Results 11 to 20 of about 20,143,612 (313)
Domain generation algorithms (DGAs) play an important role in network attacks and can be mainly divided into two types: dictionary-based and character-based.
Shaojie Chen +3 more
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Development of a Software Engineering Ontology for Multisite Software Development [PDF]
This paper aims to present an ontology model of software engineering to represent its knowledge. The fundamental knowledge relating to software engineering is well described in the textbook entitled Software Engineering by Sommerville that is now in its eighth edition (2004) and the white paper, Software Engineering Body of Knowledge (SWEBOK), by the ...
Pornpit Wongthongtham +3 more
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Sequential Graph Neural Network for Urban Road Traffic Speed Prediction
Accurate speed predictions for urban roads are highly important for traffic monitoring and route planning, and also help relieve the pressure of traffic congestion.
Zhipu Xie +5 more
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Inter-American Development Bank Annual Report 2021: Financial Statements
This report is the second of two volumes which together constitute the Inter-American Development Bank\u27s 2021 Annual Report. This report contains the management\u27s discussion and analysis of the Bank\u27s ordinary capital and financial ...
Inter-American Development Bank
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Few‐shot learning with relation propagation and constraint
Previous deep learning methods usually required large‐scale annotated data, which is computationally exhaustive and unrealistic in certain scenarios. Therefore, few‐shot learning, where only a few annotated training images are available for training, has
Huiyun Gong +6 more
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Traditional methods for landslide survey, whether field investigation or human remote sensing-based interpretation approaches, all require considerable labour costs and expert knowledge.
Yuhui Jin +6 more
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VarSight: prioritizing clinically reported variants with binary classification algorithms
Background When applying genomic medicine to a rare disease patient, the primary goal is to identify one or more genomic variants that may explain the patient’s phenotypes. Typically, this is done through annotation, filtering, and then prioritization of
James M. Holt +15 more
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An Efficient Density-Based Local Outlier Detection Approach for Scattered Data
After the local outlier factor was first proposed, there is a large family of local outlier detection approaches derived from it. Since the existing approaches only focus on the extent of overall separation between an object and its neighbors, and ignore
Shubin Su +6 more
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Output sensitive algorithms for covering many points [PDF]
Discrete ...
Hossein Ghasemalizadeh +1 more
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Multitask learning for biomedical named entity recognition with cross-sharing structure
Background Biomedical named entity recognition (BioNER) is a fundamental and essential task for biomedical literature mining, which affects the performance of downstream tasks.
Xi Wang, Jiagao Lyu, Li Dong, Ke Xu
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