|
|
|
|
|
Yiming Chen and Shuang Liang
In the field of education, cognitive diagnosis is crucial for achieving personalized learning. The widely adopted DINA (Deterministic Inputs, Noisy And gate) model uncovers students? mastery of essential skills necessary to answer questions correctly. Ho...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chao He, Xinghua Zhang, Dongqing Song, Yingshan Shen, Chengjie Mao, Huosheng Wen, Dingju Zhu and Lihua Cai
With the popularization of better network access and the penetration of personal smartphones in today?s world, the explosion of multi-modal data, particularly opinionated video messages, has created urgent demands and immense opportunities for Multi-Moda...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
ver más
|
|
|
|
|
|
|
|
|
|
|
Swarnendu Ghosh, Teresa Gonçalves and Nibaran Das
Conceptual representations of images involving descriptions of entities and their relations are often represented using scene graphs. Such scene graphs can express relational concepts by using sets of triplets ⟨subject—predicate&...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sepideh Kilani, Seyedeh Nadia Aghili and Mircea Hulea
A new approach is introduced to address the subject dependency problem in P300-based brain-computer interfaces (BCI) by using transfer learning. The occurrence of P300, an event-related potential, is primarily associated with changes in natural neuron ac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qi Meng, Xixiang Zhang, Yun Dong, Yan Chen and Dezhao Lin
Relationship extraction is a crucial step in the construction of a knowledge graph. In this research, the grid field entity relationship extraction was performed via a labeling approach that used span representation. The subject entity and object entity ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yifei Wang, Yongwei Wang, Hao Hu, Shengnan Zhou and Qinwu Wang
In order to solve the current problems in domain long text classification tasks, namely, the long length of a document, which makes it difficult for the model to capture key information, and the lack of expert domain knowledge, which leads to insufficien...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruipeng Zhang, Yanxiang Feng, Yikang Yang and Xiaoling Li
By enabling a satellite network with edge computing capabilities, satellite edge computing(SEC) provides users with a full range of computing service. In this paper, we construct a multi-objective optimization model for task offloading with data-dependen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qunyu Xu, Jia Liu, Min Su and Weishi Chen
Bird strikes are a predominant threat to aviation safety, especially in airport airspace. Effective wildlife surveillance methods are required for the harmonious coexistence of airport management and friendly ecology. Existing works indicate the close re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiqi Zheng, Chao Wei, Xinfei Yan, Housong Ruan and Bangyu Wu
Seismic elastic parameter inversion translates seismic data into subsurface structures and physical properties of formations. Traditional model-based inversion methods have limitations in retrieving complex geological structures. In recent years, deep le...
ver más
|
|
|
|
|
|