AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

We suggested the modification of DBSCAN clustering algorithm for vertically partitioned big data. This modification provides privacy of the information which is transmitted via telecommunication ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

To estimate the validity, experiments are conducted with 20 datasets collected in real settings to compare the proposed DBSCAN with three spatial clustering models including Agglomerative Hierarchical ...

Machine learning-based algorithms have gradually been applied to trajectory prediction. Machine learning mines hidden information from large amounts of trajectory data, constructs neural networks, and ...

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