Search for tag: "machine learning"

8 Media

02:59 Machine Learning-Based Cell Segmentation Enables… Machine Learning-Based Cell Segmentation Enables Spatial Single-Cell Analysis of the Tumor Immune Microenvironment, Jasper Lee, UG '21 (2308192)	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… spatial immunology cancer immunology cancer biology codex machine learning cell segmentation prd21 cell analysis cells image microenvironment tumor cementation pipeline downstream segmentation method types resolution summation machine therapy amino projects analogy fi From Research Princeton Research Day on April 29th, 2021 1 likes 42 plays Speaker Jasper Lee, UG '21 Department Molecular Biology
03:00 An ultra-high spatial resolution multi-spectral… An ultra-high spatial resolution multi-spectral macro-imager for geological samples, Devdigvijay Singh, UG '24 (2263070)	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… paleoclimatology macrophotography image deconvolution machine learning computer vision prd21 images rgb techniques image wavelengths rock layer climate samples differentiation cement crack study imaging learning focus uv applications machine greenstone From Research Princeton Research Day on April 29th, 2021 2 likes 108 plays Speaker Devdigvijay Singh, UG '24 Department Mechanical and Aerospace Engineering
59:31 CITP Seminar: Raluca Ada Popa – Towards a… CITP Seminar: Raluca Ada Popa – Towards a Secure Collaborative Learning Platform	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… algorithm algorithms aggregate data machine learning captions_11_4_2020 From CI Center for Information Technology Policy on September 23rd, 2020 0 likes 35 plays Date September 22nd, 2020 Speaker Raluca Ada Popa Department CITP Location Webinar
01:19:07 Princeton Lectures In Finance: "Asset… Princeton Lectures In Finance: "Asset Pricing and Machine Learning"	Princeton Lectures In Finance: "Asset Pricing and Machine Learning" princeton lectures in finance stefan nagel machine learning From Broadcast Broadcast Center Staff on May 9th, 2019 0 likes 419 plays Date May 2nd, 2019 Speaker Stefan Nagel Location A71 Louis Simpson
26:55 Professor Barbara Engelhardt‘s research… Professor Barbara Engelhardt‘s research presentation on “ From available patient data to transforming hospitals: Machine learning for personalized healthcare”	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… machine learning computer science genomics human genomics healthcare From Tracy Meyer on February 9th, 2018 0 likes 173 plays Date October 25th, 2017 Speaker Assistant Professor Barbara Engelhardt Department Computer Science Location Friend Center
29:20 Professor Jonathan Cohen‘s research… Professor Jonathan Cohen‘s research presentation on “Understanding the Human Brain: A Reverse Engineering Challenge of Truly Cosmic Proportions."	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… princeton neuroscience institute neuroscience psychology machine learning computer science data science computational biology From Tracy Meyer on February 9th, 2018 0 likes 225 plays Date October 25th, 2017 Speaker Professor Jonathan D. Cohen Department Psychology, Neuroscience and the Princeton Neuroscience Institute Location Friend Center
31:15 Professor Olga Troyanskaya’s research… Professor Olga Troyanskaya’s research presentation on “Data-driven understanding of human disease."	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… computer science neuroscience machine learning computational biology genomics human genomics From Tracy Meyer on February 8th, 2018 0 likes 216 plays Date October 25th, 2017 Speaker Olga Troyanskaya Department Computer Science and the Lewis-Sigler Institute for Integrative Genomics Location Friend Center
01:02:23 Statistics, Machine Learning and Understanding… Statistics, Machine Learning and Understanding the 2016 Election - Samuel Wang Ph.D.	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… samuel wang election statistics machine learning pacm From Broadcast Broadcast Center Staff on November 7th, 2016 0 likes 379 plays Date November 7th, 2016 Speaker Samuel Wang, Ph.D. Department APC-Applied & Comp Math Location 214 Fine Hall