Cats are not fish-Reference-Cited by-同舟云学术

Cats are not fish

Published:2020-12-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
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Author:

Berend David¹,Xie Xiaofei¹,Ma Lei²,Zhou Lingjun³,Liu Yang⁴,Xu Chi⁵,Zhao Jianjun²

Affiliation:

1. Nanyang Technological University, Singapore

2. Kyushu University, Japan

3. Tianjin University, China

4. Nanyang Technological University and Zhejiang Sci-Tech University, China

5. Singapore Institute of Manufacturing Technology

Funder

the Singapore National Research Foundation

JST-Mirai Program

JSPS KAKENHI

Singapore Ministry of Education Academic Research Fund Tier 1

the National Research Foundation, Prime Ministers Office, Singapore under its National Cybersecurity R&D Program

NRF Investigatorship

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3324884.3416609

Reference58 articles.

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2. carnegieendowment. 2019. The Global Expansion of AI Surveillance. https://carnegieendowment.org/2019/09/17/global-expansion-of-ai-surveillance-pub-79847 carnegieendowment. 2019. The Global Expansion of AI Surveillance. https://carnegieendowment.org/2019/09/17/global-expansion-of-ai-surveillance-pub-79847

3. Hyunsun Choi and Eric Jang. 2019. Generative Ensembles for Robust Anomaly Detection. https://openreview.net/forum?id=B1e8CsRctX Hyunsun Choi and Eric Jang. 2019. Generative Ensembles for Robust Anomaly Detection. https://openreview.net/forum?id=B1e8CsRctX

4. McKinsey Co. 2019. AI Adoption Advances but Foundational Barriers Remain. https://www.mckinsey.com/featured-insights/artificial-intelligence/aiadoption-advances-but-foundational-barriers-remain McKinsey Co. 2019. AI Adoption Advances but Foundational Barriers Remain. https://www.mckinsey.com/featured-insights/artificial-intelligence/aiadoption-advances-but-foundational-barriers-remain

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