Our paper, titled “Erebus: Explaining the Outputs of Data Streaming Queries”, written by Dimitris Palyvos-Giannas (Chalmers), Katerina Tzompanaki (CY Cergy Paris University), Marina Papatriantafilou (Chalmers), and Vincenzo Gulisano (Chalmers) has been accepted at the 49th International Conference on Very Large…

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…

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…