Results 21 to 30 of about 34,159,249 (310)
Hybrid recommendation, which is based on collaborative filtering and supplemented with auxiliary content information, is being actively researched due to its ability to overcome the cold-start problem.
Iwao Tanuma, Tomoko Matsui
doaj +1 more source
Tweet Analysis for Enhancement of COVID-19 Epidemic Simulation: A Case Study in Japan
The COVID-19 pandemic, which began in December 2019, progressed in a complicated manner and thus caused problems worldwide. Seeking clues to the reasons for the complicated progression is necessary but challenging in the fight against the pandemic.
Vu Tran, Tomoko Matsui, Tomoko Matsui
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Although the pedestrian-friendly qualities of streetscapes promote walking, quantitative understanding of streetscape functionality remains insufficient.
Shohei Nagata +5 more
semanticscholar +1 more source
Rating Proportion-Aware Binomial Matrix Factorization for Collaborative Filtering
Addressing biases in observed data is a major challenge in statistical and machine learning applications. This challenge also exists in recommendation systems, and various methods based on causal inference are being investigated.
Iwao Tanuma, Tomoko Matsui
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Statsmodels: Econometric and Statistical Modeling with Python
Statsmodels is a library for statistical and econometric analysis in Python. This paper discusses the current relationship between statistics and Python and open source more generally, outlining how the statsmodels package fills a gap in this ...
Skipper Seabold, J. Perktold
semanticscholar +1 more source
COVID-19 case prediction using emotion trends via Twitter emoji analysis: A case study in Japan
IntroductionThe worldwide COVID-19 pandemic, which began in December 2019 and has lasted for almost 3 years now, has undergone many changes and has changed public perceptions and attitudes.
Vu Tran, Tomoko Matsui, Tomoko Matsui
doaj +1 more source
Statistical modeling methods: challenges and strategies
Statistical modeling methods are widely used in clinical science, epidemiology, and health services research to analyze data that has been collected in clinical trials as well as observational studies of existing data sources, such as claims files and ...
Steven S. Henley +2 more
semanticscholar +1 more source
A nonparametric Bayesian continual reassessment method in single-agent dose-finding studies
Background The main purpose of dose-finding studies in Phase I trial is to estimate maximum tolerated dose (MTD), which is the maximum test dose that can be assigned with an acceptable level of toxicity.
Niansheng Tang, Songjian Wang, Gen Ye
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Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao +13 more
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The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu +13 more
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