34 citations · 35 across the 3 of their papers we have counts for
4 papers · 1 filter
SSMF: Shifting Seasonal Matrix Factorization
Koki Kawabata, Siddharth Bhatia, Rui Liu +2
Given taxi-ride counts information between departure and destination locations, how can we forecast their future demands? In general, given a data stream of events with seasonal pa…
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
Siddharth Bhatia, Yiwei Wang, Bryan Hooi +1
Finding anomalous snapshots from a graph has garnered huge attention recently. Existing studies address the problem using shallow learning mechanisms such as subspace selection, eg…
ExGAN: Adversarial Generation of Extreme Samples
Siddharth Bhatia, Arjit Jain, Bryan Hooi
Mitigating the risk arising from extreme events is a fundamental goal with many applications, such as the modelling of natural disasters, financial crashes, epidemics, and many oth…
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
Siddharth Bhatia, Bryan Hooi, Minji Yoon +2
Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges in an online manner, for the purpose of detecting unusual behavior, using constant tim…