Bayesian Data Sketching for Varying Coefficient Regression Models

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Beyond High-Confidence Sampling: Boosting Data Utilization and Model Calibration in Semi-Supervised Learning

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Performance of stacking machine learning and volume model for improving corn above ground biomass prediction

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A Machine Learning Classification Model for Identifying College Students with Depression Based on Digital Phenotyping

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Towards autonomous production control: a reinforcement learning-based model for hybrid remanufacturing systems

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Implementation of Q learning and deep Q network for controlling a self balancing robot model

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A Supervised Machine Learning in Financial Forecasting: Identifying Effective Models for the BIST100 Index

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Comparing Machine Learning Models for Pupillary Light Reflex–Based Autism Spectrum Disorder Classification

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Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen health care settings

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ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios

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A Robust Hybrid Deep Learning Model for Multiclass Depression Classification from Speech Audio

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Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes

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MATHEMATICAL MODELING AND MACHINE LEARNING FOR ECONOMIC FORECASTING: A HYBRID APPROACH TO PREDICTING MARKET TRENDS

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Enhancing Federated Learning in IoT: A Quality‐Based Incentive Mechanism With Stackelberg Game Modelling

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Landslide susceptibility assessment in the Central Yunnan Plateau by assembling optimized statistical and machine learning models

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Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

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A COMPREHENSIVE BENCHMARK OF LINEAR AND ENSEMBLE MACHINE LEARNING MODELS FOR GLOBAL CO₂ EMISSION FORECASTING

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Hybrid recommendation framework: integrating behavioral clustering, network centrality, and advanced deep learning models

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Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems

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Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision

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