Results 81 to 90 of about 19,436 (200)

Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks

, 2016
Conventional collaborative filtering techniques treat a top-n recommendations problem as a task of generating a list of the most relevant items. This formulation, however, disregards an opposite - avoiding recommendations with completely irrelevant items.
Frolov, Evgeny, Oseledets, Ivan
core   +1 more source

VarCoNet: A Variability‐Aware Self‐Supervised Framework for Functional Connectome Extraction From Resting‐State fMRI

Human Brain Mapping, Volume 47, Issue 4, March 2026.
VarCoNet is a robust framework for functional connectome estimation from rs‐fMRI. Using contrastive learning, it trains a 1D‐CNN–Transformer encoder to improve the intra‐ to intersubject variability ratio. VarCoNet achieves state‐of‐the‐art subject fingerprinting and outperforms existing methods in ASD classification.
Charalampos Lamprou, Aamna Alshehhi, Leontios J. Hadjileontiadis, Mohamed L. Seghier   +3 more
wiley   +1 more source

STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery

, 2017
In recent years, a class of dictionaries have been proposed for multidimensional (tensor) data representation that exploit the structure of tensor data by imposing a Kronecker structure on the dictionary underlying the data.
Bajwa, Waheed U., Ghassemi, Mohsen, Sarwate, Anand D., Shakeri, Zahra   +3 more
core   +1 more source

Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation

Human Brain Mapping, Volume 47, Issue 4, March 2026.
Using the proposed automated Untamed atlas generation pipeline, the resulting atlas achieves higher or comparable task contrast alignment relative to 14 baseline atlases. Ablation studies further show that incorporating spatial maps from NASCAR tensor decomposition yields higher resting‐state functional connectivity homogeneity compared to atlases ...
Yijun Liu, Jian Li, Jessica L. Wisnowski, Richard M. Leahy   +3 more
wiley   +1 more source

Low-Rank Tensor Completion for Image and Video Recovery via Capped Nuclear Norm

IEEE Access, 2019
Inspired by the robustness and efficiency of the capped nuclear norm, in this paper, we apply it to 3D tensor applications and propose a novel low-rank tensor completion method via tensor singular value decomposition (t-SVD) for image and video recovery.
Xi Chen, Jie Li, Yun Song, Feng Li, Jianjun Chen, Kun Yang   +5 more
doaj   +1 more source

Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising

IEEE Access, 2020
Hyperspectral data have been widely used in various fields due to its rich spectral and spatial information in recent years. Yet, hyperspectral images are always tainted by a variety of mixed noises.
Guxi Wang, Hongwei Han, Emmanuel John M. Carranza, Si Guo, Ke Guo, Keyan Xiao   +5 more
doaj   +1 more source

Residual Chemical Shift Anisotropies in the Structure Determination of Small Molecules

Magnetic Resonance in Chemistry, Volume 64, Issue 3, Page 286-311, March 2026.
Plasma neutrophil elastase(ELANE) was markedly elevated in patients with alcohol use disorder, indicating a dysregulated protease‐antiprotease inflammatory balance characterised by decreased SERPINA3. ELANE showed excellent diagnostic specificity(AUC = 0.8683), supporting its potential utility as a neuroinflammatory biomarker for AUD.
Nilamoni Nath, Juan Carlos Fuentes Monteverde, Swaraj Pathak, Christian Griesinger   +3 more
wiley   +1 more source

Structural brain network measures are superior to vascular burden scores in predicting early cognitive impairment in post stroke patients with small vessel disease

NeuroImage: Clinical, 2019
Objectives: In this cross-sectional study, we aimed to explore the mechanisms of early cognitive impairment in a post stroke non-dementia cerebral small vessel disease (SVD) cohort by comparing the SVD score with the structural brain network measures ...
Jing Du, Yao Wang, Nan Zhi, Jieli Geng, Wenwei Cao, Ling Yu, Jianhua Mi, Yan Zhou, Qun Xu, Wei Wen, Perminder Sachdev   +10 more
doaj   +1 more source

Global ethnic disparities in cerebral small vessel disease imaging markers and vascular risk factors: a systematic review and meta‐analysis

Alzheimer's &Dementia, Volume 22, Issue 2, February 2026.
Abstract Ethnic disparities in cerebral small vessel disease (CSVD) have been reported, but no systematic synthesis has compared markers and vascular risk factors across populations. We conducted a PROSPERO‐registered systematic review and meta‐analysis (CRD42024518105) including over two million community‐dwelling adults.
Nikita K. Husein, Keshuo Lin, David K. E. Chan, Jiyang Jiang, John D. Crawford, Perminder S. Sachdev, Wei Wen   +6 more
wiley   +1 more source

Internet traffic data recovery via a low-rank spatio-temporal regularized optimization approach without d-th order T-SVD

Frontiers in Applied Mathematics and Statistics
Accurate recovery of Internet traffic data can mitigate the adverse impact of incomplete data on network task processes. In this study, we propose a low-rank recovery model for incomplete Internet traffic data with a fourth-order tensor structure ...
Yuxuan Duan, Chen Ling, Jinjie Liu, Xinmin Yang   +3 more
doaj   +1 more source