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Marko Ristin
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2020 – today
- 2024
- [c14]Nico Braunisch, Sebastian Heppner, Igor Garmaev, Marko Ristin, Torben Miny, Tobias Kleinert, Hans Wernher van de Venn, Martin Wollschlaeger
:
Software Evolution of I4.0 Digital Twins with Semantic Patching. ISIE 2024: 1-6 - [c13]Kiavash Fathi, Marko Ristin, Marcin Sadurski, Tobias Kleinert, Hans Wernher van de Venn:
Detection of Novel Asset Failures in Predictive Maintenance Using Classifier Certainty. MED 2024: 50-56 - [c12]Nico Braunisch, Santiago Soler Perez Olaya, Uwe Schmidt, Marko Ristin, Marcin Sadurski, Hans Wernher van de Venn, Martin Wollschlaeger
:
Digital Twin in Industrie 4.0 for Embedded Systems. WFCS 2024: 1-4 - 2023
- [c11]Nico Braunisch, Robert Lehmann, Martin Wollschlaeger
, Marko Ristin, Hans Wernher van de Venn, Björn Otto, Tobias Kleinert:
Maturity Evaluation of SDKs for I4.0 Digital Twins. ETFA 2023: 1-8 - [c10]Nico Braunisch, Marko Ristin-Kaufmann, Robert Lehmann, Martin Wollschlaeger
, Hans Wernher van de Venn:
Empowering Industry 4.0 with Generative and Model-Driven SDK Development. IECON 2023: 1-6 - [c9]Nico Braunisch, Marko Ristin-Kaufmann, Robert Lehmann, Martin Wollschlaeger
, Hans Wernher van de Venn:
Generation of Digital Twins for Information Exchange Between Partners in the Industrie 4.0 Value Chain. INDIN 2023: 1-6 - 2022
- [c8]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
:
Semi-Automatic Testing of Data-Focused Software Development Kits for Industrie 4.0. INDIN 2022: 269-274 - [c7]Jiyang Zhang, Marko Ristin, Phillip Schanely, Hans Wernher van de Venn, Milos Gligoric:
Python-by-contract dataset. ESEC/SIGSOFT FSE 2022: 1652-1656 - 2021
- [c6]Nico Braunisch, Marko Ristin, Robert Lehmann, Hans Wernher van de Venn:
Generative and Model-driven SDK development for the Industrie 4.0 Digital Twin. ETFA 2021: 1-4 - [c5]Marko Ristin, Dag Fjeld Edvardsen, Hans Wernher van de Venn:
RASAECO: Requirements Analysis of Software for the AECO Industry. RE 2021: 280-290 - [i1]Marko Ristin, Dag Fjeld Edvardsen, Hans Wernher van de Venn:
RASAECO: Requirements Analysis of Software for the AECO Industry. CoRR abs/2106.08644 (2021)
2010 – 2019
- 2016
- [j1]Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool:
Incremental Learning of Random Forests for Large-Scale Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 490-503 (2016) - 2015
- [b1]Marko Ristin-Kaufmann:
Large-Scale Image Recognition with Random Forests. ETH Zurich, Zürich, Switzerland, 2015 - [c4]Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool:
From categories to subcategories: Large-scale image classification with partial class label refinement. CVPR 2015: 231-239 - [c3]Rasmus Rothe, Marko Ristin, Matthias Dantone, Luc Van Gool:
Discriminative learning of apparel features. MVA 2015: 5-9 - 2014
- [c2]Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool:
Incremental Learning of NCM Forests for Large-Scale Image Classification. CVPR 2014: 3654-3661 - 2012
- [c1]Marko Ristin, Juergen Gall, Luc Van Gool:
Local Context Priors for Object Proposal Generation. ACCV (1) 2012: 57-70
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last updated on 2024-08-05 20:21 CEST by the dblp team
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