Anomaly detection is an important problem that has been researched within diverse
research areas and application domains. Many anomaly detection techniques have been …

Novelty detection is the identification of new or unknown data or signal that a machine
learning system is not aware of during training. Novelty detection is one of the fundamental …

Novelty detection: a review—part 2:: neural network based approaches - ScienceDirect Skip
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Outliers once upon a time regarded as noisy data in statistics, has turned out to be an
important problem which is being researched in diverse fields of research and application …

Outlier detection has been a very important concept in the realm of data analysis. Recently,
several application domains have realized the direct mapping between outliers in data and …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

Many have offered criteria for judging a design as creative. Among these criteria have been
novelty, value, and surprise. We offer a unique perspective and synthesis of these three …

Motivated learning is an emerging research field in artificial intelligence and cognitive
modelling. Computational models of motivation extend reinforcement learning to adaptive …

We present a new framework for novelty detection. The framework evaluates neural
networks as adaptive classifiers that are capable of novelty detection and retraining on the …

Creativity studies focus on the processes that produce creative artifacts and how we
evaluate an artifact to determine if it is creative. This paper focuses on the essential criteria …