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Learning From High-Cardinality Categorical Features in Deep Neural Networks
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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal
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Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP
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AnomLite: Efficient binary and multiclass video anomaly detection
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Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression
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Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems
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Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks
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Advanced Fractional Mathematics, Fractional Calculus, Algorithms and Artificial Intelligence with Applications in Complex Chaotic Systems
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