https://openreview.net/forum?id=lBhRTO2uWf
Adversarial Learning for Feature Shift Detection and Correction | OpenReview
Data shift is a phenomenon present in many real-world applications, and while there are multiple methods attempting to detect shifts, the task of localizing...
adversarial learningshift detectionfeaturecorrectionopenreview
https://neurips.cc/virtual/2020/protected/poster_e2d52448d36918c575fa79d88647ba66.html
NeurIPS 2020 : Feature Shift Detection: Localizing Which Features Have Shifted via Conditional...
neurips 2020shift detection
https://openreview.net/forum?id=jps9KkuSD3
Sequential Harmful Shift Detection Without Labels | OpenReview
We introduce a novel approach for detecting distribution shifts that negatively impact the performance of machine learning models in continuous production...
shift detectionsequentialharmfulwithoutlabels
https://www.jmp.com/support/help/14-1/statistical-details-for-shift-detection.shtml
Statistical Details for Shift Detection
for shiftstatisticaldetailsdetection
https://arxiv.org/abs/2504.03180
[2504.03180] Optical detection of charge defects near a graphene transistor using the Stark shift...
Abstract page for arXiv paper 2504.03180: Optical detection of charge defects near a graphene transistor using the Stark shift of fluorescent molecules
https://r2az56p7ji.ap-northeast-1.awsapprunner.com/
Space Shift Flood Detection ALOS-2 API
alos 2spaceshiftflooddetection
https://www.getapp.com/finance-accounting-software/a/shift-claims-fraud-detection/alternatives/
Shift Claims Fraud Detection Alternatives, Competitors & Similar Software | GetApp 2026
View a list of 20 apps like Shift Claims Fraud Detection and compare alternatives on GetApp. See if the competition offers the features you need, at the price...
fraud detectionshiftclaimsalternativescompetitors
https://openreview.net/forum?id=fYqugMZB0fA&referrer=%5Bthe%20profile%20of%20Mark%20D%20Plumbley%5D(%2Fprofile%3Fid%3D~Mark_D_Plumbley1)
Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection under Domain-Shift Conditions |...
The goal of Unsupervised Anomaly Detection (UAD) is to detect anomalous signals under the condition that only non-anomalous (normal) data is available...