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Found 8 papers, 4 papers with code
Properties of fairness measures in the context of varying class imbalance and protected group ratios
In this paper, we study the general properties of fairness measures for changing class and protected group proportions.
ART: Actually Robust Training
Current interest in deep learning captures the attention of many programmers and researchers.
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
In drug discovery, mapping interactions between genes within cellular systems is a crucial early step.
Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings
To this end, recent research has shown that TOPSIS aggregations can be expressed using the means (M) and standard deviations (SD) of alternatives, creating MSD-space, a tool for visualizing and explaining aggregations.
confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning
Machine learning applications, especially in the fields of me\-di\-cine and social sciences, are slowly being subjected to increasing scrutiny.
Random Similarity Forests
The proposed algorithm, called Random Similarity Forest, uses multiple domain-specific distance measures to combine the predictive performance of Random Forests with the flexibility of Similarity Forests.
Fibonacci and k-Subsecting Recursive Feature Elimination
However, finding a subset of features that is optimal in terms of predictive accuracy is usually computationally intractable.
