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    Deep Generative Models: Complexity, Dimensionality, and Approximation

    Published in JMLR (2026)
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    Uplift Model Evaluation with Ordinal Dominance Graphs

    Published in JMLR (2026)
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    Score-Based Diffusion Models in Function Space

    Published in JMLR (2026)
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    Latent Process Models for Functional Network Data

    Published in JMLR (2026)
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    Deep Generative Models: Complexity, Dimensionality, and Approximation

    Published in JMLR (2026)
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    Uplift Model Evaluation with Ordinal Dominance Graphs

    Published in JMLR (2026)
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    Score-Based Diffusion Models in Function Space

    Published in JMLR (2026)
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  8. Cover Image

    Latent Process Models for Functional Network Data

    Published in JMLR (2026)
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  9. Cover Image

    Deep Generative Models: Complexity, Dimensionality, and Approximation

    Published in JMLR (2026)
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  10. Cover Image

    Uplift Model Evaluation with Ordinal Dominance Graphs

    Published in JMLR (2026)
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    Correction: A survey on augmenting knowledge graphs (KGs) with large language models (LLMs): models, evaluation metrics, benchmarks, and challenges

    Published in Discover AI (2026)
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    Weather forecasting using deep learning and seasonal autoregressive integrated moving average model

    Published 2024-04
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    TEAM TEACHING MODELS AND PRIMARY SCHOOL PUPILS’ LEARNING OUTCOMES IN MATHEMATICS IN OYO, NIGERIA

    Published 2019-08
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    TEAM TEACHING MODELS AND PRIMARY SCHOOL PUPILS’ LEARNING OUTCOMES IN MATHEMATICS IN OYO, NIGERIA

    Published 2018-08
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    Developing a model for teaching and learning clinical pharmacy components of the pharmacy curriculum in Nigeria

    Published 2017-01
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    Deep learning–driven image captioning: Progress through transformers and large language models

    Published in PLOS ONE (2026)
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    Retraction: An inherently interpretable deep learning model for local explanations using visual concepts

    Published in PLOS ONE (2026)
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    UNDERSTANDING UNIVERSITY STUDENTS’ E-LEARNING ADOPTION IN THE MIDDLE EAST: AN APPLICATION OF THE UTAUT MODEL

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    Forecasting Philippine Rice Prices: Comparison of Traditional Time Series and Machine Learning Models

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    A Comparative Statistical Analysis of Machine Learning Regression Models for Economic Indicator Forecasting

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