Novelty detection in data streams is the task of detecting concepts that were not known prior,
in streams of data. Many machine learning algorithms have been proposed to detect these …

Method. To investigate the usage of these three confusion matrix rates in robotics and
artificial intelligence, we performed a search of the Matthews correlation coefficient …

Habituation is a form of simple memory that suppresses neural activity in response to
repeated, neutral stimuli. This process is critical in helping organisms guide attention toward …

Deciding where to go next is a challenging task for humans. However, for robots in unknown
environments, this becomes even more demanding. In planetary explorations, the robots are …

One of the essential abilities in animals is to detect novelties within their environment. From
the computational point of view, novelty detection consists of finding data that are different in …

Novelty detection is a very useful function for detecting abnormal data in any application. An
expectation-based novelty-detection approach has been introduced that learns the dynamic …

In this study, a novel framework using multiple novelty detection filters is developed to learn
a model of the normality of a robot's visual perception, which is called multichannel novelty …

The paper presents a method for control of a mobile robot. The task of the Line-follower was
to cover the route set programmatically as accurately as possible using the controllers P, PI …

In this work, we address the problem of novelty detection in the context of image
classification, where the goal is to classify whether a query belongs to one of the classes …