Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features

Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features.

Satellite telemetry devices collect valuable information concerning the sites visited by animals, including the location of central places like dens, nests, rookeries, or haul-outs. Existing methods for estimating the location of central places from telemetry data require user-specified thresholds and ignore common nuances like measurement error. We present a fully model-based approach for loca...

A method for data‐driven exploration to pinpoint key features in medical data and facilitate expert review

PURPOSE To develop a method for data-driven exploration in pharmacovigilance and illustrate its use by identifying the key features of individual case safety reports related to medication errors. METHODS We propose vigiPoint, a method that contrasts the relative frequency of covariate values in a data subset of interest to those within one or more comparators, utilizing odds ratios with adapt...

Learning on the Test Data: Leveraging Unseen Features

This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and therefore are sampled from related but different distributions. In particular, features may appear in some parts of the data that are rarely or never seen in others. In most situations with nonhomogeneous data, the trai...

Clustering Spatial Data when Facing Physical Constraints

Clustering spatial data is a well-known problem that has been extensively studied to find hidden patterns or meaningful sub-groups and has many applications such as satellite imagery, geographic information systems, medical image analysis, etc. Although many methods have been proposed in the literature, very few have considered constraints such that physical obstacles and bridges linking cluste...

A Taxonomy of Spatial Data Integrity Constraints