Michael Rossbory

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 11

Top Topics

Privacy Sensitive

Healthcare Systems

Reinforcement Learning

Medical Data Mining

Top Venues

Publications

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)
Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler
An optimal (∊, δ)-differentially private learning of distributed deep fuzzy models. Inf. Sci. 546 (2021)
Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler
Differentially Private Learning of Distributed Deep Models. UMAP (Adjunct Publication) (2020)
Georgios C. Chasparis, Michael Rossbory, Vladimir Janjic, Kevin Hammond
Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems. PDP (2019)
Vladimir Janjic, Michael Vinov, Thomas Given-Wilson, Axel Legay, Euan Blackledge, R. Arredouani, George Stylianou, W. 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)
Georgios C. Chasparis, Michael Rossbory
Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning. Int. J. Parallel Program. 47 (1) (2019)
Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler
Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning. DEXA Workshops (2019)
Georgios C. Chasparis, Vladimir Janjic, Michael Rossbory, Kevin Hammond
Learning-based Dynamic Pinning of Parallelized Applications in Many-Core Systems. CoRR (2018)
Georgios C. Chasparis, Michael Rossbory, Verena Haunschmid
An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems. CoRR (2017)
Georgios C. Chasparis, Michael Rossbory, Vladimir Janjic
Efficient Dynamic Pinning of Parallelized Applications by Reinforcement Learning with Applications. Euro-Par (2017)
Georgios C. Chasparis, Michael Rossbory
Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning. CoRR (2016)
Michael Rossbory, Werner Reisner
Parallelization of Algorithms for Linear Discrete Optimization Using ParaPhrase. DEXA Workshops (2013)
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)