CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets [0.03%]
基于大规模调控序列数据集的基因表达预测的深度学习模型CRMnet
Ke Ding,Gunjan Dixit,Brian J Parker et al.
Ke Ding et al.
Recent large datasets measuring the gene expression of millions of possible gene promoter sequences provide a resource to design and train optimized deep neural network architectures to predict expression from sequences. High predictive per...
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks [0.03%]
纠错:SemNet:运用深度信念网络学习语义属性进行人类活动识别
Shanmuga Venkatachalam,Harideep Nair,Ming Zeng et al.
Shanmuga Venkatachalam et al.
[This corrects the article DOI: 10.3389/fdata.2022.879389.]. Keywords: artificial intelligence; deep belief ...
Published Erratum
Frontiers in big data. 2023 Mar 10:6:1170820. DOI:10.3389/fdata.2023.1170820 2023
Nhu Y Tran,Huynh Trung Hieu,Pham The Bao
Nhu Y Tran
In image segmentation, there are many methods to accomplish the result of segmenting an image into k clusters. However, the number of clusters k is always defined before running the process. It is defined by some observation or knowledge ba...
Mohammad Minhazul Haq,Hehuan Ma,Junzhou Huang
Mohammad Minhazul Haq
The accurate segmentation of nuclei is crucial for cancer diagnosis and further clinical treatments. To successfully train a nuclei segmentation network in a fully-supervised manner for a particular type of organ or cancer, we need the data...
Editorial: AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference [0.03%]
特刊介绍：药物开发和公共卫生中的人工智能与数据科学——MCBIOS 2022大会亮点
Ramin Homayouni,Prashanti Manda,Aik Choon Tan et al.
Ramin Homayouni et al.
Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest [0.03%]
基于机器学习的臭氧和PM2.5预测：太平洋西北地区多个空气质量监测站的应用
Kai Fan,Ranil Dhammapala,Kyle Harrington et al.
Kai Fan et al.
Air quality in the Pacific Northwest (PNW) of the U.S has generally been good in recent years, but unhealthy events were observed due to wildfires in summer or wood burning in winter. The current air quality forecasting system, which uses c...
Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering [0.03%]
依赖边的顶点权重的超图：p-Laplace算子和谱聚类
Yu Zhu,Santiago Segarra
Yu Zhu
We study p-Laplacians and spectral clustering for a recently proposed hypergraph model that incorporates edge-dependent vertex weights (EDVW). These weights can reflect different importance of vertices within a hyperedge, thus conferring th...
Strengths and limitations of relative wealth indices derived from big data in Indonesia [0.03%]
基于大数据的相对财富指数在印度尼西亚的应用优势与局限性分析
Daniele Sartirano,Kyriaki Kalimeri,Ciro Cattuto et al.
Daniele Sartirano et al.
Accurate relative wealth estimates in Low and Middle-Income Countries (LMICS) are crucial to help policymakers address socio-demographic inequalities under the guidance of the Sustainable Development Goals set by the United Nations. Survey-...
Tools of war and virtue-Institutional structures as a source of ethical deskilling [0.03%]
战争与道德的工具——制度结构作为道德技能缺乏的原因
Sigurd N Hovd
Sigurd N Hovd
Shannon Vallor has raised the possibility of ethical deskilling as a potential pitfall as AI technology is increasingly being developed for and implemented in military institutions. Bringing the sociological concept of deskilling into the f...
Combining environmental and socioeconomic data to understand determinants of conflicts in Colombia [0.03%]
结合环境和社会经济数据了解哥伦比亚冲突的影响因素
Stefania Fiandrino,Ciro Cattuto,Daniela Paolotti et al.
Stefania Fiandrino et al.
Conflicts cause immense human suffering, violate human rights, and affect people's stability. Colombia is affected for decades by a high level of armed conflicts and violence. The political and socio-economic situation, drug trafficking in ...