misclassification

👋 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.

Occupancy models that account for misclassifications.

🏆 VAST Mini-Challenge 2 Award: Detailed Analysis of Patterns of Misclassification (Honorable Mention)

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

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)

Outcome misclassification in a simulated randomized controlled trial

GeneErrorMis: R Package of Addressing Measurement Error and Misclassification in Bivariate Response Models

Coursework People Analytics - Misclassified Cases of a ML model

Machine Learning: Group Project

Selection and Misclassification Biases in Longitudinal Studies

R and Python packages for decision curve analysis when the outcome is recorded with error: bias formulas, bounds and tipping points, probabilistic bias analysis, and chart review estimation and design. Includes all code and open data to reproduce the paper.

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.