Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Xiuyi Fan"'
Publikováno v:
STAR Protocols, Vol 3, Iss 4, Pp 101783- (2022)
Summary: Functional doppelgängers (FDs) are independently derived sample pairs that confound machine learning model (ML) performance when assorted across training and validation sets. Here, we detail the use of doppelgangerIdentifier (DI), providing
Externí odkaz:
https://doaj.org/article/91c01bd75c764736b7d8bdb28c6f83b8
Autor:
Thomas Henderson, David Sacharny, Amar Mitiche, Xiuyi Fan, Amelia Lessen, Ishaan Rajan, Tessa Nishida
Publikováno v:
Proceedings of the 15th International Conference on Agents and Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13247b6fe653b353332d24909d1c7dc0
https://doi.org/10.5220/0011614400003393
https://doi.org/10.5220/0011614400003393
We study the impacts of business cycles on machine learning (ML) predictions. Using the S&P 500 index, we find that ML models perform worse during most recessions, and the inclusion of recession history or the risk-free rate does not necessarily impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ba68f90b83b85609b9bb6749e0d1a55
Autor:
Xiuyi Fan
Probabilistic rules are at the core of probabilistic structured argumentation. With a language L, probabilistic rules describe conditional probabilities Pr(σ0|σ1,…,σk) of deducing some sentences σ0∈L from others σ1,…,σk∈L by means of pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f30a55f812d5333097882b4e0afe6648
https://doi.org/10.3233/faia220149
https://doi.org/10.3233/faia220149
Cobalt-Doped Zinc Oxide Nanoparticle–MoS2 Nanosheet Composites as Broad-Spectrum Bactericidal Agents
Autor:
Jiahao Shen, Yuhan Wang, Wenxia Cheng, Aiqin Wang, Shaowei Chen, Junli Liu, Forrest Nichols, Hui Aiping, Xiuyi Fan, Hui Liu
Publikováno v:
ACS Applied Nano Materials. 4:4361-4370
The design and engineering of high-performance antimicrobial agents is critical for combating antibiotic resistance. In the present study, a rapid and broad-spectrum bactericidal agent is developed...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e947b437004a3905b168bb12f1e1a523
https://doi.org/10.1021/acsanm.0c02875
https://doi.org/10.1021/acsanm.0c02875
Autor:
Monika Seisenberger, Maurice H. ter Beek, Xiuyi Fan, Alessio Ferrari, Anne E. Haxthausen, Phillip James, Andrew Lawrence, Bas Luttik, Jaco van de Pol, Simon Wimmer
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197611
ISoLA'22-11th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, pp. 246–268, Rhodes, Greece, 24-28/10/2022
ISoLA'22-11th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, pp. 246–268, Rhodes, Greece, 24-28/10/2022
In 2020, the EU launched its sustainable and smart mobility strategy, outlining how it plans to have a 90% reduction in transport emission by 2050. Central to achieving this goal will be the improvement of rail technology, with many new data-driven v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4be170362cf00f68b6134a09150c5354
https://doi.org/10.1007/978-3-031-19762-8_20
https://doi.org/10.1007/978-3-031-19762-8_20
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031165634
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1e0a7d0ceea20a6a48b38be5bbee3c0
https://cronfa.swan.ac.uk/Record/cronfa60605/Download/60605__24716__49ec15ecd8334b769366615f40f80c4f.pdf
https://cronfa.swan.ac.uk/Record/cronfa60605/Download/60605__24716__49ec15ecd8334b769366615f40f80c4f.pdf
Publikováno v:
BHI
eXplainable Artificial Intelligence (XAI) aims to provide intelligible explanations to users. XAI algorithms such as SHAP, LIME and Scoped Rules compute feature importance for machine learning predictions. Although XAI has attracted much research att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b21fc7f7ced96dddc85566d971020b95
https://doi.org/10.1109/bhi50953.2021.9508618
https://doi.org/10.1109/bhi50953.2021.9508618
Autor:
Xiuyi Fan, Siyuan Liu
Publikováno v:
Artificial Intelligence ISBN: 9783030930486
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e511282d8720976654d265493fa7103c
https://doi.org/10.1007/978-3-030-93049-3_2
https://doi.org/10.1007/978-3-030-93049-3_2