This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Graphs are a powerful data structure for representing relational data, and Graph Neural Networks (GNNs) have emerged as effective tools for inference and learning on graph-structured data.

Jann Choy is a multidisciplinary designer who moves between graphic design, creative coding, 3D and moving image. She is fascinated with the interaction of humans, data, nature and technology, and her ...