Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …

Artificial intelligence and machine learning are ubiquitous in the domain of Earth
Observation (EO) and Remote Sensing. Congruent to their success in the domain of …

Abstract Background and Objective: Artificial Intelligence (AI) has shown significant
advancements across several industries, including healthcare, using better fusion …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in Remote Sensing. Despite the potential benefits of …

Numerous real-world applications require the intelligent combining of disparate information
streams from sensors to create a more complete and enhanced observation in support of …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …

The adoption of artificial intelligence (AI) into domains that impact human life (healthcare,
agriculture, security and defense, etc.) has led to an increased demand for explainable AI …

Abstract Explainable Artificial Intelligence (XAI) has become a hot topic as fields like
Machine Learning (ML) are taking center stage in a multitude of domains from agriculture to …

This paper focuses on a powerful nonlinear aggregation function, the Choquet integral (ChI).
Specifically, we focus on situations where the parameters of the ChI are learned from data …

The fuzzy integral is a powerful parametric nonlin-ear function with utility in a wide range of
applications, from information fusion to classification, regression, decision making …