Results 21 to 30 of about 812,194 (338)
A review of some techniques for inclusion of domain-knowledge into deep neural networks [PDF]
Scientific Reports, 2021 We present a survey of ways in which existing scientific knowledge are included when constructing models with neural networks. The inclusion of domain-knowledge is of special interest not just to constructing scientific assistants, but also, many other ...
T. Dash +3 more
semanticscholar +1 more source
Domain Heuristic Fusion of Multi-Word Embeddings for Nutrient Value Prediction
Mathematics, 2021 Being both a poison and a cure for many lifestyle and non-communicable diseases, food is inscribing itself into the prime focus of precise medicine. The monitoring of few groups of nutrients is crucial for some patients, and methods for easing their ...
Gordana Ispirova +2 more
doaj +1 more source
Incorporating domain knowledge for extractive summarization of legal case documents [PDF]
International Conference on Artificial Intelligence and Law, 2021 Automatic summarization of legal case documents is an important and practical challenge. Apart from many domain-independent text summarization algorithms that can be used for this purpose, several algorithms have been developed specifically for ...
Paheli Bhattacharya +4 more
semanticscholar +1 more source
Data and domain knowledge dual‐driven artificial intelligence: Survey, applications, and challenges
Expert Syst. J. Knowl. Eng., 2023 At present, the mainstream mode of machine learning algorithms is the data‐driven method, which mainly relies on the self‐learning ability of deep neural networks and continuously evolving models in data‐driven training.
Jing Nie +5 more
semanticscholar +1 more source
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA [PDF]
Computer Vision and Pattern Recognition, 2020 One of the most challenging question types in VQA is when answering the question requires outside knowledge not present in the image. In this work we study open-domain knowledge, the setting when the knowledge required to answer a question is not given ...
Kenneth Marino +4 more
semanticscholar +1 more source
Domain Knowledge Powered Two-Stream Deep Network for Few-Shot SAR Vehicle Recognition
IEEE Transactions on Geoscience and Remote Sensing, 2022 Synthetic aperture radar (SAR) target recognition faces the challenge that there are very little labeled data. Although few-shot learning methods are developed to extract more information from a small amount of labeled data to avoid overfitting problems,
Linbin Zhang +6 more
semanticscholar +1 more source
Pre-trained language models with domain knowledge for biomedical extractive summarization
Knowledge-Based Systems, 2022 Biomedical text summarization is a critical task for comprehension of an ever-growing amount of biomedical literature. Pre-trained language models (PLMs) with transformer-based architectures have been shown to greatly improve performance in biomedical ...
Qianqian Xie +3 more
semanticscholar +1 more source
Risks, 2023 Predicting the risk of corporate bankruptcy is one of the most important challenges for researchers dealing with the issue of financial health evaluation. The risk of corporate bankruptcy is most often assessed with the use of early warning models.
Martina Mokrišová +1 more
doaj +1 more source
Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge
, 2021 Solar energy constitutes an effective supplement to traditional energy sources. However, photovoltaic power generation (PVPG) is strongly weather-dependent, and thus highly intermittent.
Xing Luo, Dongxiao Zhang, Xu Zhu
semanticscholar +1 more source
Journal of Marine Science and Engineering, 2022 Ballast systems and ballast water dynamic allocation between ballast tanks are very important for ensuring the offshore operation efficiency and safety of the revolving floating crane (RFC).
Qiao Liu +4 more
doaj +1 more source