Marko Ristin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 12

Top Topics

Incremental Learning

Software Development

Top Venues

Publications

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)
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)
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)
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)
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)
Jiyang Zhang, Marko Ristin, Phillip Schanely, Hans Wernher van de Venn, Milos Gligoric
Python-by-contract dataset. ESEC/SIGSOFT FSE (2022)
Marko Ristin, Dag Fjeld Edvardsen, Hans Wernher van de Venn
RASAECO: Requirements Analysis of Software for the AECO Industry. CoRR (2021)
Marko Ristin, Dag Fjeld Edvardsen, Hans Wernher van de Venn
RASAECO: Requirements Analysis of Software for the AECO Industry. RE (2021)
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)
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) (2016)
Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool
From categories to subcategories: Large-scale image classification with partial class label refinement. CVPR (2015)
Rasmus Rothe, Marko Ristin, Matthias Dantone, Luc Van Gool
Discriminative learning of apparel features. MVA (2015)
Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool
Incremental Learning of NCM Forests for Large-Scale Image Classification. CVPR (2014)
Marko Ristin, Juergen Gall, Luc Van Gool
Local Context Priors for Object Proposal Generation. ACCV (1) (2012)