Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift
Detection with Expensive Labels

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Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels

25 June 2018

José C. Príncipe

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Papers citing "Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels"

8 / 8 papers shown

Title
Feature Shift Localization Network Míriam Barrabés D. M. Montserrat Kapal Dev A. Ioannidis OOD 49 0 0 10 Jun 2025
Interpretable Model Drift Detection Pranoy Panda Kancheti Sai Srinivas V. Balasubramanian Gaurav Sinha 212 1 0 09 Mar 2025
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data Feng Gu Jie Lu Zhen Fang Kun Wang Guangquan Zhang 65 0 0 23 May 2024
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence J. Lobo I. Laña E. Osaba Javier Del Ser 58 1 0 14 Mar 2023
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests Sean Kulinski S. Bagchi David I. Inouye OOD 79 31 0 14 Jul 2021
MLDemon: Deployment Monitoring for Machine Learning Systems Antonio A. Ginart Martin Jinye Zhang James Zou 135 20 0 28 Apr 2021
Learning under Concept Drift: A Review Jie Lu Anjin Liu Fan Dong Feng Gu João Gama Guangquan Zhang AI4TS 93 1,295 0 13 Apr 2020
Automatic Model Monitoring for Data Streams Fábio Pinto Marco O. P. Sampaio P. Bizarro AI4TS 63 20 0 12 Aug 2019