❗ This is a modified version of the CRAN R package repository. bife — Binary Choice Models with Fixed Effects
-
Updated
May 9, 2018 - R
❗ This is a modified version of the CRAN R package repository. bife — Binary Choice Models with Fixed Effects
Tackling Gender and Race bias in Word Embeddings
Third Scientific Initiation developed during the graduation at UEM
Short description for quick search
Examples of unfairness detection for a classification-based credit model
The AssayCorrector eliminates spatial bias in HTS assays using PMP methods.
Machine Learning Bias Exploration
Computation and visualization of standardized mean differences from simulated data
Novel ultrafast suite for high-throughput & high-content multiparameter screening as in drug discovery. It has unique modules for QC, bias correction, similarity measurement, clustering and visualization. It can process hundreds of samples with many markers in a few hours not days & circumvents bath effect. It couples with any plate reader.
Indirect inference bias correction for nonlinear panel
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Master thesis: Exploring bias in German NLG (GPT-3 & GerPT-2). Applies regard classification and bias mitigation triggers.
A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.
R code for generating the projected 15-min precipitation.
Climate Data Bias Corrector: A tool to bias correct the Global Climate Model (GCM)/ Regional Climate Model (RCM) simulated future climatic daily projections.
This repository contains the main ResNet backbone experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".
This repository contains the firth bias reduction experiments on the few-shot distribution calibration method conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".
Magnetic Resonance Imaging data processing pipelines with a strong emphasis on the diffusion weighted MRI (DWI) modality and tractogram estimation
Deep Learning Convolutional Neural Network (CNN) using PyTorch and train it to recognize five different classes: (1) Person without a face mask, (2) Person with a “community” (cloth) face mask, (3) Person with a “surgical” (procedural) mask, (4) Person with a “FFP2/N95/KN95”-type mask (you do not have to distinguish between them), and (5) Person…
Machine Learning Bias Mitigation
Add a description, image, and links to the bias-correction topic page so that developers can more easily learn about it.
To associate your repository with the bias-correction topic, visit your repo's landing page and select "manage topics."