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Der GynakologeAbstract This chapter first provides a section on artificial intelligence (AI) in high risk systems, giving an overview over the current progress in standards relating to this topic. Next, a section addresses explainable AI (XAI) both as a technical concept and as a concept that has evident human and organizational sides to it.
Thor Myklebust +2 more
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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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Reinforcement learning for communication load balancing: approaches and challenges
Frontiers in Computer Science, 2023 The amount of cellular communication network traffic has increased dramatically in recent years, and this increase has led to a demand for enhanced network performance.
Di Wu +7 more
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A novel AI device for real-time optical characterization of colorectal polyps
npj Digital Medicine, 2022 Accurate in-vivo optical characterization of colorectal polyps is key to select the optimal treatment regimen during colonoscopy. However, reported accuracies vary widely among endoscopists.
Carlo Biffi +6 more
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Comparative Study of University, Industry, and Government Cooperation Model in Artificial Intelligence Scientific Research of Iran, China, and America [PDF]
علوم و فنون مدیریت اطلاعات, 2022 Objectives: By identifying the scientific researches of artificial intelligence carried out by universities, industry and the government, this paper seeks to outline the research situation of Iran in the field of this technology in comparison with China ...
Iman Zohoorian Nadali +2 more
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Micromachines, 2021 Cell concentration is a critical process in biological assays and clinical diagnostics for the pre-treatment of extremely rare disease-related cells. The conventional technique for sample preconcentration and centrifugation has the limitations of a batch
Jeeyong Kim +9 more
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Circular LSTM for Low-Dose Sinograms Inpainting
IEEE Access, 2023 Computed tomography (CT) is usually accompanied by a long scanning time and substantial patient radiation exposure. Sinograms are the basis for constructing CT scans; however, continuous sinograms may highly overlap, resulting in extra radiation exposure.
Chin Kuo +3 more
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Denoising Score Matching via Random Fourier Features
IEEE Access, 2022 The density estimation is one of the core problems in statistics. Despite this, existing techniques like maximum likelihood estimation are computationally inefficient in case of complex parametric families due to the intractability of the normalizing ...
Olga Tsymboi +3 more
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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
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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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