Browsing Publikasjoner fra CRIStin by Journals "Applied intelligence (Boston)"
Now showing items 1-4 of 4
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Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games
(Peer reviewed; Journal article, 2016)This paper considers the problem of designing novel techniques for multi-player game playing, in a range of board games and configurations. Compared to the well-known case of two-player game playing, multi-player game ... -
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification
(Peer reviewed; Journal article, 2022)Extensive research has been conducted on the automatic classification of sleep stages utilizing deep neural networks and other neurophysiological markers. However, for sleep specialists to employ models as an assistive ... -
Temperate fish detection and classification: a deep learning based approach
(Peer reviewed; Journal article, 2021)A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize ... -
Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines
(Peer reviewed; Journal article, 2022)Recent research in novelty detection focuses mainly on document-level classification, employing deep neural networks (DNN). However, the black-box nature of DNNs makes it difficult to extract an exact explanation of why a ...