output
20202026
most citedExplainable deep learning for insights in El Niño and river flows

48 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · cs.DBShow all

1 paper · 2 filters

cs.DB2020

Cluster-and-Conquer: When Randomness Meets Graph Locality

George Giakkoupis, Anne-Marie Kermarrec, Olivier Ruas +1

K-Nearest-Neighbors (KNN) graphs are central to many emblematic data mining and machine-learning applications. Some of the most efficient KNN graph algorithms are incremental and l…