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Learning Robust Observable to Address Noise in Quantum Machine Learning - arXiv 2409
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Using Machine Learning and the HAMD-24 Scale to Predict Suicide Ideation in Depressed Patients
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The underlying structures of self-attention - symmetry, directionality, and emergent dynamics in Transformer training
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AutoRDF2GML - Facilitating RDF Integration in Graph Machine Learning
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Review of Interpretable Machine Learning Models for Disease Prognosis
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Leveraging Machine Learning for Official Statistics - A Statistical Manifesto - Introduction
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Addressing Low-Quality Domain Knowledge in Knowledge-Guided Machine Learning - PhD Dissertation
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Hyperspectral and machine-learning-based classification of ischemic intestinal tissue
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Machine learning and statistical inference in microbial population genomics
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Non-Destructive Estimation of Biochemical and Physiological Traits in Lettuce Using Hyperspectral Imaging and Machine Learning
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Data Quality in Causal Machine Learning with Applications to Algorithmic Fairness
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Integrating human knowledge for explainable AI
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Essays on Machine Learning in Causal Inference and Prediction
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A Supervised Machine Learning Approach for Structural Overload Classification in Railway Bridges - Elsevier Structures Paper
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Adaptive Stabilization Based on Machine Learning for Column Generation
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