Saved in:
| Main Authors: | Gottard, Anna, Verrina, Vanessa, Giordano, Sabrina |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.05810 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks
by: Boubekraoui, Maryam, et al.
Published: (2026)
by: Boubekraoui, Maryam, et al.
Published: (2026)
Adaptive Uncertainty-Aware Tree Search for Robust Reasoning
by: Song, Zeen, et al.
Published: (2026)
by: Song, Zeen, et al.
Published: (2026)
FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025)
by: Cohen-Inger, Nurit, et al.
Published: (2025)
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
by: Wang, Yinong Oliver, et al.
Published: (2025)
by: Wang, Yinong Oliver, et al.
Published: (2025)
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification
by: Song, Xiaobin, et al.
Published: (2024)
by: Song, Xiaobin, et al.
Published: (2024)
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising
by: Szandala, Tomasz, et al.
Published: (2025)
by: Szandala, Tomasz, et al.
Published: (2025)
Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations
by: Ezzeddine, Fatima, et al.
Published: (2026)
by: Ezzeddine, Fatima, et al.
Published: (2026)
Courtroom Analogy: New Perspective on Uncertainty-Aware Classification
by: Yoon, Taeseong, et al.
Published: (2026)
by: Yoon, Taeseong, et al.
Published: (2026)
Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
by: Chen, Haishun, et al.
Published: (2025)
by: Chen, Haishun, et al.
Published: (2025)
FairQuant: Fairness-Aware Mixed-Precision Quantization for Medical Image Classification
by: Woergaard, Thomas, et al.
Published: (2026)
by: Woergaard, Thomas, et al.
Published: (2026)
Safe Fairness Guarantees Without Demographics in Classification: Spectral Uncertainty Set Perspective
by: Barrainkua, Ainhize, et al.
Published: (2026)
by: Barrainkua, Ainhize, et al.
Published: (2026)
FairGLVQ: Fairness in Partition-Based Classification
by: Störck, Felix, et al.
Published: (2024)
by: Störck, Felix, et al.
Published: (2024)
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
by: Rosenblatt, Lucas, et al.
Published: (2024)
by: Rosenblatt, Lucas, et al.
Published: (2024)
Preliminary Investigation into Uncertainty-Aware Attack Stage Classification
by: Gaudenzi, Alessandro, et al.
Published: (2025)
by: Gaudenzi, Alessandro, et al.
Published: (2025)
FeDABoost: Fairness Aware Federated Learning with Adaptive Boosting
by: Arachchige, Tharuka Kasthuri, et al.
Published: (2025)
by: Arachchige, Tharuka Kasthuri, et al.
Published: (2025)
Uncertainty-based Fairness Measures
by: Kuzucu, Selim, et al.
Published: (2023)
by: Kuzucu, Selim, et al.
Published: (2023)
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
by: Ashhad, Mohd, et al.
Published: (2025)
by: Ashhad, Mohd, et al.
Published: (2025)
A Bayesian Framework for Uncertainty-Aware Explanations in Power Quality Disturbance Classification
by: Chen, Yinsong, et al.
Published: (2026)
by: Chen, Yinsong, et al.
Published: (2026)
Fairness in LLM-Generated Surveys
by: Abeliuk, Andrés, et al.
Published: (2025)
by: Abeliuk, Andrés, et al.
Published: (2025)
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling
by: Liu, Tom, et al.
Published: (2025)
by: Liu, Tom, et al.
Published: (2025)
Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2026)
by: Sah, Chandan Kumar, et al.
Published: (2026)
Uncertainty-Aware Extrapolation in Bayesian Oblique Trees
by: Andonovikj, Viktor, et al.
Published: (2026)
by: Andonovikj, Viktor, et al.
Published: (2026)
ELC: Evidential Lifelong Classifier for Uncertainty Aware Radar Pulse Classification
by: Rabie, Mohamed, et al.
Published: (2026)
by: Rabie, Mohamed, et al.
Published: (2026)
Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification
by: Li, Yuqi, et al.
Published: (2026)
by: Li, Yuqi, et al.
Published: (2026)
Fair Uncertainty Quantification for Depression Prediction
by: Li, Yonghong, et al.
Published: (2025)
by: Li, Yonghong, et al.
Published: (2025)
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
by: Manas, Kumar, et al.
Published: (2025)
by: Manas, Kumar, et al.
Published: (2025)
Minimax Group Fairness in Strategic Classification
by: Diana, Emily, et al.
Published: (2024)
by: Diana, Emily, et al.
Published: (2024)
On the Power of Randomization in Fair Classification and Representation
by: Agarwal, Sushant, et al.
Published: (2024)
by: Agarwal, Sushant, et al.
Published: (2024)
FairML: A Julia Package for Fair Classification
by: Burgard, Jan Pablo, et al.
Published: (2024)
by: Burgard, Jan Pablo, et al.
Published: (2024)
Synthetic CVs To Build and Test Fairness-Aware Hiring Tools
by: Saldivar, Jorge, et al.
Published: (2025)
by: Saldivar, Jorge, et al.
Published: (2025)
Counterfactual Fairness with Graph Uncertainty
by: Valério, Davi, et al.
Published: (2026)
by: Valério, Davi, et al.
Published: (2026)
Individual Fairness In Strategic Classification
by: Zuo, Zhiqun, et al.
Published: (2026)
by: Zuo, Zhiqun, et al.
Published: (2026)
Geometric Calibration and Neutral Zones for Uncertainty-Aware Multi-Class Classification
by: Das, Soumojit, et al.
Published: (2025)
by: Das, Soumojit, et al.
Published: (2025)
Fairness-Aware Estimation of Graphical Models
by: Zhou, Zhuoping, et al.
Published: (2024)
by: Zhou, Zhuoping, et al.
Published: (2024)
Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation
by: Weatherhead, Addison, et al.
Published: (2025)
by: Weatherhead, Addison, et al.
Published: (2025)
Back to Supervision: Boosting Word Boundary Detection through Frame Classification
by: Carnemolla, Simone, et al.
Published: (2024)
by: Carnemolla, Simone, et al.
Published: (2024)
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking
by: Smit, Igor G., et al.
Published: (2024)
by: Smit, Igor G., et al.
Published: (2024)
Fair Classification by Direct Intervention on Operating Characteristics
by: Jiang, Kevin, et al.
Published: (2025)
by: Jiang, Kevin, et al.
Published: (2025)
Rule Generation for Classification: Scalability, Interpretability, and Fairness
by: Röber, Tabea E., et al.
Published: (2021)
by: Röber, Tabea E., et al.
Published: (2021)
Similar Items
-
A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks
by: Boubekraoui, Maryam, et al.
Published: (2026) -
Adaptive Uncertainty-Aware Tree Search for Robust Reasoning
by: Song, Zeen, et al.
Published: (2026) -
FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025) -
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
by: Wang, Yinong Oliver, et al.
Published: (2025) -
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification
by: Song, Xiaobin, et al.
Published: (2024)