Results 11 to 20 of about 63,767 (263)

Smartphone dependence classification using tensor factorization. [PDF]

PLoS ONE, 2017
Excessive smartphone use causes personal and social problems. To address this issue, we sought to derive usage patterns that were directly correlated with smartphone dependence based on usage data.
Jingyun Choi, Mi Jung Rho, Yejin Kim, In Hye Yook, Hwanjo Yu, Dai-Jin Kim, In Young Choi   +6 more
doaj   +7 more sources

Detecting time-evolving phenotypic components of adverse reactions against BNT162b2 SARS-CoV-2 vaccine via non-negative tensor factorization [PDF]

iScience, 2022
Summary: Symptoms of adverse reactions to vaccines evolve over time, but traditional studies have focused only on the frequency and intensity of symptoms.
Kei Ikeda, Taka-Aki Nakada, Takahiro Kageyama, Shigeru Tanaka, Naoki Yoshida, Tetsuo Ishikawa, Yuki Goshima, Natsuko Otaki, Shingo Iwami, Teppei Shimamura, Toshibumi Taniguchi, Hidetoshi Igari, Hideki Hanaoka, Koutaro Yokote, Koki Tsuyuzaki, Hiroshi Nakajima, Eiryo Kawakami   +16 more
doaj   +2 more sources

Global and Local Tensor Factorization for Multi-criteria Recommender System [PDF]

Patterns, 2020
Summary: In multi-criteria recommender systems, matrix factorization characterizes users and items via latent factor vectors inferred from user-item rating patterns.
Shuliang Wang, Jingting Yang, Zhengyu Chen, Hanning Yuan, Jing Geng, Zhen Hai   +5 more
doaj   +2 more sources

Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach. [PDF]

PLoS ONE, 2014
The increasing availability of temporal network data is calling for more research on extracting and characterizing mesoscopic structures in temporal networks and on relating such structure to specific functions or properties of the system. An outstanding
Laetitia Gauvin, André Panisson, Ciro Cattuto   +2 more
doaj   +6 more sources

Offline and online coupled tensor factorization with knowledge graph. [PDF]

PLoS ONE
How can we accurately decompose a temporal irregular tensor along while incorporating a related knowledge graph tensor in both offline and online streaming settings? PARAFAC2 decomposition is widely applied to the analysis of irregular tensors consisting
SeungJoo Lee, Yong-Chan Park, U Kang
doaj   +2 more sources

Temporal Network Embedding via Tensor Factorization [PDF]

Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021
Representation learning on static graph-structured data has shown a significant impact on many real-world applications. However, less attention has been paid to the evolving nature of temporal networks, in which the edges are often changing over time.
Ma, Jing, Zhang, Qiuchen, Lou, Jian, Xiong, Li, Ho, Joyce C.   +4 more
openaire   +4 more sources

Tensor Factorization for Low-Rank Tensor Completion

IEEE Transactions on Image Processing, 2018
Recently, a tensor nuclear norm (TNN) based method was proposed to solve the tensor completion problem, which has achieved state-of-the-art performance on image and video inpainting tasks. However, it requires computing tensor singular value decomposition (t-SVD), which costs much computation and thus cannot efficiently handle tensor data, due to its ...
Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang   +3 more
openaire   +5 more sources

Bayesian factorizations of big sparse tensors [PDF]

Journal of the American Statistical Association, 2013
It has become routine to collect data that are structured as multiway arrays (tensors). There is an enormous literature on low rank and sparse matrix factorizations, but limited consideration of extensions to the tensor case in statistics.
Bhattacharya, Anirban, Dunson, David, Herring, Amy, Zhou, Jing   +3 more
core   +4 more sources

Tensor factorization toward precision medicine [PDF]

Briefings in Bioinformatics, 2016
Precision medicine initiatives come amid the rapid growth in quantity and variety of biomedical data, which exceeds the capacity of matrix-oriented data representations and many current analysis algorithms. Tensor factorizations extend the matrix view to multiple modalities and support dimensionality reduction methods that identify latent groups of ...
Luo, Yuan, Wang, Fei, Szolovits, Peter
openaire   +5 more sources

C-ziptf: stable tensor factorization for zero-inflated multi-dimensional genomics data [PDF]

BMC Bioinformatics
In the past two decades, genomics has advanced significantly, with single-cell RNA-sequencing (scRNA-seq) marking a pivotal milestone. ScRNA-seq provides unparalleled insights into cellular diversity and has spurred diverse studies across multiple ...
Daniel Chafamo, Vignesh Shanmugam, Neriman Tokcan   +2 more
doaj   +2 more sources