My self-archived publications are available on my GitHub code repository. The papers I have authored or co-authored are listed below. Preprints can be found on my arXiv page.
20xx
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand. “Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass” (2019); arXiv preprint: https://arxiv.org/abs/1907.03620
2021
Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “OODIDA: On-board/Off-board Distributed Real-Time Data Analytics for Connected Vehicles” (2021); Data Science and Engineering 6: https://doi.org/10.1007/s41019-021-00152-6
2020
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand. “Facilitating Rapid Prototyping in the OODIDA Data Analytics Platform via Active-Code Replacement” (2020); Array 8: https://doi.org/10.1016/j.array.2020.100043
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand. “S-RASTER: Contraction Clustering for Evolving Data Streams” (2020); Journal of Big Data 7: https://doi.org/10.1186/s40537-020-00336-3
Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “Active-Code Replacement in the OODIDA Data Analytics Platform” (2020); Euro-Par 2019: Parallel Processing Workshops (LNCS 11997); Springer: https://link.springer.com/chapter/10.1007%2F978-3-030-48340-1_55
2019
Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “Functional Federated Learning in Erlang (ffl–
2018
Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “A Performance Evaluation of Federated Learning Algorithms” (2018); DIDL 2018; ACM: https://doi.org/10.1145/3286490.3286559
Gregor Ulm, François Bellorini, David Brodrick, Ricardo Fernandes, Nick Levchenko, Daniel Piso. “PLC Factory: Automating Routine Tasks in Large-Scale PLC Software Development” (2018); ICALEPCS 2017; JACoW: https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA046
2017
Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “Contraction Clustering (RASTER): A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time” (2017): MOD 2017 (LNCS 10710); Springer: https://doi.org/10.1007/978-3-319-72926-8_6