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Artificial Intelligence and Statistics [PDF]
Frontiers of Information Technology & Electronic Engineering, 2017 Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during generation of data, development of algorithms, and evaluation of results.
Kumbier, Karl, Yu, Bin
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Artificial Intelligence for Health [PDF]
Computers, 2021 Health is one of the major research topics that has been attracting cross-disciplinary research groups [...]
Celesti, Antonio +3 more
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Structure of associative heterarchical memory
Российский технологический журнал, 2022 Objectives. Since the 20th century, artificial intelligence methods can be divided into two paradigms: top-down and bottom-up. While the methods of the ascending paradigm are difficult to interpret as natural language outputs, those applied according to ...
R. V. Dushkin +3 more
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Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students [PDF]
, 2022 Artificial intelligence is a system with the nature of human intelligence that can automatically provide knowledge and information to create intelligent applications to make it easier to solve problems such as problem-solving, speech recognition, and ...
Bali, Muhammad Mushfi El Iq +2 more
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Risk stratification and pathway analysis based on graph neural network and interpretable algorithm
BMC Bioinformatics, 2022 Background Pathway-based analysis of transcriptomic data has shown greater stability and better performance than traditional gene-based analysis. Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but these
Bilin Liang, Haifan Gong, Lu Lu, Jie Xu
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Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition
Компьютерная оптика, 2023 Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called FusionBrain, the first competition which is targeted to make a universal architecture which could process different modalities (in this case, images, texts,
D.D. Bakshandaeva +10 more
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Feedback Control for Passivity of Memristor-Based Multiple Weighted Coupled Neural Networks
Discrete Dynamics in Nature and Society, 2022 This paper investigates the passivity of multiple weighted coupled memristive neural networks (MWCMNNs) based on the feedback control. Firstly, a kind of memristor-based coupled neural network model with multiple weights is presented for the first time ...
Xiang-Bo Wang +4 more
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BioData Mining, 2021 Background The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that measure gene expression in bulk tissue
Haripriya Harikumar +4 more
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Precision medicine and artificial intelligence : a pilot study on deep learning for hypoglycemic events detection based on ECG [PDF]
, 2020 Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial diabetic patients. Tight glucose monitoring reduces the risk of hypoglycemia, which can result in a series of complications, especially in diabetic patients ...
Pecchia, Leandro +3 more
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