Fairness-aware mining of massive data streams is a growing and challengi...
Class imbalance poses a major challenge for machine learning as most
sup...
Data-driven AI systems can lead to discrimination on the basis of protec...
As decision-making increasingly relies on machine learning and (big) dat...
Data-driven learning algorithms are employed in many online applications...
Fairness-aware machine learning for multiple protected at-tributes (refe...
Recent studies in big data analytics and natural language processing dev...
An ideal safe workplace is described as a place where staffs fulfill
res...
Breast cancer is the second leading cause of cancer-related death after ...
In this paper, we propose FairNN a neural network that performs joint fe...
Automated decision making based on big data and machine learning (ML)
al...
AI-based systems are widely employed nowadays to make decisions that hav...
The widespread use of ML-based decision making in domains with high soci...
In this paper we present the Simple-ML framework that we develop to supp...
The wide spread usage of automated data-driven decision support systems ...
How did the popularity of the Greek Prime Minister evolve in 2015? How d...
Publicly available social media archives facilitate research in a variet...
Entity relatedness has emerged as an important feature in a plethora of
...