Multi-view subspace clustering via low-rank consensus projection matrix

Subjects: “…Big data and Data science…”
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Real-Time Dynamic Response Identification for Highway Structural Health Monitoring Data

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Relationship-based Access Control for Data Spaces

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D3A-TS: denoising-driven data augmentation in time series

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Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation

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Attention-enhanced BiLSTM for causal sentiment mining in noisy social-media streams

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Reinforcement learning for energy management in fuel cell hybrid electric vehicles: an up-to-date review with topology-centric insights

Subjects: “…Big data and Data science…”
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Systematic literature review on sentiment analysis using transformers

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CNN-based deep learning approach for multiclass prediction of fin-tech startups

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Dynamic Sub-Sequence Warping: A Representation-Based Similarity Measure for Long Time Series

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Global natural gas trade forecast via hybrid machine learning

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AdamMAD: Improved Second-Moment of Adam for Enhancing Stability and Convergence

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WALDEN: Workload-Aware Learned Tree Index

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On-Demand Augmentation for Long-Tail Data Through Subset- and Topic-Driven Sparsity Identification Framework

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Unsupervised Anomaly Detection on Attributed Multiplex Heterogeneous Networks

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A Survey on Modern Deep Learning Techniques for Traffic Volume Prediction

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Efficient Label-Constrained Path Queries on Time-Dependent Graphs via LP-Tree Decomposition

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IBformer: Inductive Bias is Necessary for Multivariate Time Series Forecasting

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A Survey of Generative Techniques for Spatial-Temporal Data Mining

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Enumerating Cliques on -Partite Graphs

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