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ensembleshapley

fairmc

FairMC is a fair rank aggregation approach based on Markov Chains. By modifying the transition matrix and enforcing fairness in the transition probabilities across the protected and unprotected groups, fairMC guarantees fairness in the representation of the items at the consensus ranking level.

fsfc

geneset_sv

Reference implementation of the paper Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis

rankingsevalmetrics

rankingsevalumetrics

slidshapseries

unsupervised_sv

Reference implementation of the paper Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data