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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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

Subjects: “…Artificial Intelligence & Machine Learning…”
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Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Subjects: “…Artificial Intelligence & Machine Learning…”
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Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

Subjects: “…Artificial Intelligence & Machine Learning…”
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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

Subjects: “…Artificial Intelligence & Machine Learning…”
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Hierarchical Decision Making Based on Structural Information Principles

Subjects: “…Artificial Intelligence & Machine Learning…”
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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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Bagged Regularized k-Distances for Anomaly Detection

Subjects: “…Artificial Intelligence & Machine Learning…”
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Four Axiomatic Characterizations of the Integrated Gradients Attribution Method

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Fast Algorithm for Constrained Linear Inverse Problems

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High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces

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Best Linear Unbiased Estimate from Privatized Contingency Tables

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