Marko Ristin

According to our database, Marko Ristin authored at least 18 papers between 2012 and 2024.

Collaborative distances:

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

2024

Digital Twin in Industrie 4.0 for Embedded Systems.

Nico Braunisch, Santiago Soler Perez Olaya, Uwe Schmidt, Marko Ristin, Marcin Sadurski, Hans Wernher van de Venn, Martin Wollschlaeger

Proceedings of the 20th IEEE International Conference on Factory Communication Systems, 2024

Detection of Novel Asset Failures in Predictive Maintenance Using Classifier Certainty.

Kiavash Fathi, Marko Ristin, Marcin Sadurski, Tobias Kleinert, Hans Wernher van de Venn

Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Software Evolution of I4.0 Digital Twins with Semantic Patching.

Nico Braunisch, Sebastian Heppner, Igor Garmaev, Marko Ristin, Torben Miny, Tobias Kleinert, Hans Wernher van de Venn, Martin Wollschlaeger

Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

Towards a Test Framework for Reactive (Type 2) Asset Administration Shell Implementations.

Torben Miny, Sebastian Heppner, Igor Garmaev, Marko Ristin, Björn Otto, Nico Braunisch, Michael Jacoby, Tobias Kleinert, Hans Wernher van de Venn, Martin Wollschlaeger

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

Automatic Fuzzing of Asset Administration Shells as Digital Twins for Industry 4.0.

Nico Braunisch, Marko Ristin, Björn Otto, Phillip Schanely, Hans Wernher van de Venn, Martin Wollschlaeger, Tobias Kleinert

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Generation of Digital Twins for Information Exchange Between Partners in the Industrie 4.0 Value Chain.

Nico Braunisch, Marko Ristin-Kaufmann, Robert Lehmann, Martin Wollschlaeger, Hans Wernher van de Venn

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Empowering Industry 4.0 with Generative and Model-Driven SDK Development.

Nico Braunisch, Marko Ristin-Kaufmann, Robert Lehmann, Martin Wollschlaeger, Hans Wernher van de Venn

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Maturity Evaluation of SDKs for I4.0 Digital Twins.

Nico Braunisch, Robert Lehmann, Martin Wollschlaeger, Marko Ristin, Hans Wernher van de Venn, Björn Otto, Tobias Kleinert

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022

Python-by-contract dataset.

Jiyang Zhang, Marko Ristin, Phillip Schanely, Hans Wernher van de Venn, Milos Gligoric

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Semi-Automatic Testing of Data-Focused Software Development Kits for Industrie 4.0.

Torben Miny, Sebastian Heppner, Igor Garmaev, Tobias Kleinert, Marko Ristin, Hans Wernher van de Venn, Björn Otto, Karsten Meinecke, Christian Diedrich, Nico Braunisch, Martin Wollschlaeger

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021

RASAECO: Requirements Analysis of Software for the AECO Industry.

Marko Ristin, Dag Fjeld Edvardsen, Hans Wernher van de Venn

Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

Generative and Model-driven SDK development for the Industrie 4.0 Digital Twin.

Nico Braunisch, Marko Ristin, Robert Lehmann, Hans Wernher van de Venn

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

2016

Incremental Learning of Random Forests for Large-Scale Image Classification.

Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015

Large-Scale Image Recognition with Random Forests.

Marko Ristin-Kaufmann

PhD thesis, 2015

Discriminative learning of apparel features.

Rasmus Rothe, Marko Ristin, Matthias Dantone, Luc Van Gool

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

From categories to subcategories: Large-scale image classification with partial class label refinement.

Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Incremental Learning of NCM Forests for Large-Scale Image Classification.

Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

Local Context Priors for Object Proposal Generation.

Marko Ristin, Juergen Gall, Luc Van Gool

Proceedings of the Computer Vision - ACCV 2012, 2012