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

Subjects: “…Big data and data science…”
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A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization

Subjects: “…Big data and data science…”
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Grace: a scalable framework for graph embedding with autoencoder-based feature compression and random walks

Subjects: “…Big data and data science…”
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Explainability and uncertainty for time-series classification in cryptocurrency data: a hybrid XAI methodology based on COMTE and LEFTIST

Subjects: “…Big data and data science…”
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Leveraging large language models for document classification in the banking sector

Subjects: “…Big data and data science…”
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The LASSO path as a feature importance proxy

Subjects: “…Big data and data science…”
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Enhancing large language models for scientific entity recognition via fully automated self-distillation

Subjects: “…Big data and data science…”
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MiniRFANN: Range-Filtered Approximate Vector Similarity Search on Edge Devices

Subjects: “…Big data and data science…”
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COIN: Graph Contrastive Learning with Orthogonal Continuous Augmentation and Information Balance

Subjects: “…Big data and data science…”
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Synthetic data through combinatorial optimization of pairwise probabilities

Subjects: “…Big data and data science…”
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Hybrid recommendation framework: integrating behavioral clustering, network centrality, and advanced deep learning models

Subjects: “…Big data and data science…”
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Predicting protein cascade expression from H&E images

Subjects: “…PLOS Computational Biology Atom…”
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Co-morbid biomarkers for sarcopenic obesity associated with gut microbiota metabolites: From burden to treatment

Subjects: “…PLOS Computational Biology Atom…”
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Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach

Subjects: “…PLOS Computational Biology Atom…”
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Single-cell data integration across weakly linked modalities

Subjects: “…PLOS Computational Biology Atom…”
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Synthetic data enables human-grade microtubule analysis with foundation models for segmentation

Subjects: “…PLOS Computational Biology Atom…”
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Application of machine learning with MALDI-TOF MS for rapid differentiation between methicillin-susceptible and methicillin-resistant Staphylococcus aureus

Subjects: “…PLOS Computational Biology Atom…”
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Ten simple rules for an effective mentor–mentee writing partnership

Subjects: “…PLOS Computational Biology Atom…”
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AIEdit: Alignment-free genome assembly polisher trained on spaced seed match patterns

Subjects: “…PLOS Computational Biology Atom…”
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Exploring epidemic control policies using nonlinear programming and mathematical models

Subjects: “…PLOS Computational Biology Atom…”
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