👋 Influenciae is a Tensorflow Toolbox for Influence Functions
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Updated
Aug 24, 2026 - Python
👋 Influenciae is a Tensorflow Toolbox for Influence Functions
Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et al.
🏆 VAST Mini-Challenge 2 Award: Detailed Analysis of Patterns of Misclassification (Honorable Mention)
Occupancy models that account for misclassifications.
Sampling Strategies to Control Misclassification Bias in Longitudinal Udder Health Studies: Moved to codeberg.org/dhaine/misclass
Goodness-of-fit tests for categorical response models
GeneErrorMis: R Package of Addressing Measurement Error and Misclassification in Bivariate Response Models
Outcome misclassification in a simulated randomized controlled trial
Code for simulation studies in "An approximate quasi-likelihood approach for error-prone failure time outcomes and exposures", Boe et al. (2021) (https://doi.org/10.1002/sim.9108)
Coursework People Analytics - Misclassified Cases of a ML model
Selection and Misclassification Biases in Longitudinal Studies
Machine Learning: Group Project
Plotting effect of bias, from Copeland et al., 1977 and Flegal et al., 1986 papers
Exploring which cat breeds are most frequently misclassified as dogs by CNN models.
[ICPR'26] Explaining the causes of misclassification in images and proposing new evaluation metrics
Detect AI-generated images and photo edits offline using multi-dimensional analysis and error level detection in a Chrome extension.
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