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Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges.

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A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records., , and . CoRR, (2020)Bridging Data Science and Organization Science: Leveraging Algorithmic Induction to Research Online Communities.. ETH Zurich, Zürich, Switzerland, (2019)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/332700).Kernelization and Parameterized Complexity of Star Editing and Union Editing., and . ISAAC, volume 7676 of Lecture Notes in Computer Science, page 126-135. Springer, (2012)On the complexity of bribery with distance restrictions., , and . Theor. Comput. Sci., (2019)Comparing the willingness to share for human-generated vs. AI-generated fake news., , and . CoRR, (2024)Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems., and . Algorithms, 12 (9): 199 (2019)Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges., , and . CoRR, (2020)When Does Schwartz Conjecture Hold?, , and . IJCAI, page 603-609. AAAI Press, (2015)Adversarial Learning for Debiasing Knowledge Graph Embeddings., , , , , and . CoRR, (2020)Bringing artificial intelligence to business management., , , and . Nat. Mach. Intell., 4 (7): 611-613 (2022)