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  1. Generative AI Shanshui animation enhancement using Perlin noise and diffusion models

    Published in Discover AI (2026)
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  2. Modeling of an English speaking scoring system integrating natural language processing techniques

    Published in Discover AI (2026)
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  3. Large language models for clinical artificial intelligence in healthcare a systematic review

    Published in Discover AI (2026)
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  4. Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis

    Published in Discover AI (2026)
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  5. Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks

    Published in JAIR (2025)
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  6. Generalized multi-view model: Adaptive density estimation under low-rank constraints

    Published in JMLR (2026)
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  7. Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

    Published in JMLR (2026)
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  8. DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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  9. Generalized multi-view model: Adaptive density estimation under low-rank constraints

    Published in JMLR (2026)
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  10. Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

    Published in JMLR (2026)
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  11. DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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  12. Generalized multi-view model: Adaptive density estimation under low-rank constraints

    Published in JMLR (2026)
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  13. Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

    Published in JMLR (2026)
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  14. DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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  15. Leveraging artificial intelligence for predictive modelling of consumer buying intentions on E-Commerce platforms

    Published in Discover AI (2026)
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  16. Comparative evaluation of machine learning models for predicting Cimbex quadrimaculata population density across multiple problem formulations

    Published in PLOS ONE (2026)
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  17. RETRACTION: Preparation and Mechanical Properties of High Silicon Molybdenum Cast Iron Materials: Based on Deep Learning Model

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  18. Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change

    Published in Advances in Meteorology (2025)
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  19. Deep learning based multi-model ensemble approach for flood forecasting over flood prone rivers of India

    Published in Discover Water (2026)
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