Cost-sensitive ensemble learning for bankruptcy prediction under extreme class imbalance

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Lightweight multimodal large language model enabling efficient one shot industrial visual anomaly detection

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Deep learning based classification of microplastic in edible food using optical microscopy images

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Model-free Change-Point Detection Using AUC of a Classifier

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Deep learning and GIS integration for plant disease diagnosis and management

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An evaluation of ambient artificial intelligence scribes at two academic medical centers

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Intelligent auxiliary evaluation method for higher education quality based on data mining technology

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A multimodal hybrid framework for early and accurate detection of dementia using MRI and facial imaging

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Systematic review of deep learning applications in physical rehabilitation for human movement analysis in compliance with PRISMA standards

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EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback

Subjects: “…Artificial Intelligence & Machine Learning…”
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Multiple Instance Verification

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Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

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Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

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Optimizing Return Distributions with Distributional Dynamic Programming

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Imprecise Multi-Armed Bandits: Representing Irreducible Uncertainty as a Zero-Sum Game

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Early Alignment in Two-Layer Networks Training is a Two-Edged Sword

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Hierarchical Decision Making Based on Structural Information Principles

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Generative Adversarial Networks: Dynamics

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"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

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Assumption-lean and data-adaptive post-prediction inference

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