Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals [0.03%]
跨物种监管代码信号传输的无监督领域适应方法
Pavel Latyshev,Fedor Pavlov,Alan Herbert et al.
Pavel Latyshev et al.
Due to advances in NGS technologies whole-genome maps of various functional genomic elements were generated for a dozen of species, however experiments are still expensive and are not available for many species of interest. Deep learning me...
John R Talburt,Lisa Ehrlinger,Justin Magruder
John R Talburt
The detection and effect of social events on Wikipedia data-set for studying human preferences [0.03%]
社交事件对维基百科数据集中人类偏好的影响检测
Julien Assuied,Yérali Gandica
Julien Assuied
Several studies have used Wikipedia (WP) data-set to analyse worldwide human preferences by languages. However, those studies could suffer from bias related to exceptional social circumstances. Any massive event promoting exceptional editio...
Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology [0.03%]
谷歌趋势在健康研究中的应用：其优势、方法论考虑及在精神病学和精神卫生信息流行病学中的局限性
Rowalt Alibudbud
Rowalt Alibudbud
The high utilization of infodemiological tools for psychiatric and mental health topics signals the emergence of a new discipline. Drawing on the definition of infodemiology by Eysenbach, this emerging field can be termed "psychiatric and m...
Natural language processing for humanitarian action: Opportunities, challenges, and the path toward humanitarian NLP [0.03%]
人道主义行动的自然语言处理：机遇、挑战及通向人道主义NLP之路
Roberta Rocca,Nicolò Tamagnone,Selim Fekih et al.
Roberta Rocca et al.
Natural language processing (NLP) is a rapidly evolving field at the intersection of linguistics, computer science, and artificial intelligence, which is concerned with developing methods to process and generate language at scale. Modern NL...
Dietmar Jannach,Himan Abdollahpouri
Dietmar Jannach
Recommender systems can be characterized as software solutions that provide users with convenient access to relevant content. Traditionally, recommender systems research predominantly focuses on developing machine learning algorithms that a...
Personalized diversification of complementary recommendations with user preference in online grocery [0.03%]
基于用户偏好的在线杂货推荐的互补多样性个性化研究
Luyi Ma,Nimesh Sinha,Jason H D Cho et al.
Luyi Ma et al.
Complementary recommendations play an important role in surfacing the relevant items to the customers. In the cross-selling scenario, some customers might present more exploratory shopping behaviors and prefer more diverse complements, whil...
A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity [0.03%]
一项关于社会人口因素导致新冠肺炎病情加重的大规模机器学习研究
Marko Tumbas,Sofija Markovic,Igor Salom et al.
Marko Tumbas et al.
Understanding sociodemographic factors behind COVID-19 severity relates to significant methodological difficulties, such as differences in testing policies and epidemics phase, as well as a large number of predictors that can potentially co...
CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals [0.03%]
窗帘：通过转换邻域区间进行不可观测区域的构建
John Andrew Raine,Samuel Klein,Debajyoti Sengupta et al.
John Andrew Raine et al.
We propose a new model independent technique for constructing background data templates for use in searches for new physics processes at the LHC. This method, called Curtains, uses invertible neural networks to parameterise the distribution...
Examining the relationship between big data analytics capabilities and organizational ambidexterity in the Malaysian banking sector [0.03%]
马来西亚银行业大数据分析能力与组织双刃剑关系的研究
Norzalita Abd Aziz,Fei Long
Norzalita Abd Aziz
Drawing on previous literature on dynamic capability view (DCV), we examine the effects of data analytics capabilities (BDAC) on organizational ambidexterity and the paradoxical tensions between exploration and exploitation in the Malaysian...