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2020 – today
- 2022
[c9]Bernhard Heinzl, Christian Hinterreiter, Michael Roßbory, Christian Hinterdorfer:
Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study. DEXA Workshops 2022: 90-99- 2021
- [j2]Mohit Kumar
, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
An optimal (∊, δ)-differentially private learning of distributed deep fuzzy models. Inf. Sci. 546: 87-120 (2021) - [c8]Bernhard Heinzl, Jorge Martínez Gil, Johannes Himmelbauer, Michael Rossbory, Christian Hinterdorfer, Christian Hinterreiter:
Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications. INDIN 2021: 1-6 - 2020
- [c7]Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
Differentially Private Learning of Distributed Deep Models. UMAP (Adjunct Publication) 2020: 193-200
2010 – 2019
- 2019
- [j1]Georgios C. Chasparis, Michael Rossbory:
Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning. Int. J. Parallel Program. 47(1): 24-38 (2019) - [c6]Vladimir Janjic, Michael Vinov, Thomas Given-Wilson, Axel Legay, Euan Blackledge, R. Arredouani, George Stylianou, Wanting Huang, Juliana Küster Filipe Bowles, Andreas Francois Vermeulen, Agastya Silvina, Marios Belk, Christos Fidas, Andreas Pitsillides, M. Kumar, Michael Rossbory:
The SERUMS tool-chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems. IEEE BigData 2019: 2726-2735 - [c5]Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning. DEXA Workshops 2019: 108-118 - [c4]Georgios C. Chasparis, Michael Rossbory, Vladimir Janjic, Kevin Hammond:
Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems. PDP 2019: 1-8 - 2018
- [i3]Georgios C. Chasparis, Vladimir Janjic, Michael Rossbory, Kevin Hammond:
Learning-based Dynamic Pinning of Parallelized Applications in Many-Core Systems. CoRR abs/1803.00355 (2018) - 2017
- [c3]Georgios C. Chasparis, Michael Rossbory, Vladimir Janjic:
Efficient Dynamic Pinning of Parallelized Applications by Reinforcement Learning with Applications. Euro-Par 2017: 164-176 - [i2]Georgios C. Chasparis, Michael Rossbory, Verena Haunschmid:
An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems. CoRR abs/1707.08776 (2017) - 2016
- [i1]Georgios C. Chasparis, Michael Rossbory:
Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning. CoRR abs/1606.08156 (2016) - 2013
- [c2]Michael Rossbory, Werner Reisner:
Parallelization of Algorithms for Linear Discrete Optimization Using ParaPhrase. DEXA Workshops 2013: 241-245 - 2011
- [c1]Kevin Hammond, Marco Aldinucci, Christopher Brown, Francesco Cesarini, Marco Danelutto, Horacio González-Vélez, Peter Kilpatrick, Rainer Keller, Michael Rossbory, Gilad Shainer:
The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems. FMCO 2011: 218-236
Coauthor Index
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