Tensor Factorization for Precision Medicine in Heart Failure with Preserved Ejection Fraction
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Cardiovascular Translational Research"
DOI: 10.1007/s12265-016-9727-8
Abstract: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous clinical syndrome that may benefit from improved subtyping in order to better characterize its pathophysiology and to develop novel targeted therapies. The United States Precision… read more here.
Keywords: medicine; precision medicine; heart failure; tensor factorization ... See more keywords
Nonnegative tensor factorization for contaminant source identification.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of contaminant hydrology"
DOI: 10.1016/j.jconhyd.2018.11.010
Abstract: Unsupervised Machine Learning (ML) is becoming increasingly popular for solving various types of data analytics problems including feature extraction, blind source separation, exploratory analyses, model diagnostics, etc. Here, we have developed a new unsupervised ML… read more here.
Keywords: methodology; tensor factorization; groundwater types; contaminant ... See more keywords
Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.091
Abstract: Non-recurrent traffic congestion (NRTC) usually brings unexpected delays to commuters. Hence, it is critical to accurately detect and recognize the NRTC in a real-time manner. The advancement of road traffic detectors and loop detectors provides… read more here.
Keywords: traffic; framework; tensor; bayesian robust ... See more keywords
Viral quasispecies reconstruction via tensor factorization with successive read removal
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty291
Abstract: Motivation As RNA viruses mutate and adapt to environmental changes, often developing resistance to anti‐viral vaccines and drugs, they form an ensemble of viral strains‐‐a viral quasispecies. While high‐throughput sequencing (HTS) has enabled in‐depth studies… read more here.
Keywords: tensor factorization; quasispecies reconstruction; viral quasispecies;
Shape-Adaptive Tensor Factorization Model for Dimensionality Reduction of Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2935496
Abstract: Tensor-based dimensionality reduction (DR) of hyperspectral images is a promising research topic. However, patch-based tensorization usually adopts a squared neighborhood with fixed window size, which may be inaccurate in modeling the local spatial information in… read more here.
Keywords: shape adaptive; tensor; hyperspectral images; dimensionality reduction ... See more keywords
Adaptive Hypergraph Regularized Multilayer Sparse Tensor Factorization for Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3241115
Abstract: Hyperspectral unmixing with tensor models has received great attention in recent years. A tensor-based decomposition method can effectively represent the structural feature of hyperspectral images; however, the obtained results may be physically uninterpretable. To overcome… read more here.
Keywords: tensor factorization; tensor; adaptive hypergraph; hyperspectral unmixing ... See more keywords
Urban Trajectory Analytics: Day-of-Week Movement Pattern Mining Using Tensor Factorization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2018.2868122
Abstract: This paper demonstrates the use of non-negative tensor factorization to extract underlying spatio-temporal movement patterns from large-scale urban trajectory data. Individual trajectory data obtained from public transport smart card systems and roadside Bluetooth detectors are… read more here.
Keywords: day week; day; week; tensor factorization ... See more keywords
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2941716
Abstract: Joint analysis of data from multiple information repositories facilitates uncovering the underlying structure in heterogeneous datasets. Single and coupled matrix-tensor factorization (CMTF) has been widely used in this context for imputation-based recommendation from ratings, social… read more here.
Keywords: tensor; factorization; community detection; tensor factorization ... See more keywords
Complex Tensor Factorization With PARAFAC2 for the Estimation of Brain Connectivity From the EEG
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2018.2883514
Abstract: The coupling between neuronal populations and its magnitude have been shown to be informative for various clinical applications. One method to estimate functional brain connectivity is with electroencephalography (EEG) from which the cross spectrum between… read more here.
Keywords: brain connectivity; eeg; connectivity; tensor factorization ... See more keywords
Nesterov-Based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2777399
Abstract: We consider the problem of nonnegative tensor factorization. Our aim is to derive an efficient algorithm that is also suitable for parallel implementation. We adopt the alternating optimization framework and solve each matrix nonnegative least-squares… read more here.
Keywords: tensor factorization; nonnegative tensor; parallel implementation;
Predicting clinically promising therapeutic hypotheses using tensor factorization
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-2664-1
Abstract: BackgroundDetermining which target to pursue is a challenging and error-prone first step in developing a therapeutic treatment for a disease, where missteps are potentially very costly given the long-time frames and high expenses of drug… read more here.
Keywords: predicting clinically; tensor; drug; tensor factorization ... See more keywords