26 citations · 86 across the 28 of their papers we have counts for
4 papers · 1 filter
Drift-Aware Multi-Memory Model for Imbalanced Data Streams
Amir Abolfazli, Eirini Ntoutsi
Online class imbalance learning deals with data streams that are affected by both concept drift and class imbalance. Online learning tries to find a trade-off between exploiting pr…
FairNN- Conjoint Learning of Fair Representations for Fair Decisions
Tongxin Hu, Vasileios Iosifidis, Wentong Liao +4
In this paper, we propose FairNN a neural network that performs joint feature representation and classification for fairness-aware learning. Our approach optimizes a multi-objectiv…
FAE: A Fairness-Aware Ensemble Framework
Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi
Automated decision making based on big data and machine learning (ML) algorithms can result in discriminatory decisions against certain protected groups defined upon personal data…
Bias in Data-driven AI Systems -- An Introductory Survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20
AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…