Gregor Ulm - RankMe

13 papers Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles. Data Sci. Eng. Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2020	J	`jnl`	Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement. Array Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2020	J	`jnl`	S-RASTER: contraction clustering for evolving data streams. J. Big Data Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2019	—	`conf`	Active-Code Replacement in the OODIDA Data Analytics Platform. Euro-Par Workshops Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2019	J	`jnl`	Active-Code Replacement in the OODIDA Data Analytics Platform. CoRR Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2019	J	`jnl`	Active-Code Replacement in the OODIDA Data Analytics Platform. CoRR Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2019	J	`jnl`	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 Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2019	J	`jnl`	OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles. CoRR Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2019	J	`jnl`	S-RASTER: Contraction Clustering for Evolving Data Streams. CoRR Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2018	—	`conf`	A Performance Evaluation of Federated Learning Algorithms. DIDL@Middleware Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2018	—	`conf`	Functional Federated Learning in Erlang (ffl-erl). WFLP Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2018	J	`jnl`	Functional Federated Learning in Erlang (ffl-erl). CoRR Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2017	—	`conf`	Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time. MOD Gregor Ulm, Emil Gustavsson, Mats Jirstrand