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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Integrating microbiome data visualization into FAIRDatabase using edge functions

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An empirical study based on network embeddings and clustering techniques for community detection in signed social networks

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A tensor-based dimensionality reduction framework for vehicle trajectory compression and anonymization

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Large language models for generative recommendation: a systematic review of data-centric taxonomy, evaluation, and human-centric analytics

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A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization

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Grace: a scalable framework for graph embedding with autoencoder-based feature compression and random walks

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