1 code implementation • 7 May 2024 • Rochana R. Obadage, Sarah M. Rajtmajer, Jian Wu
The iterative character of work in machine learning (ML) and artificial intelligence (AI) and reliance on comparisons against benchmark datasets emphasize the importance of reproducibility in that literature.
1 code implementation • 5 Jul 2023 • Christopher McClurg, Ali Ayub, Harsh Tyagi, Sarah M. Rajtmajer, Alan R. Wagner
We term this model Few-shot Incremental Active class SeleCtiOn (FIASco).
no code implementations • 8 Apr 2021 • Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka, Arjun Manoj Menon, Sai Ajay Modukuri, Nishanth Nakshatri, Xin Wei, Zhuoer Wang, James Caverlee, Sarah M. Rajtmajer, C. Lee Giles
In this paper, we investigate prediction of the reproducibility of SBS papers using machine learning methods based on a set of features.