Stefano Marelli: Metamodels for uncertainty quantification and reliability analysis
Abstract: Uncertainty quantification (UQ) in the context of engineering applications aims aims at quantifying the effects of uncertainty in the input parameters of ...
Centre International de Rencontres Mathématiques
Uncertainty Quantification Webinar Najm
THURSDAY, FEBRUARY 11 @ 2PM PT Uncertainty Quantification in Computational Models of Physical Systems Habib Najm, Sandia National Laboratory ...
CIG Geodynamics
Multiscale Modeling of Materials - Michael Ortiz
View more information on the DOE CSGF Program at http://www.krellinst.org/csgf The material models used in simulations are often a major source of ...
Krell Institute
Quantification of Epistemic Uncertainty on Ground Motion Models
Speaker: Frank Scherbaum.
CITRIS
Towards Bayesian Uncertainty Quantification in Deep Learning Models for Brain Tumor Segmentation
Presenters: Xun Huan, Assistant Professor, Mechanical Engineering While the use of deep learning models in healthcare has grown rapidly in recent years, the ...
University of Michigan
A Probabilistic Tool to Quantify the Effects of Variability & Model Uncertainty
Uncertainty from measurement error and parameter estimation can significantly affect the interpretation of musculoskeletal simulations; however, these effects ...
OpenSimVideos
Data Science for Uncertainty Quantification
Chapter 3 of the book, covers mostly dimension reduction.
Jef Caers
Statistical Analysis for Uncertainty Quantification and Visualization of Scientific Data
Talk by Dr. Tushar Athawale Date : 18th November 2019.
CSAChannel IISc
Fast Quantification of Uncertainty and Robustness with Variational Bayes
In Bayesian analysis, the posterior follows from the data and a choice of a prior and a likelihood. These choices may be somewhat subjective and reasonably ...
Microsoft Research
Prof Michael Goldstein - Bayesian uncertainty quantification for complex systems
Prof Michael Goldstein talks about Bayesian methods for performing detailed uncertainty analyses for complex physical systems (e.g. disease transmission or ...
Cardiff Bayes
IACS Seminar: "Uncertainty Quantification in Machine Learning" 2/7/20
Presented by Lalitha Venkataramanan, Scientific Advisor at Schlumberger. Abstract: Deep learning techniques have been shown to be extremely effective for ...
Harvard Institute for Applied Computational Science
Research Seminar: "Statistical Modeling and Uncertainty Quantification" by Prof. Ying Hung
Spring 2020 SIP Seminar Series: April 29, 2020 [http://www.inspirelab.us/seminars/] Speaker: Prof. Ying Hung Title: Statistical Modeling and Uncertainty ...
SigProcessing
Uncertainty: a view from Climate Modelling, with David Stainforth
Severe uncertainty plagues many crucial decisions in a range of areas, including climate, the economy and health. A wide range of scientific disciplines and ...
HEC Paris
04.11.2012 Verification, Validation and Uncertainty Quantification of Simulation Models .mv
04.11.2012 MIDAS Technical Webinar.
MIDASoft
Max Gunzburger: Uncertainty Quantification for Complex Systems
UQ efforts for complex systems such as those governed by partial differential equations require computationally expensive means to determine the uncertainties ...
Rotman Institute of Philosophy
Machine Learning and Computer Vision for Biological Imaging Applications - MATLAB Video
In this video, learn how to use computer vision and machine learning techniques in MATLAB® to solve practical image analysis, automation, and classification ...
MATLAB
Jeremy Oakley: Introduction to Uncertainty Quantification and Gaussian Processes - GPSS 2016
Open Data Science Initiative
Peter Qian--Some Statistical Aspects of Uncertainty Quantification
Harvard CMSA
Uncertainty Quantification of Nuclear Structure Models-Nuclear Physics Meet 2015
The purpose of the theoretical models is not only to explain current observations, but also to make predictions to be tested with the future observations.
Dr Sushil Kumar {Master apni Physics}
Explainable AI (XAI) - The Practitioners View
Presented by SGInnovate and Element AI The topic of Explainable AI is increasing in importance as practitioners seek to take the latest AI research out of the lab ...
SGInnovate
"Model Uncertainty Quantification for Data Assimilation in partially observed ..." Sahani Pathiraja
The 7th International Symposium on Data Assimilation (ISDA2019) "Model Uncertainty Quantification for Data Assimilation in partially observed Lorenz 96" The ...
計算科学eラーニングアーカイブチャンネル
Astani Dept. Seminar: Uncertainty Quantification & Dynamic State Estimation of Power Grid System
Date:Wed, Dec 01, 2010 @ 02:00 PM - 03:00 PM Speaker: Dr. Guang Lin, Scientist, Pacific Northwest National Laboratory Description: Experience suggests that ...
