Addressing the Limitations of AI/ML in creating Cognitive Solutions-Reference-Cited by-同舟云学术

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Addressing the Limitations of AI/ML in creating Cognitive Solutions

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI)
language:
Short-container-title:

Author:

Verma Dinesh C¹,Verma Archit²,Mangla Utpal³

Affiliation:

1. IBM T.J. Watson Research Center,Yorktown Heights,NY,USA

2. IBM Consulting,Washington,DC,USA

3. IBM Consulting,Toronto,Canada

Funder

U.S. Army Research Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9750278/9750279/09750298.pdf?arnumber=9750298

Reference36 articles.

1. Toward Open Set Recognition

2. Estimating Prediction Qualities without Ground Truth: A Revisit of the Reverse Testing Framework

3. Reverse testing

4. Deriving Interpretable Rules for IoT Discovery Through Attention

5. Chaos engineering;basiri;IEEE Software,2016

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1. Leveraging Hybrid Systems to Forecast Needs and Analyze Gaps for Dual Commercial and Military Use;2024 19th Annual System of Systems Engineering Conference (SoSE);2024-06-23

2. The illusion of understanding: AI’s role in cognitive psychology research;AI & SOCIETY;2024-06-10

3. TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning;ACM Transactions on Embedded Computing Systems;2023-05-31

4. Inference for Trustworthy Machine Intelligence: Challenges and Solutions;2022 IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI);2022-12

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