Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
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Sep 1, 2019 - Python
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
Robust particle filter based on dynamic averaging of multiple noise models
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
An Econometric Analysis of North Carolina Crime Data from 1987
robust optimization
Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders
A research compendium for an article published in JAS:Reports (2020), "Modern methods for old data: An overview of some robust methods for outliers detection with applications in osteology".
Robust Gaussian Process with Iterative Trimming
Defending Against Backdoor Attacks Using Robust Covariance Estimation
RStudio project utilizing various statistical methods to replicate and diagnose the findings of Appel and Loyle from their study on post-conflict justice and foreign direct investment.
This is a fork of cran/MASS with a modified rlm function that can handle complex valued data.
Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions 💊
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
Bazı konum kestiricileri hesaplanmıştır.
A robust deterministic affine-equivariant algorithm for multivariate location and scatter
A robust deterministic affine-equivariant algorithm for multivariate location and scatter - Supplemental R Code for Pokojovy & Jobe (2022) CSDA Paper
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Clustering algorithms, validations and interpretations with some robust statistic advanced topics. Real case applications. My R scripts to solve some university exams ;) - Work in progress
Code for the paper E. Raninen and E. Ollila, "Bias Adjusted Sign Covariance Matrix," in IEEE Signal Processing Letters, vol. 29, pp. 339-343, 2022, doi: 10.1109/LSP.2021.3134940.
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