skglm: Improving scikit-learn for Regularized Generalized Linear Models

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Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs

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Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection

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Developing explainablemachine learning model usingaugmented concept activation vector

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Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift

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FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning

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FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata

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Evolutionary Variational Optimization of Generative Models

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Speech-driven diagnostic model for early detection of Parkinson’s disease using machine learning and deep learning techniques

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An End-to-End Deep Learning Model for Clustering-Based Statistical Arbitrage

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Wavelet-Enhanced Machine Learning Models for Hourly Solar Irradiance Forecasting

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Deep learning for regulatory genomics: a survey of models, challenges, and applications

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Domain Learning from Data for Large Language Model Translation and Adaptation

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Comparison of Automated Machine Learning Model Performance for Predicting Chlorophyll-a ...

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A Learning Model for Effective Literacy Instruction in Diverse Papuan Contexts

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Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions

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Automated brain tumor detection using advanced deep learning models

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Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

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Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models

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