ABS 发表于 2025-3-21 16:51:43
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William W. Cooper,Lawrence M. Seiford,Joe Zhu are not easily accepted by users. Instead, we work with video data captured via mobile cameras, transform the video into time series via human pose estimation, train time series classifiers, and deliver feedback to the user through a time series classification and explanation step. We evaluate ourNarrative 发表于 2025-3-22 01:36:59
Rajiv D. Banker,William W. Cooper,Lawrence M. Seiford,Joe Zhuthat using such models can help to better identify very critical patients in a clinical setting. To elaborate on these models’ usability in practical settings, we describe the user interface design of a prototype developed for emergency settings. Finally, we discuss the scope and limitations of theWordlist 发表于 2025-3-22 07:46:24
William W. Cooper,Shanling Li,Lawrence M. Seiford,Joe Zhuwithout human intervention. Which modeling technique, learning strategy, and data pre-processing technique work well for epidemic forecasting is still an open problem. To help advance the state-of-the-art in AI/ML applied to epidemiology, a benchmark with a collection of performance points is neededLIMN 发表于 2025-3-22 09:34:26
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Performance of the Bootstrap for DEA Estimators and Iterating the Principle,endarterectomy 发表于 2025-3-23 02:02:55
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Engineering Applications of Data Envelopment Analysis,