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Proceedings of the 14th Learning Analytics and Knowledge Conference ,
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Multiple Choice vs. Fill-In Problems: The Trade-off Between..:
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Lecture Notes in Civil Engineering; Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024) ,
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A Transfer Learning Application for Damage Identification A..:
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Lecture Notes in Civil Engineering; Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024) ,
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On Additive Gaussian Processes for Wind Farm Power Predicti..:
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Nonlinear Structures & Systems, Volume 1; Conference Proceedings of the Society for Experimental Mechanics Series ,
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A Tutorial on Data-Driven Methods in Nonlinear Dynamics:
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Data Science in Engineering, Volume 10; Conference Proceedings of the Society for Experimental Mechanics Series ,
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A Meta-Learning Approach to Population-Based Modelling of S..:
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Computational Methods in Engineering & the Sciences; Machine Learning in Modeling and Simulation ,
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Artificial Neural Networks:
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Data Science in Engineering, Volume 10; Conference Proceedings of the Society for Experimental Mechanics Series ,
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On Quantifying Data Normalisation via Cointegration with To..:
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Data Science in Engineering, Volume 10; Conference Proceedings of the Society for Experimental Mechanics Series ,
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Better Together: Using Multi-Task Learning to Improve Featu..:
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Data Science in Engineering, Volume 10; Conference Proceedings of the Society for Experimental Mechanics Series ,
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A Population Form via Hierarchical Bayesian Modelling of th..:
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Nonlinear Structures & Systems, Volume 1; Conference Proceedings of the Society for Experimental Mechanics Series ,
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Towards Exact Statistically Independent Nonlinear Normal Mo..:
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Data Science in Engineering, Volume 10; Conference Proceedings of the Society for Experimental Mechanics Series ,
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Towards Physics-Based Metrics for Transfer Learning in Dyna..:
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Special Topics in Structural Dynamics & Experimental Techniques, Volume 5; Conference Proceedings of the Society for Experimental Mechanics Series ,
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The Astir Glider Wing Dataset for Population-Based SHM:
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Computational Methods in Engineering & the Sciences; Machine Learning in Modeling and Simulation ,
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