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Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes
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Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models
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Tensor Networks for Explainable Machine Learning in Cybersecurity - Research
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LeOCLR - Leveraging Original Images for Contrastive Learning of Visual Representations - A framework for improved instance discrimination
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Prediction of knee biomechanics with different tibial component malrotations after total knee arthroplasty - conventional machine learning vs. deep learning
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Detecting Collusion in Public Procurement - A Comparative Study of Machine Learning Models
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Exploring the Potential of Machine Learning to Predict Student Performance in an EM Course - Research Findings
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Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors
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Prediction of Subsurface Physical Properties Through Machine Learning - The case of the Riotinto Mine
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Dust Extinction Measures for ~8 Galaxies using Machine Learning on JWST Imaging - Abstract
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Adaptive Loss Weighting for Machine Learning Interatomic Potentials
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Enhancing Student Graduation Rates by Mitigating Failure, Dropout, and Withdrawal in Introduction to Statistical Courses Using Statistical and Machine Learning - Research thesis
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Towards Privacy-preserving Machine Learning - Generative Modeling and Discriminative Analysis
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Machine learning guided high-throughput search of non-oxide garnets - Article
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