Data valuation is a ML field that studies the value of training instance...
When conducting user studies to ascertain the usefulness of model
explan...
Evaluating new techniques on realistic datasets plays a crucial role in ...
Anti-money laundering (AML) regulations mandate financial institutions t...
Machine Learning (ML) algorithms based on gradient boosted decision tree...
In recent years, machine learning algorithms have become ubiquitous in a...
Human-AI collaboration (HAIC) in decision-making aims to create synergis...
The unparalleled ability of machine learning algorithms to learn pattern...
Machine Learning (ML) models now inform a wide range of human decisions,...
Concept-based explanations aims to fill the model interpretability gap f...
In ML-aided decision-making tasks, such as fraud detection or medical
di...
Considerable research effort has been guided towards algorithmic fairnes...
There have been several research works proposing new Explainable AI (XAI...
Recurrent neural networks are a standard building block in numerous mach...
Machine Learning (ML) has been increasingly used to aid humans to make b...
Considerable research effort has been guided towards algorithmic fairnes...
Recent work has raised concerns on the risk of unintended bias in algori...
E-commerce platforms facilitate sales of products while product vendors
...
Entity-Relationship (E-R) Search is a complex case of Entity Search wher...
Online Reputation Monitoring (ORM) is concerned with the use of computat...
This paper describes a preliminary study for producing and distributing ...
This paper presents the approach developed at the Faculty of Engineering...
This work proposes a novel framework for the development of new products...
Social Media users tend to mention entities when reacting to news events...