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Representing Human Ethical Requirements in Hybrid Machine Learning Models - Technical Opportunities and Fundamental Challenges
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The Meta-Evaluation Problem in Explainable AI - Identifying Reliable Estimators with MetaQuantus
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ROBUST MACHINE LEARNING FOR COMPUTER VISION IN NAVAL APPLICATION
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Prediction of Complications and Prognostication in Perioperative Medicine - A Systematic Review and PROBAST Assessment of Machine Learning Tools
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Machine Learning Techniques for Intermediate Mass Gap Lepton Partner Searches at the Large Hadron Collider - Abstract
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A Machine Learning Approach to Predicting Physical Activity Levels in Adolescents
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Interactive Machine Learning with Heterogeneous Data - Part
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From Principle to Practice - Vertical Data Minimization for Machine Learning
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Machine Learning-Enabled Communication Approach for the Internet of Medical Things - A Kruskal Algorithm Based Reliable Routing Scheme
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Machine Learning and the Ethics of Induction
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NeuroGraph - Benchmarks for Graph Machine Learning in Brain Connectomics
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Cost-Optimized Dynamic Access Control Policy Using Blockchain and Machine Learning for Enhanced Security in IoT Smart Homes - Research Paper
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Improving river water quality prediction with hybrid machine learning and temporal analysis
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Anomaly Detection with Automated and Active Machine Learning - Thesis
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Digital Holocaust Memory Project - Recommendations for Using Artificial Intelligence and Machine Learning for Holocaust Memory and Education
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