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22 Jun 2017
Cold Call Podcast

ShotSpotter: A Gunfire Detection Business Looks for a New Market

Keywords: Re: Mitchell B. Weiss; Technology

2023
Working Paper

Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach

By: Alberto Cavallo and Gaston Garcia Zavaleta

We combine standard structural-break methods with high-frequency data to identify shifts in inflation trends. We use this approach to study the inflation dynamics of 25 countries from January 2022 to April 2023 and find evidence of a broad-based slowdown in about half... View Details

Keywords: Inflation and Deflation; Global Range; Economic Slowdown and Stagnation; Analysis; Price

2023
Article

Provable Detection of Propagating Sampling Bias in Prediction Models

By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill

With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details

December 1979
Article

Evaluating and Comparing Projects: Simple Detection of False Alarms

By: John S. Hammond and John W. Pratt

Keywords: Performance Evaluation

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June 2016
Article

Detecting Figures and Part Labels in Patents: Competition-based Development of Graphics Recognition Algorithms

By: Christoph Riedl, Richard Zanibbi, Marti A. Hearst, Siyu Zhu, Michael Menietti, Jason Crusan, Ivan Metelsky and Karim R. Lakhani

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Article

Organization of Information and the Detection of Gender Discrimination

By: C. Rutte, T. Diekmann, J. Polzer, F. Crosby and D. Messick

Keywords: Information; Groups and Teams; Gender

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2021
Working Paper

Detecting Anomalous Patterns of Care Using Health Insurance Claims

By: Sriram Somanchi, Edward McFowland III and Daniel B. Neill

November 2004
Article

True or False? Lie Detection at the Bargaining Table

By: Michael Wheeler

Keywords: Negotiation

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Article

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin

Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details

Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning

2023
Working Paper

Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection

By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill

In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details

Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects

2018
Working Paper

Detecting Anomalies: The Relevance and Power of Standard Asset Pricing Tests

By: Malcolm Baker, Patrick Luo and Ryan Taliaferro

The two standard approaches for identifying capital market anomalies are cross-sectional coefficient tests, in the spirit of Fama and MacBeth (1973), and time-series intercept tests, in the spirit of Jensen (1968). A new signal can pass the first test, which we label a... View Details

Keywords: Investment Management; Anomalies; Portfolio Construction; Transaction Costs; Investment; Management; Asset Pricing; Market Transactions; Cost

Article

Multivoxel Patterns in Face-sensitive Temporal Regions Reveal an Encoding Schema Based on Detecting Life in a Face

By: Christine E. Looser, J. Swaroop Guntupalli and Thalia Wheatley

More than a decade of research has demonstrated that faces evoke prioritized processing in a 'core face network' of three brain regions. However, whether these regions prioritize the detection of global facial form (shared by humans and mannequins) or the detection of... View Details

Keywords: Brain Imaging; Social Psychology; Mind Perception; Identity; Science; Cognition and Thinking

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2020
Conference Presentation

A Performance-optimized Limb Detection Model Selectively Predicts Behavioral Responses Based on Movement Similarity

By: X. Zhao, J. De Freitas, L. Tarhan and G. A. Alvarez

May 2006
Article

Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models

By: Scott Neslin, Sunil Gupta, Wagner Kamakura, Junxiang Lu and Charlotte Mason

Keywords: Measurement and Metrics; Forecasting and Prediction; Customers

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May 18, 2012
Article

Randomized Government Safety Inspections Reduce Worker Injuries with No Detectable Job Loss

By: David I Levine, Michael W. Toffel and Matthew S. Johnson

Controversy surrounds occupational health and safety regulators, with some observers claiming that workplace regulations damage firms' competitiveness and destroy jobs and others arguing that they make workplaces safer at little cost to employers and employees. We... View Details

Keywords: Regulation; Occupational Safety; Evaluation; Regression; Matching; Difference In Differences; Safety; Health; Working Conditions; Governing Rules, Regulations, and Reforms; Competitive Advantage; Performance; Manufacturing Industry; California

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Article

Fast Subset Scan for Multivariate Spatial Biosurveillance

By: Daniel B. Neill, Edward McFowland III and Huanian Zheng

We present new subset scan methods for multivariate event detection in massive space-time datasets. We extend the recently proposed 'fast subset scan' framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time... View Details

Keywords: Algorithms; Disease Surveillance; Event Detection; Scan Statistics; Spatial Scan

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2016
Article

Penalized Fast Subset Scanning

By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill

We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details

Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods

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1979
Chapter

Learning from Mistakes Is Easier Said than Done: Group and Organization Influences on the Detection and Correction of Human Error

By: A. Edmondson

Keywords: Learning; Perception; Attitudes; Groups and Teams; Organizational Culture; Power and Influence

Article

Learning from Mistakes Is Easier Said than Done: Group and Organization Influences on the Detection and Correction of Human Error

By: A. Edmondson

Keywords: Learning; Groups and Teams; Organizations

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October 2008
Case

Diagnostic Genomics

By: Regina E. Herzlinger and Mark P. Allyn

Should this gene detection firm enter the business of providing tests for the detection of genetic diseases? If so, how should it prioritize the tests it could develop? View Details

Keywords: Health Testing and Trials; Market Entry and Exit; Product Development; Genetics; Strategy; Health Industry; Medical Devices and Supplies Industry

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