Results 71 to 80 of about 212,177 (318)
Multiscale Structure and Texture Feature Fusion for Image Inpainting
IEEE Access, 2022 In order to achieve interaction between structure and texture information in generative adversarial image inpainting networks and improve the semantic veracity of the restored images, unlike the original two-stage inpainting ideas where texture and ...
Lan Li +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT In 2018, the Texas Children's Cancer and Hematology Center Leukemia Program implemented a practice standard to support the transition from treatment to survivorship that includes shared, alternating care between leukemia and survivorship clinicians and a reminder to refer survivors to the long‐term survivor clinic (LTSC) 2 years after ...
Ji Yun Tark +9 more
wiley +1 more source
Learning generative texture models with extended Fields-of-Experts [PDF]
, 2009 We evaluate the ability of the popular Field-of-Experts (FoE) to model structure in images. As a test case we focus on modeling synthetic and natural textures.
Geoffrey E. Hinton +5 more
core +1 more source
Generalizations of the noisy-or model [PDF]
Kybernetika, 2015 Summary: In this paper, we generalize the noisy-or model. The generalizations are three-fold. First, we allow parents to be multivalued ordinal variables. Second, parents can have both positive and negative influences on their common child. Third, we describe how the suggested generalization can be extended to multivalued child variables.
openaire +2 more sources
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
Pediatric Blood &Cancer, EarlyView.ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
VGAE-MCTS: a New Molecular Generative Model combining Variational Graph Auto-Encoder and Monte Carlo Tree Search [PDF]
, 2023 Molecular generation is crucial for advancing drug discovery, material design, and chemical exploration. It expedites the search for new drug candidates, facilitates tailored material creation, and enhances our understanding of molecular diversity.
Taichi, Nakai +5 more
core +1 more source
The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo +5 more
wiley +1 more source
Elevating Wafer Defect Inspection with Denoising Diffusion Probabilistic Model
MathematicsIntegrated circuits (ICs) are critical components in the semiconductor industry, and precise wafer defect inspection is essential for maintaining product quality and yield.
Ping-Hung Wu +8 more
doaj +1 more source
From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence
Frontiers in Computational Neuroscience, 2020 Despite the recent progress in AI powered by deep learning in solving narrow tasks, we are not close to human intelligence in its flexibility, versatility, and efficiency.
Dileep George +2 more
doaj +1 more source
Generalized prime models [PDF]
Journal of Symbolic Logic, 1971 A prime model O of some complete theory T is a model which can be elementarily imbedded into any model of T (cf. Vaught [7, Introduction]). We are going to replace the assumption that T is complete and that the maps between the models of T are elementary imbeddings (elementary extensions) by more general conditions.
openaire +2 more sources