The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems. - Kevin Hammond; Marco Aldinucci; Christopher Brown 002; Francesco Cesarini; Marco Danelutto; Horacio González-Vélez; Peter Kilpatrick; Rainer Keller; Michael Rossbory; Gilad Shainer (FMCO, 2011)

Parallelization of Algorithms for Linear Discrete Optimization Using ParaPhrase. - Michael Rossbory; Werner Reisner (DEXA Workshops, 2013)

Efficient Dynamic Pinning of Parallelized Applications by Reinforcement Learning with Applications. - Georgios C. Chasparis; Michael Rossbory; Vladimir Janjic (Euro-Par, 2017)

An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems. - Georgios C. Chasparis; Michael Rossbory; Verena Haunschmid (CoRR, 2017)

The SERUMS tool-chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems. - 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; et al. (IEEE BigData, 2019)

Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning. - Mohit Kumar 001; Michael Rossbory; Bernhard Alois Moser; Bernhard Freudenthaler (DEXA Workshops, 2019)

Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems. - Georgios C. Chasparis; Michael Rossbory; Vladimir Janjic; Kevin Hammond (PDP, 2019)

Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning. - Georgios C. Chasparis; Michael Rossbory (Int. J. Parallel Program., 2019)

Differentially Private Learning of Distributed Deep Models. - Mohit Kumar 001; Michael Rossbory; Bernhard Alois Moser; Bernhard Freudenthaler (UMAP (Adjunct Publication), 2020)

Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications. - Bernhard Heinzl; Jorge Martinez-Gil; Johannes Himmelbauer; Michael Rossbory; Christian Hinterdorfer; Christian Hinterreiter (INDIN, 2021)

An optimal (∊, δ)-differentially private learning of distributed deep fuzzy models. - Mohit Kumar 001; Michael Rossbory; Bernhard Alois Moser; Bernhard Freudenthaler (Inf. Sci., 2021)

Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study. - Bernhard Heinzl; Christian Hinterreiter; Michael Roßbory; Christian Hinterdorfer (DEXA Workshops, 2022)