TriGWONet a lightweight multibranch convolutional neural network using gray wolf optimization for accurate oral cancer image classification

Subjects: “…Artificial Intelligence & Machine Learning…”
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Availability prediction of solar water pumping system through stochastic modeling and nature-inspired algorithms

Subjects: “…Artificial Intelligence & Machine Learning…”
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Automated brain tumor detection using advanced deep learning models

Subjects: “…Artificial Intelligence & Machine Learning…”
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Exploring the adoption of artificial intelligence in pharmacy education: a quantitative study of faculty perspectives in India

Subjects: “…Artificial Intelligence & Machine Learning…”
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Enhancing artery/vein classification in Retinal images using Y-Net convolutional networks

Subjects: “…Artificial Intelligence & Machine Learning…”
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Mapping the landscape of deep learning in software testing: a bibliometric analysis

Subjects: “…Artificial Intelligence & Machine Learning…”
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Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin

Subjects: “…Artificial Intelligence & Machine Learning…”
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Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity

Subjects: “…Artificial Intelligence & Machine Learning…”
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Towards Unified Native Spaces in Kernel Methods

Subjects: “…Artificial Intelligence & Machine Learning…”
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TorchCP: A Python Library for Conformal Prediction

Subjects: “…Artificial Intelligence & Machine Learning…”
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Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval

Subjects: “…Artificial Intelligence & Machine Learning…”
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Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

Subjects: “…Artificial Intelligence & Machine Learning…”
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Fundamental Limits of Membership Inference Attacks on Machine Learning Models

Subjects: “…Artificial Intelligence & Machine Learning…”
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On the Robustness of Kernel Goodness-of-Fit Tests

Subjects: “…Artificial Intelligence & Machine Learning…”
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Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition

Subjects: “…Artificial Intelligence & Machine Learning…”
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Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction

Subjects: “…Artificial Intelligence & Machine Learning…”
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Collaborative likelihood-ratio estimation over graphs

Subjects: “…Artificial Intelligence & Machine Learning…”
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On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent

Subjects: “…Artificial Intelligence & Machine Learning…”
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Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies

Subjects: “…Artificial Intelligence & Machine Learning…”
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Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs

Subjects: “…Artificial Intelligence & Machine Learning…”
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