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Machine Learning im Cost Engineering des Supply Managements
Artificial intelligence and machine learning
Systematizing the lexicon of platforms in information systems: a data-driven study
Designing a feature selection method based on explainable artificial intelligence
Uncovering the identity of Electronic Markets research through text mining techniques
Machine learning and deep learning
Machine learning in information systems - a bibliographic review and open research issues
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Formation of policies guided by multivariable control theory
Robot-human-learning for robotic picking processes
Testing the TASP: An experimental investigation of learning in games with unstable equilibria