USCViterbi
Systematic Review and Meta analysis - All you ever need to know
Meta analysis is a very common way of bringing together data to help us decide which treatments might be best. BUT, you have to take care when interpreting ...
school of surgery
DOE CSGF 2012: Gradient-based Methods for Rapid Uncertainty Quantification in Hypersonic Flows
View more information on the DOE CSGF Program at http://www.krellinst.org/csgf Brian Lockwood University of Wyoming With the proliferation of computational ...
Krell Institute
Sankaran Mahadevan: Model Uncertainty Qualification, Verification and Validation - Research Focus 4
Sankaran Mahadevan is Professor of Civil and Environmental Engineering at Vanderbilt University www.cee.vanderbilt.edu. Dr. Mahadevan is the director of the ...
Vanderbilt University
Data Science for Public Health Summit: Data Science, Statistics, and Health
Introduction: Kiros Berhane, PhD, Chair & Professor of Biostatistics, Columbia Mailman Speaker: Robert Tibshirani, PhD, Professor of Biomedical Data Science, ...
Columbia Public Health
"An Overview of Probabilistic Programming" by Vikash K. Mansinghka
Probabilistic inference is a widely-used, rigorous approach for processing ambiguous information based on models that are uncertain or incomplete. However ...
Strange Loop
Quantify Your Hunt: Not Your Parents’ Red Team - SANS Threat Hunting Summit 2018
The security marketplace is saturated with product claims of detection coverage that have been almost impossible to evaluate, all while intrusions continue to ...
SANS Digital Forensics and Incident Response
Introduction to meta-analysis, Joshua R. Polanin
Presentation by Josh Polanin, Managing Editor of the Campbell Methods Coordinating Group recorded at the 2013 Campbell Colloquium in Chicago. Find out ...
The Campbell Collaboration
Efficient Surrogate Model Generation
Surrogate models, by constructing simpler functional approximations of complex and computationally expensive models, allow the use of traditional optimization ...
APMonitor.com
You want to quantify that?! The science and metrics of partner engagement in research
You want to quantify that?! The science and metrics of partner engagement in research Air date: Wednesday, December 18, 2019, 3:00:00 PM Category: WALS ...
NIH VideoCast
8. RNA-sequence Analysis: Expression, Isoforms
MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: David Gifford This ...
MIT OpenCourseWare
Fractals in Neurosciences by Dr. Antonio Di Ieva
October 2013 release of St. Michael's Popular Science presentation series.
St. Michael's Hospital
Part 01: Overview of General Biostatistics
This program provides state-of-the-art information on epidemiology and research methods for those working in administrative, clinical and research areas.
UW Video
Accessories and Techniques for FT-IR Sample Analysis
Presented At: LabRoots - Analytical Chemistry Virtual Event 2018 Presented By: Richard Larsen, PhD - Senior Product Specialist, Anton Paar USA Speaker ...
LabRoots
Population Pharmacokinetics - Module 2, Session 5
Population Pharmacokinetics - Module 2, Session 5 with Dr. Robert Bies This is Module 2, Session 5, of the NIH Clinical Center's "Principles of Clinical ...
NIH Clinical Center
19. Discovering Quantitative Trait Loci (QTLs)
MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: David Gifford This ...
MIT OpenCourseWare
Gianluca Iaccarino: "Uncertainty Quantification in the Prediction of Turbulent Flows"
Seminar by Dr.Gianluca Iaccarino on "Uncertainty Quantification in the Prediction of Turbulent Flows" on 03/08/2018 CICS Seminar Series.
Scientific Computing and Artificial Intelligence
Professor Mark Girolami: "Probabilistic Numerical Computation: A New Concept?"
The Turing Lectures: The Intersection of Mathematics, Statistics and Computation - Professor Mark Girolami: "Probabilistic Numerical Computation: A New ...
The Alan Turing Institute
An Automated Cancer Organoid Culture Platform to Accelerate Research and Drug Screening
Presented By: Brooke Schuster Speaker Biography: Brooke completed a BS in Integrative Biology Honors and Chemistry at the University of Illinois ...
LabRoots
Jupyter Notebooks and Pre-recorded Datasets for Threat Hunting - SANS THIR Summit 2019
How many times have you thought about a more efficient, intuitive, or creative way to analyze the security events your organization collects, but feel limited to the ...
SANS Digital Forensics and Incident Response
5 GSIF course: Uncertainty quantification and propagation
Slides and data sets available at: http://www.isric.org/training/hands-global-soil-information-facilities-2015 Recordings and video production by: Joris van der ...
ISRIC — World Soil Information
