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Marko Ristin

Marko Ristin-Kaufmann

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2020 – today

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2024
[c18]
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Nico Braunisch, Marko Ristin, Björn Otto, Phillip Schanely, Hans Wernher van de Venn, Martin Wollschlaeger, Tobias Kleinert:
Automatic Fuzzing of Asset Administration Shells as Digital Twins for Industry 4.0. CASE 2024: 3525-3530
[c17]
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Torben Miny, Sebastian Heppner, Igor Garmaev, Marko Ristin, Björn Otto, Nico Braunisch, Michael Jacoby, Tobias Kleinert, Hans Wernher van de Venn, Martin Wollschlaeger:
Towards a Test Framework for Reactive (Type 2) Asset Administration Shell Implementations. ETFA 2024: 1-8
[c16]
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Nico Braunisch, Marko Ristin-Kaufmann, Uwe Schmidt, Robert Lehmann, Martin Wollschlaeger, Hans Wernher van de Venn:
Generation of Digital Twins for Exchanging Information via Application Programming Interfaces. ICPS 2024: 1-6
[c15]
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Christof Tinnes, Marko Ristin, Uwe Hohenstein, Kiavash Fathi, Hans Wernher van de Venn:
From Unstructured Product Descriptions to Structured Data for Industry 4.0 with ChatGPT. ICPS 2024: 1-8
[c14]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Marko Ristin, Dag Fjeld Edvardsen, Hans Wernher van de Venn:
RASAECO: Requirements Analysis of Software for the AECO Industry. RE 2021: 280-290
[i1]
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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

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2016
[j1]
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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]
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Marko Ristin-Kaufmann:
Large-Scale Image Recognition with Random Forests. ETH Zurich, Zürich, Switzerland, 2015
[c4]
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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]
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Rasmus Rothe, Marko Ristin, Matthias Dantone, Luc Van Gool:
Discriminative learning of apparel features. MVA 2015: 5-9
2014
[c2]
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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]
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Marko Ristin, Juergen Gall, Luc Van Gool:
Local Context Priors for Object Proposal Generation. ACCV (1) 2012: 57-70

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