69 citations · 237 across the 18 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.LG2016★ 7 cited
Nonnegative autoencoder with simplified random neural network
Yonghua Yin, Erol Gelenbe
This paper proposes new nonnegative (shallow and multi-layer) autoencoders by combining the spiking Random Neural Network (RNN) model, the network architecture typical used in deep…
cs.NE2016★ 16 cited
Deep Learning in Multi-Layer Architectures of Dense Nuclei
Yonghua Yin, Erol Gelenbe
We assume that, within the dense clusters of neurons that can be found in nuclei, cells may interconnect via soma-to-soma interactions, in addition to conventional synaptic connect…
cs.NI2016
Towards a Cognitive Routing Engine for Software Defined Networks
Frederic Francois, Erol Gelenbe
Most Software Defined Networks (SDN) traffic engineering applications use excessive and frequent global monitoring in order to find the optimal Quality-of-Service (QoS) paths for t…