Results 151 to 160 of about 252,636 (309)
Exploring ChatGPT-Based Augmentation Strategies for Contrastive Aspect-Based Sentiment Analysis [PDF]
Aspect-based sentiment analysis (ABSA) involves identifying sentiment toward specific aspect terms in a sentence and allows us to uncover people's nuanced perspectives and attitudes on particular aspects of a product, service, or topic.
Xu, Lingling +4 more
core +1 more source
Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng +16 more
wiley +1 more source
Improving Image Recognition with Limited Data via WACGAN-GP-Based Data Augmentation
With the rapid advancement of deep learning, data acquisition remains a persistent challenge, as model effectiveness heavily relies on the quality and quantity of training data.
Kun-Chou Lee, Yung-Hsuan Hsu
doaj +1 more source
The incorporation of nondigested ECM and synthetic polymers into a co‐electrospinning system enables the decoupling of bioactivity and mechanical properties within a single wrap. This technique is used to develop a multifunctional bone wrap that achieves augmented membrane durability, sustained infection control, and enhanced vascularity for use in ...
Sarah Jones +14 more
wiley +1 more source
Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review
Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami +4 more
wiley +1 more source
Generative Spatiotemporal Data Augmentation
We explore spatiotemporal data augmentation using video foundation models to diversify both camera viewpoints and scene dynamics. Unlike existing approaches based on simple geometric transforms or appearance perturbations, our method leverages off-the-shelf video diffusion models to generate realistic 3D spatial and temporal variations from a given ...
Jinfan Zhou +4 more
openaire +2 more sources
Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy
Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima +15 more
wiley +1 more source
Style Augmentation: Data Augmentation via Style Randomization
We introduce style augmentation, a new form of data augmentation based on random style transfer, for improving the robustness of Convolutional Neural Networks (CNN) over both classification and regression based tasks.
Atapour-Abarghouei, Amir +4 more
core
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha +9 more
wiley +1 more source
Style augmentation: data augmentation via style randomization [PDF]
We introduce style augmentation, a new form of data augmentation based on random style transfer, for improving the robustness of Convolutional Neural Networks (CNN) over both classification and regression based tasks.
Jackson P +4 more
core

