The search strategy was developed and executed according to a prespecified protocol, ensuring transparency and reproducibility. Study selection, data extraction and quality assessment followed ...

Abstract: Big Data though it is a hype up-springing many technical challenges that confront both academic research communities and commercial IT deployment, the root sources of Big Data are founded on ...

In literature, the convolutional neural networks (CNN) models were used for stock market forecasting and gave successful results. But, data imbalance due to labeling and feature selection problems ...

Nearly half of sequencing data labeled as endometriosis lacks true disease representation, highlighting the urgent need for more diverse and accurate tissue sampling to advance research in this ...

This paper addresses considerations around the acceleration of study selection, data extraction and risk of bias (RoB) assessment in RRs. If a RR is being undertaken, review teams should consider ...

The model learned from sample solutions which steps and explanations lead to correct answers. Thanks to focused data selection, training took just 26 minutes on 16 Nvidia H100 GPUs - about 25 GPU ...

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach ...

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It’s been three weeks since President Joe Biden’s disastrous debate performance, one that’s sparked public and private calls from Democrats for him to step aside. Biden has repeatedly bucked ...