Machine learning predicts prolonged patient length of stay in a resource constrained Ethiopian hospital

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Agricultural robot plant automatic detection integrating visual navigation and phenotype recognition

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Undergraduate students’ perceptions of generative artificial intelligence as a predictor of learning autonomy in Ghana

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

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Availability prediction of solar water pumping system through stochastic modeling and nature-inspired algorithms

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Automated brain tumor detection using advanced deep learning models

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Exploring the adoption of artificial intelligence in pharmacy education: a quantitative study of faculty perspectives in India

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Enhancing artery/vein classification in Retinal images using Y-Net convolutional networks

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Mapping the landscape of deep learning in software testing: a bibliometric analysis

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Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin

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Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity

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Towards Unified Native Spaces in Kernel Methods

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TorchCP: A Python Library for Conformal Prediction

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Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval

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Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

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Fundamental Limits of Membership Inference Attacks on Machine Learning Models

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On the Robustness of Kernel Goodness-of-Fit Tests

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Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition

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Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction

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Collaborative likelihood-ratio estimation over graphs

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