All Relations between semantics and matrix compartment

Publication Sentence Publish Date Extraction Date Species
Xianglin Zuo, Tianhao Jia, Xin He, Bo Yang, Ying Wan. Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks. Entropy (Basel, Switzerland). vol 24. issue 12. 2022-12-23. PMID:36554126. we first used multiple meta-paths to capture high-order semantic relations between users and items in hin for generating similarity matrices, and then utilized matrix decomposition on similarity matrices to obtain low-dimensional sparse representations of users and items. 2022-12-23 2023-08-14 Not clear
Tiancheng He, Chao Li, Jiayang Wang, Minjun Wang, Zhenghao Wang, Changyong Jia. An emotion analysis in learning environment based on theme-specified drawing by convolutional neural network. Frontiers in public health. vol 10. 2022-11-21. PMID:36408050. with the completion of convolutional, full-connected, and classification operations, the features of the painting image were learned from the underlying pixel matrix to the high-level semantic feature mapping. 2022-11-21 2023-08-14 Not clear
Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, Eduard Hov. DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis. IEEE transactions on neural networks and learning systems. vol PP. 2022-11-14. PMID:36374886. our dualgcn model mainly comprises four modules: 1) syngcn: instead of explicitly encoding syntactic structure, the syngcn module uses the dependency probability matrix as a graph structure to implicitly integrate the syntactic information; 2) semgcn: we design the semgcn module with multihead attention to enhance the performance of the syntactic structure with the semantic information; 3) regularizers: we propose orthogonal and differential regularizers to precisely capture semantic correlations between words by constraining attention scores in the semgcn module; and 4) mutual biaffine: we use the biaffine module to bridge relevant information between the syngcn and semgcn modules. 2022-11-14 2023-08-14 Not clear
Yi Zhou, Xinyi Wang, Lin Yao, Min Zh. LDAformer: predicting lncRNA-disease associations based on topological feature extraction and Transformer encoder. Briefings in bioinformatics. 2022-09-12. PMID:36094081. intra-class similarities and inter-class associations are presented as the lncrna-disease-mirna weighted adjacency matrix to unify semantics. 2022-09-12 2023-08-14 Not clear
Mircea-Sebastian Șerbănescu, Raluca Maria Bungărdean, Carmen Georgiu, Maria Crișa. Nodular and Micronodular Basal Cell Carcinoma Subtypes Are Different Tumors Based on Their Morphological Architecture and Their Interaction with the Surrounding Stroma. Diagnostics (Basel, Switzerland). vol 12. issue 7. 2022-07-27. PMID:35885545. we selected a low-risk subtype, namely, nodular (n), and a high-risk subtype, namely, micronodular (mn), with the aim to identify differences between them using a classical morphometric approach through a gray-level co-occurrence matrix and histogram analysis, as well as an approach based on deep learning semantic segmentation. 2022-07-27 2023-08-14 Not clear
Jianfei Ruan, Qinghua Zheng, Rui Zhao, Bo Don. Biased Complementary-Label Learning Without True Labels. IEEE transactions on neural networks and learning systems. vol PP. 2022-07-21. PMID:35862328. by introducing the learned semantic clusters as an intermediate class, we factorize the original transition matrix into the product of two easy-to-estimate matrices that are not reliant on the two error-prone items. 2022-07-21 2023-08-14 Not clear
Reddy Rani Vangimalla, Jaya Sreevalsan-Nai. Communities and Cliques in Functional Brain Network Using Multiscale Consensus Approach. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol PP. 2022-07-12. PMID:35820016. to address this requirement, we propose the use of exploratory factor analysis (efa), thus, exploiting the semantics of the correlation matrix. 2022-07-12 2023-08-14 Not clear
Leitian Tao, Li Mi, Nannan Li, Xianhang Cheng, Yaosi Hu, Zhenzhong Che. Predicate correlation learning for scene graph generation. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2022-06-14. PMID:35700252. to measure the semantic overlap between highly correlated predicate classes, a predicate correlation matrix (pcm) is defined to quantify the relationship between predicate pairs, which is dynamically updated to remove the matrix's long-tailed bias. 2022-06-14 2023-08-14 Not clear
Salma Alqazzaz, Xianfang Sun, Len Dm Nokes, Hong Yang, Yingxia Yang, Ronghua Xu, Yanqiang Zhang, Xin Yan. Combined Features in Region of Interest for Brain Tumor Segmentation. Journal of digital imaging. 2022-03-16. PMID:35293605. a semantic segmentation network (segnet) is used to generate the machine-learned features, while the grey-level co-occurrence matrix (glcm)-based texture features construct the hand-crafted features. 2022-03-16 2023-08-13 Not clear
Zhen-Liang Ni, Gui-Bin Bian, Zhen Li, Xiao-Hu Zhou, Rui-Qi Li, Zeng-Guang Ho. Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation. IEEE journal of biomedical and health informatics. vol PP. 2022-02-28. PMID:35226612. the similarity between each horizontal position and each vertical position is calculated to encode long-range semantic dependencies and establish the affinity matrix. 2022-02-28 2023-08-13 Not clear
