Search for tag: "datasets"

Rapid advancements in deep learning algorithms for computer vision tasks have produced powerful models that can accurately classify diseases from medical images across a variety of specialties. In…

The annual James Baldwin Lecture series was launched on March 29, 2006, aiming to celebrate the work of Princeton faculty and to provide an occasion for the intellectual community to reflect on the…

Urban tree cover is important for human health, wellbeing, and environmental sustainability. However, we have a limited understanding of tree cover distributions and dynamics, and their social and…

In response to growing concerns of bias, discrimination, and unfairness perpetuated by algorithmic systems, the datasets used to train and evaluate machine learning models have come under…

Problems of algorithmic bias are often framed in terms of lack of representative data or formal fairness optimization constraints to be applied to automated decision-making systems. However,…

Automating three-dimensional modeling of an Archaeocyathid reef using a Mask R-CNN

Imputing Single-Cell Expression Data based on Joint Statistical Modeling of Spatial and RNA Sequencing

Summer Research Colloquium Research Summary - Data augmentations for compositional representations in a recurrent neural network

This Productive Scholar session will cover the use of easily accessible and easy-to-use mapping tools that can help you visualize geo-spatial data for your teaching and research. Use Google Maps to…