Results 11 to 20 of about 274,383 (249)
Artificial Intelligence (AI) Ethics
Journal of Database Management, 2020 Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy,
Keng Siau, Weiyu Wang
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Hippocampal representations for deep learning on Alzheimer’s disease
Scientific Reports, 2022 Deep learning offers a powerful approach for analyzing hippocampal changes in Alzheimer’s disease (AD) without relying on handcrafted features. Nevertheless, an input format needs to be selected to pass the image information to the neural network, which ...
Ignacio Sarasua +2 more
doaj +1 more source
Deep-learning model for screening sepsis using electrocardiography
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 2021 Background Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. Although sepsis is a medical emergency that requires immediate management, screening for the occurrence of sepsis is difficult.
Joon-myoung Kwon +10 more
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SDTR: Soft Decision Tree Regressor for Tabular Data
IEEE Access, 2021 Deep neural networks have been proved a success in multiple fields. However, researchers still favor traditional approaches to obtain more interpretable models, such as Bayesian methods and decision trees when processing heterogeneous tabular data.
Haoran Luo, Fan Cheng, Heng Yu, Yuqi Yi
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AAC and Artificial Intelligence (AI)
Topics in Language Disorders, 2019 Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative communication (AAC)?
Sennott, Samuel +3 more
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DIR: A Large-Scale Dialogue Rewrite Dataset for Cross-Domain Conversational Text-to-SQL
Applied Sciences, 2023 Semantic co-reference and ellipsis always lead to information deficiency when parsing natural language utterances with SQL in a multi-turn dialogue (i.e., conversational text-to-SQL task).
Jieyu Li +6 more
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PROGRESS OF ARTIFICIAL INTELLIGENCE (AI)
Journal of Social Sciences, 2018 In the past few years, systems like Siri and Google Now opened our minds to the idea that we don’t have to be tethered to a laptop to have seamless interaction with information. In this model, AIs will move from speech recognition to natural language interaction, to natural language generation, and eventually to an ability to write as well as receive ...
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Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Relation-Aware Graph Transformer for SQL-to-Text Generation
Applied Sciences, 2021 Generating natural language descriptions for structured representation (e.g., a graph) is an important yet challenging task. In this work, we focus on SQL-to-text, a task that maps a SQL query into the corresponding natural language question.
Da Ma +5 more
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Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source