A survey of human-in-the-loop for machine learning
TL;DR: In this paper , the authors survey existing works on human-in-the-loop from a data perspective and classify them into three categories with a progressive relationship: (1) improving model performance from data processing, (2) the work of improving model model performance through interventional model training, and (3) the design of the system independent human in the loop.
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About: This article is published in Future Generation Computer Systems. The article was published on 01 Oct 2022. and is currently open access. The article focuses on the topics: Computer science & Human-in-the-loop.
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Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence
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Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges
Min Chen,Christophe Claramunt,Arzu Çöltekin,Xintao Liu,Peng Peng,Anthony C. Robinson,Josef Strobl,John A. Wilson,Michael Batty,Mei Po Kwan,Maryam Lotfian,François Golay,Stéphane Joost,Jens Ingensand,Ahmad M. Senousi,Tao Cheng,Temenoujka Bandrova,Milan Konečný,Paul M. Torrens,Alexander Klippel,Songnian Li,Fen Ge Zhang,Li He,Jinfeng Wang,Carlo Ratti,Olaf Kolditz,Hui Lin,Guonian Lü +27 more
TL;DR: In this paper , the authors highlight the challenges and opportunities associated with geographical space in relation to cyberspace, with a particular focus on data analytics and visualization, including extended AI capabilities and virtual reality representations.
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References
Smart technology–driven aspects for human-in-the-loop smart manufacturing
TL;DR: A 3I (Intellect, Interaction, and Interface) aspect for factories to increase the adoption of smart technologies toward the smart manufacturing vision is presented and a set of selected application examples are demonstrated to illustrate how the proposed aspects can drive new growth opportunities for enterprises.
76
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang,Faraz Torabi,Lin Guan,Dana H. Ballard,Peter Stone +4 more
- 21 Sep 2019
TL;DR: This survey provides a high-level overview of five recent learning frameworks that primarily rely on human guidance other than conventional, step-by-step action demonstrations and reviews the motivation, assumption, and implementation of each framework.
Deep learning techniques for rating prediction: a survey of the state-of-the-art
Zahid Younas Khan,Zahid Younas Khan,Zhendong Niu,Zhendong Niu,Sulis Sandiwarno,Rukundo Prince +5 more
TL;DR: A comprehensive review of deep learning-based rating prediction approaches is provided to help out new researchers interested in the subject and new trends are exposited with new perspectives pertaining to this novel and exciting development of the field.
73
A Review on Image Enhancement Techniques
TL;DR: An overview and analysis of different techniques commonly used for image enhancement, including digital image processing, Histogram Equalization, and image enhancement techniques, are provided.
65
Acceptance of Virtual Reality Exergames Among Chinese Older Adults
TL;DR: Wang et al. as mentioned in this paper proposed an extended version of the TAM to explore and confirm critical factors that could influence older adults' acceptance of exergames in virtual reality (VR), a relatively newer technology.
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