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

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

2 November 2020
Y. Shrestha
Vaibhav Krishna
G. Krogh
ArXivPDFHTML

Papers citing "Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges"

4 / 4 papers shown
Title
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations
Yinghui Huang
Zihao Tang
Xiangyu Chang
FaML
25
0
0
23 Sep 2024
Multi-Center Federated Learning: Clients Clustering for Better Personalization
Guodong Long
Ming Xie
Tao Shen
Tianyi Zhou
Xianzhi Wang
Jing Jiang
Chengqi Zhang
FedML
32
240
0
19 Aug 2021
Machine learning and deep learning
Machine learning and deep learning
Christian Janiesch
Patrick Zschech
Kai Heinrich
16
1,166
0
12 Apr 2021
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam
Sara Elkerdawy
Martin Jägersand
S. Yogamani
122
166
0
08 Jul 2017
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