Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Mengnan Du"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss S4, Pp 1-11 (2020)
Abstract Background Emotions after surviving cancer can be complicated. The survivors may have gained new strength to continue life, but some of them may begin to deal with complicated feelings and emotional stress due to trauma and fear of cancer re
Externí odkaz:
https://doaj.org/article/a482e2f1aebd44d3a3a57acfcccc0ae5
Publikováno v:
Applied AI Letters, Vol 2, Iss 4, Pp n/a-n/a (2021)
Abstract Natural language processing (NLP) models have been increasingly deployed in real‐world applications, and interpretation for textual data has also attracted dramatic attention recently. Most existing methods generate feature importance inte
Externí odkaz:
https://doaj.org/article/e5e70b1f8ffa4241bbc8bc89d89bad21
Publikováno v:
Communications of the ACM. Jan2024, Vol. 67 Issue 1, p110-120. 11p.
Publikováno v:
Communications of the ACM. Jan2020, Vol. 63 Issue 1, p68-77. 10p. 3 Color Photographs, 2 Diagrams.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:9521-9528
Recent studies indicate that deep neural networks (DNNs) are prone to show discrimination towards certain demographic groups. We observe that algorithmic discrimination can be explained by the high reliance of the models on fairness sensitive feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a49ee14fb9212abf954ec4628a859c67
https://doi.org/10.1609/aaai.v36i9.21185
https://doi.org/10.1609/aaai.v36i9.21185
Publikováno v:
IEEE Transactions on Computational Social Systems. 9:458-468
Embeddings of textual data containing location names (e.g., social media posts) have essential applications in various contexts such as marketing and disaster management. In these downstream implementations, social biases behind location names are hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b7f7d1cba55636b381494a2bd7755c
https://doi.org/10.1109/tcss.2021.3106003
https://doi.org/10.1109/tcss.2021.3106003
Publikováno v:
IEEE Intelligent Systems. 36:25-34
Deep learning is increasingly being used in high-stake decision making applications that affect individual lives. However, deep learning models might exhibit algorithmic discrimination behaviors with respect to protected groups, potentially posing ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9213ce9f5aff1efaab0c62aabea81390
https://doi.org/10.1109/mis.2020.3000681
https://doi.org/10.1109/mis.2020.3000681
Autor:
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb7dba35c53534bf0ad8e74636b5d3fb
https://doi.org/10.1145/3534678.3539140
https://doi.org/10.1145/3534678.3539140
Publikováno v:
ACM SIGKDD Explorations Newsletter. 23:59-68
With the wide use of deep neural networks (DNN), model interpretability has become a critical concern, since explainable decisions are preferred in high-stake scenarios. Current interpretation techniques mainly focus on the feature attribution perspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd3e32f1ba0f6bf26e8e70aa7d5bd4fd
https://doi.org/10.1145/3468507.3468517
https://doi.org/10.1145/3468507.3468517
Publikováno v:
2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::537634a70940ee72f18fd75d32b420c0
https://doi.org/10.1109/icaibd55127.2022.9820437
https://doi.org/10.1109/icaibd55127.2022.9820437