19   Artículos

 
en línea
Songpu Li, Xinran Yu and Peng Chen    
Model robustness is an important index in medical cybersecurity, and hard-negative samples in electronic medical records can provide more gradient information, which can effectively improve the robustness of a model. However, hard negatives pose difficul... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Deepesh Chugh, Himanshu Mittal, Amit Saxena, Ritu Chauhan, Eiad Yafi and Mukesh Prasad    
Determining the optimal feature set is a challenging problem, especially in an unsupervised domain. To mitigate the same, this paper presents a new unsupervised feature selection method, termed as densest feature graph augmentation with disjoint feature ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sizhe Luo, Weiming Zeng and Bowen Sun    
With the increasing popularity of automatic identification system AIS devices, mining latent vessel motion patterns from AIS data has become a hot topic in water transportation research. Trajectory similarity computation is a fundamental issue to many ma... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Binbin Shi, Lijuan Zhang, Jie Huang, Huilin Zheng, Jian Wan and Lei Zhang    
Text data augmentation is essential in the field of medicine for the tasks of natural language processing (NLP). However, most of the traditional text data augmentation focuses on the English datasets, and there is little research on the Chinese datasets... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Renaud Fabre, Otmane Azeroual, Patrice Bellot, Joachim Schöpfel and Daniel Egret    
The variety and diversity of published content are currently expanding in all fields of scholarly communication. Yet, scientific knowledge graphs (SKG) provide only poor images of the varied directions of alternative scientific choices, and in particular... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Ruoming Zhai, Jingui Zou, Yifeng He and Liyuan Meng    
Point-based networks have been widely used in the semantic segmentation of point clouds owing to the powerful 3D convolution neural network (CNN) baseline. Most of the current methods resort to intermediate regular representations for reorganizing the st... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Federico Corò, Gianlorenzo D'Angelo and Cristina M. Pinotti    
In this paper, we consider the problem of improving the reachability of a graph. We approach the problem from a graph augmentation perspective, in which a limited set size of edges is added to the graph to increase the overall number of reachable nodes. ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Rafael T. Anchiêta, Rogério F. de Sousa and Thiago A. S. Pardo    
Paraphrase detection is a Natural-Language Processing (NLP) task that aims at automatically identifying whether two sentences convey the same meaning (even with different words). For the Portuguese language, most of the works model this task as a machine... ver más
Revista: Information    Formato: Electrónico

 
en línea
Dmitry Ponkin     Pág. 18 - 29
The article studies the concept and technologies of pre-trained language models in the context of knowledge engineering. The author substantiates the relevance of the issue of the existence of internalized and implicit knowledge, extracted from text corp... ver más
Revista: International Journal of Open Information Technologies    Formato: Electrónico

 
en línea
Federico Corò, Gianlorenzo D?Angelo and Yllka Velaj    
Political parties recently learned that they must use social media campaigns along with advertising on traditional media to defeat their opponents. Before the campaign starts, it is important for a political party to establish and ensure its media presen... ver más
Revista: Algorithms    Formato: Electrónico

« Anterior     Página: 1 de 2     Siguiente »