Inf-DLFS: integrating deep learning with optimal feature selection to identifying influential nodes in complex networks

Subjects: “…Big data and Data science…”
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Overfitting, regularisation and condition estimation in regression

Subjects: “…Big data and Data science…”
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Exploratory analysis of logical and intuitive reasoning in large language models

Subjects: “…Big data and Data science…”
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Arabic word sense disambiguation: a survey in the era of transformer-based models

Subjects: “…Big data and Data science…”
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CDGRS-LOD model: leveraging linked open data in collaborative cross-domain group recommender system

Subjects: “…Big data and Data science…”
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Deep learning for new fashion product demand prediction: integrating visual similarity and demand correction in cold-start scenarios

Subjects: “…Big data and Data science…”
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SentiVol-GA: a volatility-scaled genetic fusion of predictive models and financial sentiment for adaptive stock forecasting

Subjects: “…Big data and Data science…”
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A parametric distributional reinforcement learning framework for conditional systemic risk estimation

Subjects: “…Big data and Data science…”
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Machine learning for optimized crop selection: a data-driven approach considering climate and soil type data

Subjects: “…Big data and Data science…”
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An explainable AI-driven framework integrating SHAP and QFD for transitioning from CRM to CJM in customer-centric optimization

Subjects: “…Big data and Data science…”
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Forecasting refugee migration with high-dimensional covariate space

Subjects: “…Big data and Data science…”
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Hierarchical growth self-generating prototype: an information entropy-based approach for dataset reduction

Subjects: “…Big data and Data science…”
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A systematic review of plant leaf disease detection and classification using machine learning and deep learning techniques

Subjects: “…Big data and Data science…”
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Interactive story maps for historical musical instruments: a 3D and semantic web tool for cultural heritage preservation

Subjects: “…Big data and Data science…”
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Turbofan engine health status prediction with heterogeneous ensemble deep neural networks

Subjects: “…Big data and Data science…”
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Biomedical text summarization with large language models: methodologies, challenges, and future directions

Subjects: “…Big data and Data science…”
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Explainable deep learning for software defect prediction: a residual-shuffle network approach with SHAP and LIME

Subjects: “…Big data and Data science…”
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Gower-SOM: a self-organizing map for mixed data with gower distance and heuristic adaptation for data analytics

Subjects: “…Big data and Data science…”
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An empirical evaluation of clustering processes for early detection of university dropout

Subjects: “…Big data and Data science…”
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Data-driven analysis and prediction of traffic accident dynamics using spatiotemporal modeling and optimized machine learning techniques

Subjects: “…Big data and Data science…”
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