| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Remco R Bouckaer. Variational Bayesian phylogenies through matrix representation of tree space. PeerJ. vol 12. 2024-05-03. PMID:38699195. |
variational bayesian phylogenies through matrix representation of tree space. |
2024-05-03 |
2024-05-05 |
Not clear |
| Remco R Bouckaer. Variational Bayesian phylogenies through matrix representation of tree space. PeerJ. vol 12. 2024-05-03. PMID:38699195. |
in this article, we study the distance matrix as a representation of a phylogeny by way of hierarchical clustering. |
2024-05-03 |
2024-05-05 |
Not clear |
| Remco R Bouckaer. Variational Bayesian phylogenies through matrix representation of tree space. PeerJ. vol 12. 2024-05-03. PMID:38699195. |
we also demonstrate how to use a matrix representation of a tree distribution to get better summary trees than commonly used maximum clade credibility trees. |
2024-05-03 |
2024-05-05 |
Not clear |
| Xuyun Wen, Mengting Yang, Shile Qi, Xia Wu, Daoqiang Zhan. Automated individual cortical parcellation via consensus graph representation learning. NeuroImage. 2024-05-02. PMID:38697587. |
this not only ensures consistency in brain representations across different subjects but also enhances the quality of each subject's representation matrix by eliminating spurious connections. |
2024-05-02 |
2024-05-05 |
human |
| Pengfei Zhu, Jialu Li, Zhe Dong, Qinghua Hu, Xiao Wang, Qilong Wan. CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks. IEEE transactions on neural networks and learning systems. vol PP. 2024-04-30. PMID:38683705. |
subsequently, our ccp aggregates node-level second-order representations in conjunction with node weights by summation to produce a covariance representation for each graph, while an iterative matrix normalization is introduced to consider geometry of covariances. |
2024-04-30 |
2024-05-03 |
Not clear |
| Thomas Botzung, Pierre Nata. Exact Diagonalization of SU(N) Fermi-Hubbard Models. Physical review letters. vol 132. issue 15. 2024-04-29. PMID:38682973. |
using the representation theory of the unitary group u(l), we demonstrate that a convenient orthonormal basis, on which matrix elements of the hamiltonian are very simple, is given by the set of semistandard young tableaux (or, equivalently, the gelfand-tsetlin patterns) corresponding to the targeted irrep. |
2024-04-29 |
2024-05-02 |
Not clear |
| Dong Ouyang, Yong Liang, Jinfeng Wang, Le Li, Ning Ai, Junning Feng, Shanghui Lu, Shuilin Liao, Xiaoying Liu, Shengli Xi. HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations. PLoS computational biology. vol 20. issue 4. 2024-04-23. PMID:38652712. |
finally, the integrated representation information was fed into a neural network-based matrix completion method to perform mirna-disease association prediction. |
2024-04-23 |
2024-04-26 |
human |
| G Madureira, B Mion, B Van Winters, F Peñagaricano, J Li, E S Ribeir. Endometrial responsiveness to interferon-tau and its association with subsequent reproductive performance in dairy heifers. Journal of dairy science. 2024-04-20. PMID:38642656. |
analysis of endometrial transcriptome between hf and sf heifers revealed important differences in the expression of proteins associated with cell signaling, metabolism, attachment, and migration, with a large representation of genes encoding extracellular matrix proteins. |
2024-04-20 |
2024-04-23 |
cattle |
| Louis N Irwi. Behavioral indicators of heterogeneous subjective experience in animals across the phylogenetic spectrum: Implications for comparative animal phenomenology. Heliyon. vol 10. issue 7. 2024-04-16. PMID:38623251. |
diagrams of the matrix constructed from the three qualitative modes and three quantitative attributes for each mode provide a metaphorical representation of the unique experiential profile of each species. |
2024-04-16 |
2024-04-18 |
Not clear |
| Hui Liu, Feng Wang, Jian Yu, Yong Pan, Chaoju Gong, Liang Zhang, Lin Zhan. DBDNMF: A Dual Branch Deep Neural Matrix Factorization method for drug response prediction. PLoS computational biology. vol 20. issue 4. 2024-04-04. PMID:38574114. |
dbdnmf learns the latent representation of drugs and cell lines through flexible inputs and reconstructs the partially observed matrix through a series of hidden neural network layers. |
2024-04-04 |
2024-04-07 |
Not clear |
| Thorsten Hempel, Ahmed A Abdelrahman, Ayoub Al-Hamad. Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2024-03-22. PMID:38512742. |
we address the issue of ambiguous rotation labels by introducing the rotation matrix formalism for our ground truth data and propose a continuous 6d rotation matrix representation for efficient and robust direct regression. |
