219 citations · 297 across the 4 of their papers we have counts for
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Vertex-Frequency Graph Signal Processing: A review
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic +4
Graph signal processing deals with signals which are observed on an irregular graph domain. While many approaches have been developed in classical graph theory to cluster vertices…
Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems
Yassin Khalifa, Justin Hawks, Ervin Sejdic
Recent advances in neuroscience have revealed many principles about neural processing. In particular, many biological systems were found to reconfigure/recruit single neurons to ge…
Radiological images and machine learning: trends, perspectives, and prospects
Zhenwei Zhang, Ervin Sejdic
The application of machine learning to radiological images is an increasingly active research area that is expected to grow in the next five to ten years. Recent advances in machin…
An Example-Driven Introduction to Data Analytics on Graphs
Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +3
Graphs are irregular structures which naturally account for data integrity, however, traditional approaches have been established outside Signal Processing, and largely focus on an…