| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Dongjie Liu, Dawei Li, N N Sze, Hongliang Ding, Yuchen Son. An integrated data- and theory-driven crash severity model. Accident; analysis and prevention. vol 193. 2023-09-18. PMID:37722256. |
(i) the data-driven component not only mitigate the deficiencies of traditional econometric models, where one-hot encoding is frequently used and makes it impossible to observe semantic relatedness between variable categories, but also enhances the interpretability for the relationship between crash severity and potential influencing factors using the learned embedding weight matrix. |
2023-09-18 |
2023-10-07 |
Not clear |
| Siqi Wang, Xiaosheng Yu, Wenzhuo Jia, Jianning Chi, Pengfei Lv, Junxiang Wang, Chengdong W. Optic disc detection based on fully convolutional network and weighted matrix recovery model. Medical & biological engineering & computing. 2023-09-05. PMID:37668892. |
secondly, the top-down semantic prior information provided by fcn and bottom-up background prior information of the optic disc region are used to jointly construct the prior information weighting matrix, which more accurately guides the decomposition of the feature matrix into a sparse matrix representing the optic disc and a low-rank matrix representing the background. |
2023-09-05 |
2023-09-07 |
human |
| Qian Zhang, Lu Chen, Mingwen Shao, Hong Liang, Jie Re. ESAMask: Real-Time Instance Segmentation Fused with Efficient Sparse Attention. Sensors (Basel, Switzerland). vol 23. issue 14. 2023-07-29. PMID:37514740. |
rspa uses the adjacency matrix to search for regions with high semantic correlation of the same target, which reduces computational cost. |
2023-07-29 |
2023-08-14 |
Not clear |
| Hengyuan Zhang, Shashank Venkatramani, David Paz, Qinru Li, Hao Xiang, Henrik I Christense. Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments. Sensors (Basel, Switzerland). vol 23. issue 14. 2023-07-29. PMID:37514797. |
our pipeline utilizes semantic segmentation of 2d images, associates semantic labels with points in point cloud maps to pinpoint locations in the physical world, and employs a confusion matrix formulation to generate a probabilistic bird's-eye view semantic map from semantic point clouds. |
2023-07-29 |
2023-08-14 |
Not clear |
| Sophie Arana, Peter Hagoort, Jan-Mathijs Schoffelen, Milena Rabovsk. Perceived similarity as a window into representations of integrated sentence meaning. Behavior research methods. 2023-06-29. PMID:37382814. |
in addition, we show how non-negative matrix factorization of similarity judgment data can reveal multiple underlying dimensions reflecting both semantic as well as relational role information. |
2023-06-29 |
2023-08-14 |
human |
| Wei Liu, Yi Huang, Yue Sun, Changlong Y. Research on design elements of household medical products for rhinitis based on AHP. Mathematical biosciences and engineering : MBE. vol 20. issue 5. 2023-05-10. PMID:37161231. |
first, the ahp model and evaluation matrix of design elements were established and sorted out by semantic analysis of users' research results. |
2023-05-10 |
2023-08-14 |
Not clear |
| Zhan Yang, Xiyin Deng, Lin Guo, Jun Lon. Asymmetric Supervised Fusion-Oriented Hashing for Cross-Modal Retrieval. IEEE transactions on cybernetics. vol PP. 2023-04-06. PMID:37022860. |
then, we associate the common latent representation with the semantic label matrix, thereby increasing the discriminative capability of the model by constructing an asymmetric hash learning framework, thus, making the generated hash codes more compact. |
2023-04-06 |
2023-08-14 |
Not clear |
| Guo Mao, Zhengbin Pang, Ke Zuo, Jie Li. Gene Regulatory Network Inference Using Convolutional Neural Networks from scRNA-seq Data. Journal of computational biology : a journal of computational molecular cell biology. 2023-03-06. PMID:36877552. |
and the cnnse model is able to obtain detailed and high-level semantic information from the 2d co-expression matrix. |
2023-03-06 |
2023-08-14 |
Not clear |
| Jianlong Zhang, Xincheng Yu, Bin Wang, Chen Che. Generated Image Editing Method Based on Global-Local Jacobi Disentanglement for Machine Learning. Sensors (Basel, Switzerland). vol 23. issue 4. 2023-02-28. PMID:36850416. |
in terms of global disentanglement, we extract the weight matrix of the style layer in the pre-trained stylegan2 network; obtain the semantic attribute direction vector by using the weight matrix eigen decomposition method; finally, utilize this direction vector as the initialization vector for the jacobi orthogonal regularization search algorithm. |
2023-02-28 |
2023-08-14 |
Not clear |
| Yaru Wang, Lilong Feng, Xiaoke Song, Dawei Xu, Yongjie Zha. Zero-Shot Image Classification Method Based on Attention Mechanism and Semantic Information Fusion. Sensors (Basel, Switzerland). vol 23. issue 4. 2023-02-28. PMID:36850908. |
a semantic information fusion method based on matrix decomposition is proposed, which first decomposes the attribute features and then fuses them with the extracted word vector features of a dataset to achieve information expansion. |
2023-02-28 |
2023-08-14 |
Not clear |
| Supriya Kinariwala, Sachin Deshmuk. Short text topic modelling using local and global word-context semantic correlation. Multimedia tools and applications. 2023-02-07. PMID:36747894. |
in the proposed model, seanmf (semantics-assisted non-negative matrix factorization) is incorporated with word2vec model of gensim library to strengthen the word's semantic relationship. |
2023-02-07 |
2023-08-14 |
Not clear |
| 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 |