Results 51 to 60 of about 117,002 (264)
Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification
Remote Sensing, 2021 For both traditional classification and current popular deep learning methods, the limited sample classification problem is very challenging, and the lack of samples is an important factor affecting the classification performance.
Wenning Wang, Xuebin Liu, Xuanqin Mou
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FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
SensorsSide-scan sonar is a principal technique for subsea target detection, where the quantity of sonar images of seabed targets significantly influences the accuracy of intelligent target recognition.
Chengyang Peng +3 more
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PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series
CoRR, 2023 Code: \url{https://github.com/google-research/google-research/tree/master/irregular_timeseries_pretraining}
Nicasia Beebe-Wang +4 more
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Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
The Augmented SOLOW Model And The OECD Sample
International Business & Economics Research Journal (IBER), 2011 In their influential work on the augmented Solow model, Mankiw, Romer and Weil (1992) showed that cross-section evidence was reasonably consistent with the Solow growth model augmented to include human capital for a wide range of countries. However, for the sample of OECD countries, they found that the model had low explanatory power and underestimated
Giorgio Canarella, Stephen K. Pollard
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Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
智慧农业ObjectiveThe leaf area index (LAI) is a key biophysical parameter that reflects the canopy structure and photosynthetic capacity of crops. However, the inversion of winter wheat LAI from remote sensing data is often constrained by the limited ...
LU Yihang +5 more
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Targeting Precision with Data Augmented Samples in Deep Learning [PDF]
, 2019 In the last five years, deep learning (DL) has become the state-of-the-art tool for solving various tasks in medical image analysis. Among the different methods that have been proposed to improve the performance of Convolutional Neural Networks (CNNs), one typical approach is the augmentation of the training data set through various transformations of ...
Pietro Nardelli +1 more
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MetaAugment: Sample-Aware Data Augmentation Policy Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Automated data augmentation has shown superior performance in image recognition. Existing works search for dataset-level augmentation policies without considering individual sample variations, which are likely to be sub-optimal. On the other hand, learning different policies for different samples naively could greatly increase the computing cost.
Fengwei Zhou +6 more
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