All Relations between semantics and matrix compartment

Reference Sentence Publish Date Extraction Date Species
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
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 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 2022-01-13 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 issue 2021 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 2022-01-13 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 issue 2021 34326867 specifically, firstly, the teacher model adopted an unsupervised semantic alignment hashing method, which can construct a modal fusion similarity matrix. 2021-08-02 2022-01-13 Not clear
Shaoyu Tao, Chaoyuan Shen, Li Zhu, Tao Da. SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation. Computational intelligence and neuroscience vol 2020 issue 2021 33149736 in existing neural network-based approaches, overcorrelation in the weight matrix influences semantic similarity, which is a difficult problem to solve. 2021-07-28 2022-01-13 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 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 2022-01-13 Not clear
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 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 2022-01-13 Not clear
Thirunavukarasu Balasubramaniam, Richi Nayak, Khanh Luong, Md Abul Basha. Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. Social network analysis and mining vol 11 issue 1 2021 34149960 moreover, the coupled matrix tensor representation has improved the quality of topics discovered from unlabelled data up to 4% by leveraging the semantic similarity of terms in labelled data. 2021-06-22 2022-01-13 Not clear
Page: 
1   2   3   4   5   6