2024-03-22 |
2024-03-24 |
Not clear |
| Fatemeh Rafiei, Hojjat Zeraati, Karim Abbasi, Parvin Razzaghi, Jahan B Ghasemi, Mahboubeh Parsaeian, Ali Masoudi-Neja. CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy Prediction. Journal of chemical information and modeling. 2024-03-22. PMID:38514966. |
then, the new cell line representation is computed by multiplying the protein-protein similarity matrix and the initial cell line representation. |
2024-03-22 |
2024-03-24 |
Not clear |
| Rui Wang, Xiao-Jun Wu, Ziheng Chen, Cong Hu, Josef Kittle. SPD Manifold Deep Metric Learning for Image Set Classification. IEEE transactions on neural networks and learning systems. vol PP. 2024-03-13. PMID:38470600. |
specifically, smdml first selects a prevailing spd manifold neural network (spdnet) as the backbone (encoder) to derive an spd matrix nonlinear representation. |
2024-03-13 |
2024-03-15 |
Not clear |
| Robin Ristl, Heiko Götte, Armin Schüler, Martin Posch, Franz Köni. Simultaneous inference procedures for the comparison of multiple characteristics of two survival functions. Statistical methods in medical research. 2024-03-11. PMID:38465602. |
by using the counting process representation of the mentioned parameters, we show that their estimates are asymptotically multivariate normal and we provide an estimate for their covariance matrix. |
2024-03-11 |
2024-03-14 |
Not clear |
| Fuli Wang, Karelia Pena-Pena, Wei Qian, Gonzalo R Arc. T-HyperGNNs: Hypergraph Neural Networks via Tensor Representations. IEEE transactions on neural networks and learning systems. vol PP. 2024-03-08. PMID:38451750. |
in this article, we depart from hypergraph matrix representations and present a new tensor-hypergnn (t-hypergnn) framework with cross-node interactions (cnis). |
2024-03-08 |
2024-03-10 |
Not clear |
| Jiayang Jiang, Ming Zhang, Aosheng Gu, R J Dwayne Miller, Zheng L. Quantum tomography of molecules using ultrafast electron diffraction. The Journal of chemical physics. vol 160. issue 10. 2024-03-08. PMID:38456529. |
from the simulated time-resolved diffraction data, we retrieve the evolving density matrix in a crude diabatic representation basis and reveal the symmetry of the excited pyrrole wavepacket. |
2024-03-08 |
2024-03-10 |
Not clear |
| Jinrong Cui, Zhipeng He, Qiong Huang, Yulu Fu, Yuting Li, Jie We. Structure-aware contrastive hashing for unsupervised cross-modal retrieval. Neural networks : the official journal of the International Neural Network Society. vol 174. 2024-03-06. PMID:38447425. |
specifically, we concurrently employ both high-dimensional representations and discriminative representations learned by the network to construct a more informative semantic correlative matrix across modalities. |
2024-03-06 |
2024-03-09 |
Not clear |
| Xin Cao, Jia Li, Panpan Zhao, Jiachen Li, Xueying Qi. Corr-Track: Category-Level 6D Pose Tracking with Soft-Correspondence Matrix Estimation. IEEE transactions on visualization and computer graphics. vol PP. 2024-03-05. PMID:38437129. |
we first introduce a soft correspondence matrix for pose tracking tasks and establish effective constraints through direct spatial point-to-point correspondence representations in the sparse point cloud correspondence matrix. |
2024-03-05 |
2024-03-07 |
Not clear |
| Abdullah A Asiri, Ahmad Shaf, Tariq Ali, Muhammad Ahmad Pasha, Aiza Khan, Muhammad Irfan, Saeed Alqahtani, Ahmad Alghamdi, Ali H Alghamdi, Abdullah Fahad A Alshamrani, Magbool Alelyani, Sultan Alamr. Advancing brain tumor detection: harnessing the Swin Transformer's power for accurate classification and performance analysis. PeerJ. Computer science. vol 10. 2024-03-04. PMID:38435590. |
utilizing 21 matrices for performance evaluation across all four classes, these matrices provide a detailed insight into the model's behavior throughout the learning process, furthermore showcasing a graphical representation of confusion matrix, training and validation loss and accuracy. |
2024-03-04 |
2024-03-06 |
Not clear |
| Petra Csizmadia, Boglárka Nagy, Lili Kővári, Zsófia Anna Gaá. Exploring the role of working memory gate opening process in creativity: An ERP study using the reference-back paradigm. Biological psychology. 2024-02-28. PMID:38417665. |
our results suggest that groups with different levels of convergent thinking (based on matrix reasoning) and those with lower dt (based on creativity index) tend to select and activate the prefrontal cortex representation containing the required task information at an earlier stage, compared to those with better dt. |
2024-02-28 |
2024-03-02 |
Not clear |