Deep residual networks (ResNets) have shown state-of-the-art performance...
The ordinal endpoint is prevalent in clinical studies. For example, for ...
Network data is a major object data type that has been widely collected ...
Running neural networks (NNs) on microcontroller units (MCUs) is becomin...
The sudden onset of the coronavirus (SARS-CoV-2) pandemic has resulted i...
The sudden onset of the coronavirus (SARS-CoV-2) pandemic has resulted i...
Stream analytics have an insatiable demand for memory and performance.
E...
The positive-unlabeled (PU) classification is a common scenario in real-...
Tree-structured data usually contain both topological and geometrical
in...