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 cs.DBShow all

2 papers · 1 filter

cs.DB2026

Enabling Differentiated QoS Degradation for Replicated Databases under Failures

Belkis Djeffal, Pierre Bourhis, Romain Rouvoy

Elasticity is commonly presented as the default response to capacity loss after failures, since replacement replicas can compensate for failed nodes and restore pre-incident servic…

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…