Titlebook: Brain Informatics; 15th International C Mufti Mahmud,Jing He,Ning Zhong Conference proceedings 2022 Springer Nature Switzerland AG 2022 art

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https://doi.org/10.1007/978-3-319-08165-6 training sets could produce different rankings of predictive features. Thus, the quantification of differences between feature importance is crucial for assessing model trustworthiness. Rank-biased Overlap (RBO) is a similarity measure between ., . and . rankings, which are all characteristics of f

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Imaging of Malignant Focal Liver Lesions,ur cognitive resources and partly because of our intrinsic thoughts. In this work, we aim to find the differences in the neural signatures of mind-wandering and meditation that are common across different meditative styles. We use EEG recording done during meditation sessions by experts of different

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Techniques for Liver MR Imaging,reover, we found the locations of active sources also have an impact on the performance of ESI algorithms. For the real EEG/MEG source reconstruction, as the ground true activation is unknown, it is hard to validate which algorithm performs better. In this paper, we proposed to use statistical featu

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/190189.jpg

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978-3-031-15036-4Springer Nature Switzerland AG 2022

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From Concrete to Abstract Rules: A Computational Sketchation and the selection of such abstract rules. Using two models from the literature (PBWM and HER), we explain that they both provide a partial but differentiated answer such that their unification offers a complete picture.