Results 1 to 10 of about 24,706,792 (258)
Explainable online health information truthfulness in Consumer Health Search
Frontiers in Artificial Intelligence, 2023 IntroductionPeople are today increasingly relying on health information they find online to make decisions that may impact both their physical and mental wellbeing.
Rishabh Upadhyay +3 more
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Key Band Image Sequences and A Hybrid Deep Neural Network for Recognition of Motor Imagery EEG
IEEE Access, 2021 Deep neural network is a promising method to recognize motor imagery electroencephalography (MI-EEG), which is often used as the source signal of a rehabilitation system; and the core issues are the data representation and the matched neural networks. MI-
Ming-Ai Li, Wei-Min Peng, Jin-Fu Yang
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Embedded Data Representations [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2017 We introduce embedded data representations, the use of visual and physical representations of data that are deeply integrated with the physical spaces, objects, and entities to which the data refers. Technologies like lightweight wireless displays, mixed reality hardware, and autonomous vehicles are making it increasingly easier to display data in ...
Willett, Wesley +2 more
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Hyper-class representation of data
Neurocomputing, 2022 Data representation is usually a natural form with their attribute values. On this basis, data processing is an attribute-centered calculation. However, there are three limitations in the attribute-centered calculation, saying, inflexible calculation, preference computation, and unsatisfactory output.
Shichao Zhang 0001 +3 more
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Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation
IEEE Access, 2022 This work proposes a novel unsupervised deep non-negative matrix factorization (NMF) model called AGDNMF by deep exploration of the structure of the original data.
Songtao Li, Weigang Li, Yang Li
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A Note on Representational Understanding
Entropy, 2022 In this paper, we explore a new approach in which understanding is interpreted as a set representation. We prove that understanding/representation, finding the appropriate coordination of data, is equivalent to finding the minimum of the representational
Antal Jakovác, András Telcs
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THE ROLE OF DATA VISUALIZATION IN ENHANCING TEXTUAL ANALYSIS [PDF]
Trakia Journal of Sciences, 2023 PURPOSE: The article aims to explore the integral role of data visualization in enhancing textual analysis, elucidating its current applications, ethical implications, challenges, and future trends.
P. Milev
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Triplet Loss Network for Unsupervised Domain Adaptation
Algorithms, 2019 Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap between different domains by transferring and re-using the knowledge obtained in the source domain to the target domain.
Imad Eddine Ibrahim Bekkouch +4 more
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IoT, 2022 In this paper, we compare and assess the efficacy of a number of time-series instance feature representations for anomaly detection. To assess whether there are statistically significant differences between different feature representations for anomaly ...
Rahul Agrahari +4 more
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Current: The Journal of Marine Education, 2020 Data Saves the Whales! was developed as part of the Advanced Manufacturing and Prototyping Integrated to Unlock Potential (AMP-IT-UP) project, funded by the National Science Foundation through its Math and Science Partnership program.
Jayma Koval +3 more
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