Jul 20, 2006 · In an attempt to address this issue, this article discusses a data-driven algorithm that identifies the region of coincidence, or overlap, for ...

Oct 22, 2024 · In an attempt to address this issue, this article discusses a data-driven algorithm that identifies the region of coincidence, or overlap, for ...

In an attempt to address this issue, this article discusses a data-driven algorithm that identifies the region of coincidence, or overlap, for two-group ...

The blue social bookmark and publication sharing system.

Nov 19, 2024 · The paper proposes a new method for building one class classifiers based on variational autoencoders (VAE). The classification decision is ...

Here we present a new method, structure-augmented regression, that efficiently learns biological response landscapes from sparse measurements.

Feb 12, 2020 · We propose a data-driven method to decompose motion data into task-relevant and task-irrelevant components when the outcome takes categorical values.

Feb 6, 2023 · This research aims to develop an end-to-end deep learning framework for diffuse optical imaging (DOI) with multiple datasets to detect breast cancer

Many document classification applications require human understanding of the reasons for data-driven classification decisions by managers, client-facing ...

Nov 4, 2023 · First, we derive data-driven BCs that optimally match the state of the plasma inferred from a time series of observations of a boundary (e.g., ...