activity
20182022
most citedAdaFair: Cumulative Fairness Adaptive Boosting

61 citations · 200 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.AI2020

A Data-driven Human Responsibility Management System

Xuejiao Tang, Jiong Qiu, Ruijun Chen +6

An ideal safe workplace is described as a place where staffs fulfill responsibilities in a well-organized order, potential hazardous events are being monitored in real-time, as wel…

eess.IV2020★ 7 cited

Using Machine Learning to Automate Mammogram Images Analysis

Xuejiao Tang, Liuhua Zhang, Wenbin Zhang +6

Breast cancer is the second leading cause of cancer-related death after lung cancer in women. Early detection of breast cancer in X-ray mammography is believed to have effectively…

cs.LG2020★ 3 cited

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…

cs.AI2020

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…

cs.CY2020★ 22 cited

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…