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    Modeling Sentiment Spread in Reddit's Financial Communities Through Epidemiological and Deep Learning Approaches

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    Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

    Published in JMLR (2026)
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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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    A Semi-Parametric Bayesian Spatial Model for Rainfall Events in Geographically Complex Domains

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    A Dimension-Reduced Multivariate Spatial Model for Extreme Events: Balancing Flexibility and Scalability

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    A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires

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    PREDICTING DAILY ENERGY CONSUMPTION IN EV CHARGING STATIONS USING TREE-BASED MODELS

    Published in Middle East Journal of Science (2025)
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    The application of large language models in meteorology graduate research: current status, impact, and prospects

    Published in PLOS ONE (2026)
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    EXPLAINING ADDITIVE WEIBULL MODEL PARAMETER ESTIMATION WITH XAI: A SHAP AND LIME ANALYSIS

    Published in Computer Science (2026)
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    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

    Published in JMLR (2026)
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    Quantifying stability via count splitting to guide model selection in RNA velocity analyses

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    Generalized multi-view model: Adaptive density estimation under low-rank constraints

    Published in JMLR (2026)
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    Automating population construction and parallel simulation of biophysical models for neuromuscular cells: An inverse approach

    Published in PLoS Computational Biology (2026)
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    Optimal subsampling for high-dimensional partially linear models via machine learning methods

    Published in JMLR (2026)
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    Modeling maize growth and development in temperate and tropical agro‐climatic systems using MAIZSIM

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    Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python

    Published in Geoscientific Model Development (2026)
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    Analysis of Slag Conditioners for Foam Control by Coupling Thermodynamic Calculations and Machine Learning Models

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    Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

    Published in JMLR (2026)
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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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    Canonical Unveils Ubuntu AI Strategy: Local Models, User Control, and Smarter Workflows

    Published in Linux Journal (2026)
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