Zobrazeno 1 - 10
of 1 073
pro vyhledávání: '"Zhou Xiao-Hua"'
Ratings of a user to most items in recommender systems are usually missing not at random (MNAR), largely because users are free to choose which items to rate. To achieve unbiased learning of the prediction model under MNAR data, three typical solutio
Externí odkaz:
http://arxiv.org/abs/2406.17182
When evaluating the effectiveness of a drug, a Randomized Controlled Trial (RCT) is often considered the gold standard due to its perfect randomization. While RCT assures strong internal validity, its restricted external validity poses challenges in
Externí odkaz:
http://arxiv.org/abs/2406.04107
Publication bias (PB) poses a significant threat to meta-analysis, as studies yielding notable results are more likely to be published in scientific journals. Sensitivity analysis provides a flexible method to address PB and to examine the impact of
Externí odkaz:
http://arxiv.org/abs/2406.04095
Instruction Fine-Tuning enhances pre-trained language models from basic next-word prediction to complex instruction-following. However, existing One-off Instruction Fine-Tuning (One-off IFT) method, applied on a diverse instruction, may not effective
Externí odkaz:
http://arxiv.org/abs/2406.04371
Publication bias (PB) is one of the serious issues in meta-analysis. Many existing methods dealing with PB are based on the normal-normal (NN) random-effects model assuming normal models in both the within-study and the between-study levels. For rare
Externí odkaz:
http://arxiv.org/abs/2405.03603
Autor:
Hu, Taojun, Zhou, Xiao-Hua
Natural Language Processing (NLP) is witnessing a remarkable breakthrough driven by the success of Large Language Models (LLMs). LLMs have gained significant attention across academia and industry for their versatile applications in text generation,
Externí odkaz:
http://arxiv.org/abs/2404.09135
In randomized controlled trials (RCT) with time-to-event outcomes, intercurrent events occur as semi-competing/competing events, and they could affect the hazard of outcomes or render outcomes ill-defined. Although five strategies have been proposed
Externí odkaz:
http://arxiv.org/abs/2401.14684
Semi-competing risks refer to the phenomenon that the terminal event (such as death) can censor the non-terminal event (such as disease progression) but not vice versa. The treatment effect on the terminal event can be delivered either directly follo
Externí odkaz:
http://arxiv.org/abs/2309.01721
Autor:
Li, Haoxuan, Hu, Taojun, Xiong, Zetong, Zheng, Chunyuan, Feng, Fuli, He, Xiangnan, Zhou, Xiao-Hua
Adverse drug reaction (ADR) prediction plays a crucial role in both health care and drug discovery for reducing patient mortality and enhancing drug safety. Recently, many studies have been devoted to effectively predict the drug-ADRs incidence rates
Externí odkaz:
http://arxiv.org/abs/2308.02571
Semi-competing risks refer to the phenomenon where a primary event (such as mortality) can ``censor'' an intermediate event (such as relapse of a disease), but not vice versa. Under the multi-state model, the primary event consists of two specific ty
Externí odkaz:
http://arxiv.org/abs/2306.15947