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Frontiers in Big Data|July 20, 2023
Evaluating the use of Instagram images color histograms and hashtags sets for automatic image annotationStamatios Giannoulakis, Nicolas Tsapatsoulis, Constantinos Djouvas
Frontiers in Big Data|June 30, 2023
Nonstationary time series forecasting using optimized-EVDHM-ARIMA for COVID-19Suraj Singh Nagvanshi, Inderjeet Kaur, Charu Agarwal, et al.
Frontiers in Big Data|December 6, 2021
Teeport: Break the Wall Between the Optimization Algorithms and ProblemsZhe Zhang, Xiaobiao Huang, Minghao Song
Frontiers in Big Data|September 5, 2022
A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsyXiaojin Li, Shiqiang Tao, Samden D Lhatoo, et al.
Frontiers in Big Data|December 17, 2021
Management of COVID-19 Pandemic Data in India: Challenges Faced and Lessons LearntJasmine Kaur, Jasleen Kaur, Ajay Singh Dhama, et al.
Frontiers in Big Data|December 13, 2021
Adaptive On-the-Fly Changes in Distributed Processing PipelinesToon Albers, Elena Lazovik, Mostafa Hadadian Nejad Yousefi, et al.
Frontiers in Big Data|December 13, 2021
Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection BiasesWeijeiying Ren, Kunpeng Liu, Tianxiang Zhao, et al.
Frontiers in Big Data|September 15, 2022
Lessons learned: A neuroimaging research center's transition to open and reproducible scienceKeith A Bush, Maegan L Calvert, Clinton D Kilts
Frontiers in Big Data|March 11, 2021
Deep Representation Learning for Social Network AnalysisQiaoyu Tan, Ninghao Liu, Xia Hu
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