Blog Archives

Our paper “IP-LSH-DBSCAN: Integrated Parallel Density-Based Clustering through Locality-Sensitive Hashing” has been accepted at Euro-Par 2022

Our paper titled “IP-LSH-DBSCAN: Integrated Parallel Density-Based Clustering through Locality-Sensitive Hashing” (Amir Keramatian, Vincenzo Gulisano, Marina Papatriantafilou, and Philippas Tsigas) has been accepted at Euro-Par 2022. The abstract follows: Locality-sensitive hashing (LSH) is an established method for fast data indexing

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Journal paper about efficient data localization in fleets of connected vehicles accepted at IEEE Access

Our paper titled “Time- and Computation-Efficient Data Localization at Vehicular Networks’ Edge.” (Romaric Duvignau, Bastian Havers, Vincenzo Gulisano and Marina Papatriantafilou) has been accepted at the IEEE Access journal. This work, conducted within the scope of the Vinnova project AutoSPADA

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DRIVEN article accepted at Elsevier’s Future Generation Computer Systems.

Our paper DRIVEN: a framework for efficient Data Retrieval and clusterIng in VEhicular Networks has been accepted for publication at Elsevier’s Future Generation Computer Systems journal. This work is an extension of the conference publication: Havers, Bastian, et al. “DRIVEN:

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