Search for tag: "machine learning"

Machine Learning-Based Cell Segmentation Enables Spatial Single-Cell Analysis of the Tumor Immune Microenvironment, Jasper Lee, UG '21 (2308192)

The tumor microenvironment contains a complex collection of immune cells which can infiltrate cancer tissues to varying degrees. Studies into tumor immune cell populations are highly clinically…

From  Research Princeton Research Day on April 29th, 2021 1 likes 36 plays

An ultra-high spatial resolution multi-spectral macro-imager for geological samples, Devdigvijay Singh, UG '24 (2263070)

Feature detection in optical imagery relies on color and textural differences between objects of interest and their surroundings. For fifty years, satellite remote sensing has leveraged multispectral…

From  Research Princeton Research Day on April 29th, 2021 2 likes 100 plays

CITP Seminar: Raluca Ada Popa – Towards a Secure Collaborative Learning Platform

Co-sponsored by the Center for Statistics and Machine Learning. Multiple organizations often wish to aggregate their sensitive data and learn from it, but they cannot do so because they cannot share…

From  CI Center for Information Technology Policy on September 23rd, 2020 0 likes 34 plays

Princeton Lectures In Finance: "Asset Pricing and Machine Learning"

From  Broadcast Broadcast Center Staff on May 9th, 2019 0 likes 385 plays

Professor Barbara Engelhardt‘s research presentation on “ From available patient data to transforming hospitals: Machine learning for personalized healthcare”

Princeton Professor Barbara Engelhardt presented recent research at the University’s Biomedical Data Science Day, focused on models for the joint analysis of histopathological images…

From  Tracy Meyer on February 9th, 2018 0 likes 170 plays

Professor Jonathan Cohen‘s research presentation on “Understanding the Human Brain: A Reverse Engineering Challenge of Truly Cosmic Proportions."

Princeton Professor Jonathan Cohen presented recent research at the University’s Biomedical Data Science Day, focused on combining imaging of brain function (from single neurons to whole brain…

From  Tracy Meyer on February 9th, 2018 0 likes 221 plays

Professor Olga Troyanskaya’s research presentation on “Data-driven understanding of human disease."

Princeton Professor Olga Troyanskaya presented recent research at the University’s Biomedical Data Science Day, focused on a deep learning-based algorithmic framework to predict the effect of…

From  Tracy Meyer on February 8th, 2018 0 likes 214 plays

Statistics, Machine Learning and Understanding the 2016 Election - Samuel Wang Ph.D.

Dr. Wang is noted for developing statistical methods to analyze U.S. presidential election polls with unusually high accuracy. His research has been featured by the New York Times, the Wall Street…

From  Broadcast Broadcast Center Staff on November 7th, 2016 0 likes 378 plays