Juan Su. Variational Fuzzy Neural Network Algorithm for Music Intelligence Marketing Strategy Optimization. Computational intelligence and neuroscience. vol 2022. 2022-01-17. PMID:35035469. the basic idea of the recommendation algorithm is as follows: firstly, the historical behavioural information of music users is collected, and the user preference model is constructed by using the method of matrix decomposition of the hidden semantic model; then, the audio resources in the system are preprocessed and the spectrum map that can represent the music features is extracted; the similarity between the user's preferred features and the music potential features are calculated to generate recommendations for the target user. 2022-01-17 2023-08-13 Not clear
Lei Cai, Chuang Chen, Haojie Cha. Underwater Distortion Target Recognition Network (UDTRNet) via Enhanced Image Features. Computational intelligence and neuroscience. vol 2021. 2021-11-02. PMID:34721563. secondly, this paper constructs the dynamic correlation matrix to capture the spatial semantic relationship of the target and uses the matrix to extract spatial semantic features. 2021-11-02 2023-08-13 Not clear
Ying Ying Zhang, HongJuan Wang, XiaoDong Lv, Ping Zhan. Capturing the grouping and compactness of high-level semantic feature for saliency detection. Neural networks : the official journal of the International Neural Network Society. vol 142. 2021-10-26. PMID:34116448. the propagation process uses an enhanced similarity matrix, which fuses the low-level deep feature and the high-level semantic feature through cross diffusion. 2021-10-26 2023-08-13 Not clear
Naomar Almeida-Filh. [Health inequalities: new theoretical perspectives]. Salud colectiva. vol 16. 2021-08-23. PMID:32574463. thirdly, i present a semantic matrix proposed for the difference-distinction-inequality-inequity-iniquity series to help reduce the existing terminological confusion. 2021-08-23 2023-08-13 Not clear
Manson Cheuk-Man Fong, Nga Yan Hui, Edith Sze-Wan Fung, Matthew King-Hang Ma, Tammy Sheung-Ting Law, Xiaoyang Wang, William Shiyuan Wan. Which cognitive functions subserve clustering and switching in category fluency? Generalisations from an extended set of semantic categories using linear mixed-effects modelling. Quarterly journal of experimental psychology (2006). vol 73. issue 12. 2021-08-18. PMID:32972306. our results revealed that although lexical retrieval speed (lrs) is clearly the determining factor for effective clustering and switching, matrix reasoning and processing speed also have significant roles to play, possibly in the processes of identifying and validating the semantic relationships. 2021-08-18 2023-08-13 Not clear
Mingyong Li, Qiqi Li, Lirong Tang, Shuang Peng, Yan Ma, Degang Yan. Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model. Computational intelligence and neuroscience. vol 2021. 2021-08-02. PMID:34326867. to solve this problem, inspired by knowledge distillation, we propose a novel unsupervised knowledge distillation cross-modal hashing method based on semantic alignment (sakdh), which can reconstruct the similarity matrix using the hidden correlation information of the pretrained unsupervised teacher model, and the reconstructed similarity matrix can be used to guide the supervised student model. 2021-08-02 2023-08-13 Not clear
Mingyong Li, Qiqi Li, Lirong Tang, Shuang Peng, Yan Ma, Degang Yan. Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model. Computational intelligence and neuroscience. vol 2021. 2021-08-02. PMID:34326867. specifically, firstly, the teacher model adopted an unsupervised semantic alignment hashing method, which can construct a modal fusion similarity matrix. 2021-08-02 2023-08-13 Not clear
K V Dijkstra, J D R Farquhar, P W M Desai. The N400 for brain computer interfacing: complexities and opportunities. Journal of neural engineering. vol 17. issue 2. 2021-06-25. PMID:31986492. in this paper, we provide an accessible overview of this range of n400 effects, and survey the three main bci application areas that currently exploit the n400: (1) exploiting the semantic processing of faces to enhance matrix speller performance, (2) detecting language processing in patients with disorders of consciousness, and (3) using semantic stimuli to probe what is on a user's mind. 2021-06-25 2023-08-13 human
Fang Li, Guozheng Rao, Jingcheng Du, Yang Xiang, Yaoyun Zhang, Salih Selek, Jane Elizabeth Hamilton, Hua Xu, Cui Ta. Ontological representation-oriented term normalization and standardization of the Research Domain Criteria. Health informatics journal. vol 26. issue 2. 2021-06-23. PMID:30843449. since an ontology has the strengths of supporting semantic inferencing and automatic data processing, we would like to transform the research domain criteria matrix into an ontological structure. 2021-06-23 2023-08-13 Not clear
Xiaozhao Fang, Kaihang Jiang, Na Han, Shaohua Teng, Guoxu Zhou, Shengli Xi. Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval. IEEE transactions on cybernetics. vol PP. 2021-06-11. PMID:34106872. this article proposes a novel method called average approximate hashing (aah) to address these problems by: 1) integrating the locality and residual preservation into a graph embedding framework by using the label information; 2) projecting data from different modalities into different semantic spaces and then making the two spaces approximate to each other so that a unified hash code can be obtained; and 3) introducing a principal component analysis (pca)-like projection matrix into the graph embedding framework to guarantee that the projected data can preserve the main energy of data. 2021-06-11 2023-08-13 Not clear