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pro vyhledávání: '"wang, xinru"'
In AI-assisted decision-making, humans often passively review AI's suggestion and decide whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely trigger analytical thinking and face difficulties in communicating the
Externí odkaz:
http://arxiv.org/abs/2403.16812
In AI-assisted decision-making, it is crucial but challenging for humans to achieve appropriate reliance on AI. This paper approaches this problem from a human-centered perspective, "human self-confidence calibration". We begin by proposing an analyt
Externí odkaz:
http://arxiv.org/abs/2403.09552
Artificial Intelligence (AI) is increasingly employed in various decision-making tasks, typically as a Recommender, providing recommendations that the AI deems correct. However, recent studies suggest this may diminish human analytical thinking and l
Externí odkaz:
http://arxiv.org/abs/2403.01791
The two-phase sampling design is a cost-effective sampling strategy that has been widely used in public health research. The conventional approach in this design is to create subsample specific weights that adjust for probability of selection and res
Externí odkaz:
http://arxiv.org/abs/2306.04119
Autor:
Li, Siqi, Liu, Pinyan, Nascimento, Gustavo G., Wang, Xinru, Leite, Fabio Renato Manzolli, Chakraborty, Bibhas, Hong, Chuan, Ning, Yilin, Xie, Feng, Teo, Zhen Ling, Ting, Daniel Shu Wei, Haddadi, Hamed, Ong, Marcus Eng Hock, Peres, Marco Aurélio, Liu, Nan
Federated learning (FL) has gained popularity in clinical research in recent years to facilitate privacy-preserving collaboration. Structured data, one of the most prevalent forms of clinical data, has experienced significant growth in volume concurr
Externí odkaz:
http://arxiv.org/abs/2304.07310
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust AI and when to trust themselves. However, prior studies calibrated human trust only based on AI confidence indicating AI's correctness likelihood (CL) but
Externí odkaz:
http://arxiv.org/abs/2301.05809
Dynamic treatment regimes (DTRs) are sequences of decision rules that recommend treatments based on patients' time-varying clinical conditions. The sequential multiple assignment randomized trial (SMART) is an experimental design that can provide hig
Externí odkaz:
http://arxiv.org/abs/2210.16255
Autor:
Cai, Xiaoxuan, Wang, Xinru, Zeng, Li, Eichi, Habiballah Rahimi, Ongur, Dost, Dixon, Lisa, Baker, Justin T., Onnela, Jukka-Pekka, Valeri, Linda
Mobile technology enables unprecedented continuous monitoring of an individual's behavior, social interactions, symptoms, and other health conditions, presenting an enormous opportunity for therapeutic advancements and scientific discoveries regardin
Externí odkaz:
http://arxiv.org/abs/2206.14343
Autor:
Ding, Ying, Wang, XinRu, Liao, LieHong, Chen, XinYu, Zhang, JiaYan, Wang, YueYue, Ying, Hao, Li, Yuan
We study the effect of the strain on the energy bands of TaIrTe4 sheet and the photocurrent in the Cu-TaIrTe4-Cu heterojunction by using the quantum transport simulations. It is found that the Weyl points can be completely broken with increasing of t
Externí odkaz:
http://arxiv.org/abs/2206.08281
Autor:
Zhang, Jiayan, Wan, Fei, Wang, Xinru, Ding, Ying, Liao, Liehong, Chen, Zhihui, Chen, M. N., Li, Yuan
The double Weyl semimetal (DWSM) is a newly proposed topological material that hosts Weyl points with chiral charge n=2. The disorder effect in DWSM is investigated by adopting the tight-binding Hamiltonian. Using the transfer matrix method and the n
Externí odkaz:
http://arxiv.org/abs/2206.08208