Data61
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Precision health data: Requirements, challenges and existing techniques for data security and privacy
Chandra Thapa, Seyit Camtepe
2020 · 361 Zit.
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection
Weishan Zhang, Tao Zhou, Qinghua Lu et al.
2021 · 310 Zit.
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana et al.
2021 · 211 Zit.
AI and the quest for diversity and inclusion: a systematic literature review
Rifat Ara Shams, Didar Zowghi, Muneera Bano
2023 · 143 Zit.
Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems
Sin Kit Lo, Yue Liu, Qinghua Lu et al.
2022 · 101 Zit.
Towards a roadmap on software engineering for responsible AI
Qinghua Lu, Liming Zhu, Xiwei Xu et al.
2022 · 66 Zit.
AI and Ethics—Operationalizing Responsible AI
Liming Zhu, Xiwei Xu, Qinghua Lu et al.
2021 · 44 Zit.
Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora et al.
2023 · 41 Zit.
Trends and gaps in precision health research: a scoping review
John Noel M. Viaña, Sarah Edney, Shakuntla Gondalia et al.
2021 · 40 Zit.
Responsible-AI-by-Design: A Pattern Collection for Designing Responsible Artificial Intelligence Systems
Qinghua Lu, Liming Zhu, Xiwei Xu et al.
2023 · 39 Zit.
Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains
Yu Cheng, Jieshan Chen, Qing Huang et al.
2023 · 32 Zit.
Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Toby Walsh
2011 · 31 Zit.
Large language models for qualitative research in software engineering: exploring opportunities and challenges
Muneera Bano, Rashina Hoda, Didar Zowghi et al.
2023 · 28 Zit.
AI for all: Diversity and Inclusion in AI
Didar Zowghi, Muneera Bano
2024 · 27 Zit.
Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions
Liyuan Zhou, Hanna Suominen, Tom Gedeon
2019 · 26 Zit.