All Relations between semantics and matrix compartment

Reference Sentence Publish Date Extraction Date Species
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 issue 2022 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. 2022-11-22 2022-11-28 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 issue 2022 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 2022-11-21 Not clear
Jiajun Tong, Zhixiao Wang, Xiaobin Ru. A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set. Computational intelligence and neuroscience vol 2022 issue 2022 36248939 the output of the encoder layer is sent to a bidirectional lstm network, and the feature matrix is extracted hierarchically through the lstm at the word and sentence level to obtain the fine-grained semantic representation. 2022-10-17 2022-10-25 Not clear
Hailu Yang, Qian Liu, Jin Zhang, Xiaoyu Ding, Chen Chen, Lili Wan. Community Detection in Semantic Networks: A Multi-View Approach. Entropy (Basel, Switzerland) vol 24 issue 8 2022 36010804 we develop a data feature matrix based on node similarity and extract semantic features from the views of word frequency, keyword, and topic, respectively. 2022-08-26 2022-08-29 Not clear
Mircea-Sebastian \\xc8\\x98erb\\xc4\\x83nescu, Raluca Maria Bung\\xc4\\x83rdean, Carmen Georgiu, Maria Cri\\xc8\\x99a. 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 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 2022-08-08 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 issue 2022 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 2022-07-25 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 issue 2022 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 2022-06-20 Not clear
Yan Hao, Li Zhang, Shichang Qiao, Yanping Bai, Rong Cheng, Hongxin Xue, Yuchao Hou, Wendong Zhang, Guojun Zhan. Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix. PloS one vol 17 issue 5 2022 35511877 breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix. 2022-05-05 2022-05-07 Not clear
Yan Hao, Li Zhang, Shichang Qiao, Yanping Bai, Rong Cheng, Hongxin Xue, Yuchao Hou, Wendong Zhang, Guojun Zhan. Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix. PloS one vol 17 issue 5 2022 35511877 a method of breast cancer histopathological images recognition based on deep semantic features and gray level co-occurrence matrix (glcm) features is proposed in this paper. 2022-05-05 2022-05-07 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 vol issue 2022 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 2022-04-14 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 issue 2022 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 2022-03-03 Not clear
Ying Qian, Xuelian Li, Qian Zhang, Jiongmin Zhan. SPP-CPI: Predicting Compound-Protein Interactions Based on Neural Networks. IEEE/ACM transactions on computational biology and bioinformatics vol PP issue 2021 34043511 on the other hand, a distance matrix does not require complex data preprocessing for the molecular structure as the molecular graph representation, and is easier to obtain; 2) it uses spp(spatial pyramid pooling)-net to extract compound features, which has been successfully applied in image classification; and 3) it extracts protein features through the natural language processing method (doc2vec) to obtain sequence semantic information. 2022-02-04 2022-01-13 Not clear
Juan Su. Variational Fuzzy Neural Network Algorithm for Music Intelligence Marketing Strategy Optimization. Computational intelligence and neuroscience vol 2022 issue 2022 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 2022-01-27 Not clear
Zhou Huang, Yu Han, Leibo Liu, Qinghua Cui, Yuan Zho. LE-MDCAP: A Computational Model to Prioritize Causal miRNA-Disease Associations. International journal of molecular sciences vol 22 issue 24 2021 34948403 le-mdcap integrated mirna similarity matrices, disease semantic similarity matrix and known causal mirna-disease associations to make predictions. 2021-12-24 2022-01-13 Not clear
Lei Li, Zhen Gao, Chun-Hou Zheng, Rong Qi, Yu-Tian Wang, Jian-Cheng N. Predicting miRNA-Disease Association Based on Improved Graph Regression. IEEE/ACM transactions on computational biology and bioinformatics vol PP issue 2021 34757912 in order to reduce the inherent noise existing in the acquired biological datasets, we utilized matrix decomposition algorithm to process mirna functional similarity and disease semantic similarity and then combining them with existing similarity information to obtain final mirna similarity data and disease similarity data. 2021-11-17 2022-01-13 Not clear
Lei Cai, Chuang Chen, Haojie Cha. Underwater Distortion Target Recognition Network (UDTRNet) via Enhanced Image Features. Computational intelligence and neuroscience vol 2021 issue 2021 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 2022-01-13 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 issue 2021 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 2022-01-13 Not clear
Ahmet Toprak, Esma Eryilmaz Doga. Prediction of Potential MicroRNA-Disease Association Using Kernelized Bayesian Matrix Factorization. Interdisciplinary sciences, computational life sciences vol 13 issue 4 2021 34370220 in this paper, a kernelized bayesian matrix factorization (kbmf) technique was suggested to predict new relations among mirnas and diseases with several information such as mirna functional similarity, disease semantic similarity, and known relations among mirnas and diseases. 2021-10-19 2022-01-13 Not clear
Meng-Meng Yin, Zhen Cui, Ming-Ming Gao, Jin-Xing Liu, Ying-Lian Ga. LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. IEEE/ACM transactions on computational biology and bioinformatics vol 18 issue 3 2021 31478868 in addition, logistic function is applied to mirna functional similarity matrix and disease semantic similarity matrix to extract valuable information. 2021-08-30 2022-01-13 Not clear
Naomar Almeida-Filh. [Health inequalities: new theoretical perspectives]. Salud colectiva vol 16 issue 2021 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 2022-01-13 Not clear
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