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WhatsApp: +86 18203695377WEBMar 19, 2024 · Advancements in selfsupervised pretraining (SSL) have significantly advanced the field of learning transferable time series representations, which can be very useful in enhancing the downstream task. Despite being effective, most existing works struggle to achieve crossdomain SSL pretraining, missing valuable opportunities to .
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WhatsApp: +86 18203695377WEBAn Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME Abstract: LIME, or 'Local Interpretability Modelagnostic Explanations' is a wellknown posthoc explanation technique for the interpretation of blackbox models. While very useful, recent studies show that LIME suffers from stability problems ...
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WhatsApp: +86 18203695377WEBTime Series Classifiion (TSC) is an important and challenging task for many visual computing appliions. Despite the extensive range of methods developed for TSC, only a few are based on Deep Neural Networks (DNNs). In this paper, we present two novel attention blocks: (Global Temporal Attention and Temporal PseudoGaussian .
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WhatsApp: +86 18203695377WEBJun 21, 2020 · Modelling the comminution in jet mills with respect to the complex twophase flow and the dynamic process behaviour is still a challenging task. The processed solids pass through several stages in the mill: The comminution process in the lower part, the pneumatic transport towards the classifier in the middle section, and the .
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WhatsApp: +86 18203695377WEBTime Series Classifiers in aeon¶. aeon contains the state of the art in time series classifiers in the package are grouped based on the data representation used to find discriminatory features. We provide a separate notebook for each of type: convolution based, deep learning, distance based, dictionary based, .
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