PPT-Overcoming Dataset Bias:

An Unsupervised Domain Adaptation Approach Boqing Gong University of Southern California Joint work with Fei Sha and Kristen Grauman 1 Motivation Vision datasets. This . material . was supported with funds from the National Science Foundation ADVANCE Institutional Transformation grant #0810927. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National . James B. Reilly MD, MS, FACP. Diagnostic Errors in Medicine. Objectives. Describe a longitudinal curriculum for internal medicine residents in cognitive bias and diagnostic error. Present our educational outcomes. Professor john a. powell. Executive Director, Haas Institute for a Fair and Inclusive Society. Robert D. Haas Chancellor’s Chair in Equity and Inclusion. University of California, Berkeley. Healing History Conference| . Biased measure of association due to incorrect categorization.. Diseased. Not Diseased. Exposed. Not Exposed. The Correct Classification. Observation Bias (Information Bias). Biased measure of association due to incorrect categorization.. Joan T. Schmelz . University of Memphis. Big Thanks:. -Abigail Stewart (Univ. of Mich.). -Meg Urry (Yale Univ.). Slides. R. eferences. Information. Plenary Talk for the AAS Winter meeting in Seattle?. How does the media shape our opinions?. Essential Questions?. What is “bias”? Is bias inherent in the news media?. What can news consumers do about bias in the news?. How does freedom of the press function in today’s society?. Selection bias Information bias Confounding bias Bias is an error in an epidemiologic study that results in an incorrect estimation of the association between exposure and outcome. Is present when th 1. . Bell-ringer. A fight between two girls broke out in the hallway last period. The principal asked those who witnessed the fight to report what happened. . The witnesses included:. the best friend of one of the students who fought,. What do you already know about bias?. What is bias anyway?. Favoring one side, position, or belief – being partial, prejudiced,. Bias vs. Propaganda. Bias …. is prejudice;  a preconceived judgment or an opinion formed without just grounds or sufficient knowledge . . IT434 Data Warehouse and Data Mining course,. Department of Information Technology . College of Computer and Information Sciences . Muna Al-. Razgan. , PhD. Outline. Introduction. Motivation. Project Objectives. What is bias anyway?. Favoring one side, position, or belief – being partial, prejudiced,. Bias vs. Propaganda. Bias …. is prejudice;  a preconceived judgment or an opinion formed without just grounds or sufficient knowledge . Ian Turnipseed. Introduction:. What are SCADA systems?. Supervisory Control and Data Acquisition (SCADA) is a real-time system providing control to remote physical systems.. They also provide . monitoring and visualization of . The most commonly discussed forms of bias occur when the media support or attack a particular political party, candidate, or ideology, but other common forms of bias include:. Advertising bias. , when stories are selected or slanted to please advertisers.. Theme Lead and Dataset Manger Roles and Responsibilities, and the ‘Investment Collaboration Process’. DRAFT. Agenda. Portfolio Management implementation overview. What is a National Geospatial Data Asset (NGDA) Theme?.