1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2025★ 1 cited
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation
Ivan Lopez, Fateme Nateghi Haredasht, Kaitlin Caoili +2
Accurate classification of clinical text often requires fine-tuning pre-trained language models, a process that is costly and time-consuming due to the need for high-quality data a…
cs.LG2018
Supervised Fuzzy Partitioning
Pooya Ashtari, Fateme Nateghi Haredasht, Hamid Beigy
Centroid-based methods including k-means and fuzzy c-means are known as effective and easy-to-implement approaches to clustering purposes in many applications. However, these algor…