26 citations · 57 across the 13 of their papers we have counts for
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cs.LG2019★ 6 cited
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Clustering using deep autoencoders has been thoroughly investigated in recent years. Current approaches rely on simultaneously learning embedded features and clustering the data po…
cs.SI2019
A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks
Ziwei He, Etienne Gael Tajeuna, Shengrui Wang +1
In real-world social networks, there is an increasing interest in tracking the evolution of groups of users and detecting the various changes they are liable to undergo. Several ap…