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Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
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Squaring the circle: Business model teaching in large classroom settings
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A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers
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Deep reinforcement learning for scheduling in large-scale networked control systems
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Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material
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OpenML: An R Package to Connect to the Machine Learning Platform OpenML
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Wissensmanagement unter Bedingungen von Arbeit 4.0
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Digitalisation of Work: Between Affordances and Constraints for Learning at Work
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ML-Plan for Unlimited-Length Machine Learning Pipelines
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Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure
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Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning
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Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education
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Leveraging TSP Solver Complementarity through Machine Learning
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Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes
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Human agency at work: An active approach towards expertise development
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A configuration-based recommender system for supporting e-commerce decisions
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Semantic Annotation of Software Requirements with Language Frame
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The Multifaceted Nature of Agency and Professional Learning
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