Anandraj Amalraj, Alexander Graß, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schäffer:
Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes. KI 2024: 275-281 - 2023
- [c10]Alexander Graß, Christian Beecks, Sisay Adugna Chala, Christoph Lange, Stefan Decker:
A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information. ADBIS (Short Papers) 2023: 174-184 - [c9]Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. DSAA 2023: 1-10 - 2022
- [c8]Alexander Graß, Till Döhmen, Christian Beecks:
Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery. ICDE Workshops 2022: 79-83 - [i1]Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. CoRR abs/2208.13405 (2022) - 2021
- [c7]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:
knowlEdge Project -Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0. INDIN 2021: 1-7
2010 – 2019
- 2019
- [c6]Fabian Berns, Kjeld Willy Schmidt, Alexander Grass, Christian Beecks:
A New Approach for Efficient Structure Discovery in IoT. IEEE BigData 2019: 4152-4156 - [c5]Christian Beecks, Kjeld Willy Schmidt, Fabian Berns, Alexander Graß:
Gaussian Processes for Anomaly Description in Production Environments. EDBT/ICDT Workshops 2019 - 2018
- [c4]Christian Beecks, Alexander Grass, Shreekantha Devasya:
Metric Indexing for Efficient Data Access in the Internet of Things. IEEE BigData 2018: 5132-5136 - [c3]Christian Beecks, Alexander Grass:
Efficient Point-Based Pattern Search in 3D Motion Capture Databases. FiCloud 2018: 230-235 - [c2]Alexander Graß, Christian Beecks, José Angel Carvajal Soto:
Unsupervised Anomaly Detection in Production Lines. ML4CPS 2018: 18-25 - 2016
- [c1]Christian Beecks, Alexander Graß:
Multi-step threshold algorithm for efficient feature-based query processing in large-scale multimedia databases. IEEE BigData 2016: 596-605
Coauthor Index
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