Adrian Nilsson

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Inductive Learning Algorithms

Outlier Detection

Top Venues

DIDL@Middleware

Publications

Adrian Nilsson, Simon Smith, Jonas Hagmar, Magnus Önnheim, Mats Jirstrand
The AutoSPADA Platform: User-Friendly Edge Computing for Distributed Learning and Data Analytics in Connected Vehicles. CoRR (2023)
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles. Data Sci. Eng. 6 (1) (2021)
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement. Array 8 (2020)
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
S-RASTER: contraction clustering for evolving data streams. J. Big Data 7 (1) (2020)
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
S-RASTER: Contraction Clustering for Evolving Data Streams. CoRR (2019)
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. CoRR (2019)
Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand
A Performance Evaluation of Federated Learning Algorithms. DIDL@Middleware (2018)