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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Fine-Grained Disentanglement for Alleviating Inconsistencies in Cross-Modal Hashing Retrieval

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Data Platforms for Multi-organizational Settings: A Systematic Literature Review with Use Cases and a Reference Architecture

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Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances

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Limit Order Book Event Stream Prediction with Diffusion Model

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Convergence and clustering analysis for mean shift with radially symmetric, positive definite kernels

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Cracking the code: enhancing development finance understanding with artificial intelligence

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Correction: Democratizing marine restoration best practices in a digital toolbox

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Uncertainty-aware synthetic data generation: a systematic review of methods and challenges

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A hybrid method for biomedical long-document summarization using an ensemble extraction approach and a transformer-based model

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Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data

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DistilBERT-GNN: a powerful approach to social media event detection

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RG-Hybrid: pure late fusion of RoBERTa and a graph transformer for robust, interpretable sentiment classification

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Predicting online shopping intentions using TabNet-based ensemble learning approach

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Higher-order linegraph topology for intrusion detection: a hypergraph approach

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Signal from noise: a neural network-based denoising approach for measuring global financial spillovers

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