Results 11 to 20 of about 10,738,952 (360)
On pattern setups and pattern multistructures [PDF]
International Journal of General Systems, 2020 Modern order and lattice theory provides convenient mathematical tools for pattern mining, in particular for condensed irredundant representations of pattern spaces and their efficient generation. Formal Concept Analysis (FCA) offers a generic framework , called pattern structures, to formalize many types of patterns, such as itemsets, intervals, graph
Aimene Belfodil +2 more
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Encyclopedia of Mathematical Geosciences, 2021 The computational neural-network structures described in the literature are often based on the concept of linear neural units (LNUs). The biological neuron is a complex computing element, which performs more computations than just linear summation.
Katherine L. Silversides
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CoRR, 2021 24 pages; To appear in the Proceedings of Pattern Languages of Programs 2021, and in the collected volume "CLA 3.0: 30 Years of Transformative and Critical Futures Research"
Joseph Corneli +7 more
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CoRR, 2023 Our earlier paper "Patterns of Patterns" combined three techniques from training, futures studies, and design in a design pattern called PLACARD that helps groups of people work together effectively. We used that pattern in five hands-on workshop case studies which took place at various locations in the US and the UK.
Corneli, Joseph +11 more
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Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
Scientific Reports, 2022 Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality.
Fabian Wagner +9 more
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Frontiers in Pharmacology, 2021 Disturbance of the gut microbiota plays an essential role in mental disorders such as depression and anxiety. Xiaoyaosan, a traditional Chinese medicine formula, has a wide therapeutic spectrum and is used especially in the management of depression and ...
Wenzhi Hao +12 more
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Scene text removal via cascaded text stroke detection and erasing
Computational Visual Media, 2021 Recent learning-based approaches show promising performance improvement for the scene text removal task but usually leave several remnants of text and provide visually unpleasant results.
Xuewei Bian +5 more
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Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images
Scientific Reports, 2021 In this study, we propose a novel point cloud based 3D registration and segmentation framework using reinforcement learning. An artificial agent, implemented as a distinct actor based on value networks, is trained to predict the optimal piece-wise linear
Xia Zhong +8 more
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BMC Medical Genomics, 2020 Background Breast cancer is a collection of multiple tissue pathologies, each with a distinct molecular signature that correlates with patient prognosis and response to therapy.
Adham Beykikhoshk +4 more
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An fMRI Dataset for Concept Representation with Semantic Feature Annotations
Scientific Data, 2022 The neural representation of concepts is a focus of many cognitive neuroscience studies. Prior works studying concept representation with neural imaging data have been largely limited to concrete concepts. The use of relatively small and constrained sets
Shaonan Wang +6 more
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