Bayesian Tensor Decomposition for Clustering Latent Symptom Profiles for Verbal Autopsy Data. [PDF]
Zhu Y, Li ZR.
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PARAFAC-SPARK: Parallel tensor decompositions on spark
Tensors are higher order matrices, widely used in many data science applications and scienti c disciplines. The Canonical Polyadic Decomposition (also known as CPD/PARAFAC) is a widely adopted tensor factorization to discover and extract latent features of tensors usually applied via alternating squares (ALS) method.
openaire +2 more sources
Enhancing Soil Water-Soluble Carbon Stability Structure Through Straw Return in Maize-Soybean Rotation in Mollisols. [PDF]
Kuang E +8 more
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Interpretable multi-omics integration across mixed-order tensors with MANTRA. [PDF]
De Azevedo K, Oruc YB, Buettner F.
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Extraction method shapes soil water-soluble organic matter composition as revealed by absorbance, fluorescence, and parallel factor analysis (PARAFAC). [PDF]
Fasching C +4 more
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Connecting Brown Carbon Composition and Physicochemical Properties of Aqueous Urban PM<sub>2.5</sub> to their Photosensitized Production of Singlet Oxygen and Organic Triplet Excited States. [PDF]
Lyu Y +5 more
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Variations in the Optical and Molecular Composition of Dissolved Organic Matter Exported from Coastal Wetlands. [PDF]
Kim J +10 more
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Mineral-specific effects on humification and bacterial community succession in industrial-scale spent mushroom substrate composting. [PDF]
Chang Y +8 more
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Exploring Environmental Element Monitoring Data Using Chemometric Techniques: A Practical Case Study from the Tremiti Islands (Italy). [PDF]
Russo RE +5 more
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Size- and Concentration-Resolved Detection of PET Microplastics in Real Water via Excitation-Emission Matrix Fluorescence Quenching of Polyamide-Derived Carbon Quantum Dots. [PDF]
Enyoh CE, Wang Q.
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