Adversarial attacks are a major concern in security-centered application...
Machine learning methods to aid defence systems in detecting malicious
a...
Many real-world datasets have an underlying dynamic graph structure, whe...
Data valuation is a ML field that studies the value of training instance...
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...
Monitoring the behavior of automated real-time stream processing systems...
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...
Machine learning on data streams is increasingly more present in multipl...
Money laundering is a global problem that concerns legitimizing proceeds...
Labeled data is essential in modern systems that rely on Machine Learnin...
Some mission critical systems, e.g., fraud detection, require accurate,
...
In ML-aided decision-making tasks, such as fraud detection or medical
di...
Considerable research effort has been guided towards algorithmic fairnes...
Money laundering is a global phenomenon with wide-reaching social and
ec...
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...
Bank transaction fraud results in over 13B annual losses for banks,
merc...
Some mission critical systems, such as fraud detection, require accurate...
Every year, criminals launder billions of dollars acquired from serious
...
Fraud detection is essential in financial services, with the potential o...
Payment card fraud causes multibillion dollar losses for banks and merch...
Detecting concept drift is a well known problem that affects production
...