Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation

24 November 2022

Papers citing "Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation"

23 / 23 papers shown

Title
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 41 0 0 17 Apr 2025
Fair-OBNC: Correcting Label Noise for Fairer Datasets Ines Oliveira e Silva Sérgio Jesus Hugo Ferreira Pedro Saleiro Inês Sousa P. Bizarro Carlos Soares 15 0 0 08 Oct 2024
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift Oscar Blessed Deho Michael Bewong Selasi Kwashie Jiuyong Li Jixue Liu Lin Liu Srecko Joksimovic FaML 16 0 0 19 Sep 2024
RIFF: Inducing Rules for Fraud Detection from Decision Trees Joao Lucas Martins Joao Bravo Ana Sofia Gomes Carlos Soares P. Bizarro 18 0 0 23 Aug 2024
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice Yang Lu Felix Zhan 26 1 0 15 Aug 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 29 1 0 03 Jul 2024
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework Ruibo Tu Zineb Senane Lele Cao Cheng Zhang Hedvig Kjellström G. Henter CML 38 4 0 12 Jun 2024
Aequitas Flow: Streamlining Fair ML Experimentation Sérgio Jesus Pedro Saleiro Ines Oliveira e Silva Beatriz M. Jorge Rita P. Ribeiro João Gama P. Bizarro Rayid Ghani 21 2 0 09 May 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang Peikun Guo Khadija Zanna Akane Sano Xiaoxue Yang Akane Sano DiffM 34 8 0 12 Apr 2024
On Ranking-based Tests of Independence Myrto Limnios Stéphan Clémençon 49 0 0 12 Mar 2024
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints Jean V. Alves Diogo Leitao Sérgio Jesus Marco O. P. Sampaio Javier Liébana Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 30 5 0 11 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 42 9 0 04 Mar 2024
A Note on Bias to Complete Jia Xu Mona Diab 39 2 0 18 Feb 2024
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action Emanuele Luzio M. Ponti Christian Ramirez Luis Argerich 14 0 0 10 Jan 2024
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection Tomisin Awosika R. Shukla Bernardi Pranggono 9 33 0 20 Dec 2023
FiFAR: A Fraud Detection Dataset for Learning to Defer Jean V. Alves Diogo Leitao Sérgio Jesus Marco O. P. Sampaio Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 17 0 0 20 Dec 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 19 19 0 25 Oct 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings Klim Kireev Maksym Andriushchenko Carmela Troncoso Nicolas Flammarion OOD 27 1 0 06 Jun 2023
Fairness-Aware Data Valuation for Supervised Learning José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro TDI 21 3 0 29 Mar 2023
FairGBM: Gradient Boosting with Fairness Constraints André F. Cruz Catarina Belém Sérgio Jesus Joao Bravo Pedro Saleiro P. Bizarro 13 22 0 16 Sep 2022
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication A. Luccioni Frances Corry H. Sridharan Mike Ananny J. Schultz Kate Crawford 38 28 0 18 Oct 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 118 196 0 16 Feb 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 233 486 0 31 Dec 2020