- 전체보기(5)
- NLP(3)
- Text Classification(3)
- SV(2)
- bioinformatics(2)
- 논문 리뷰(2)
- 논문리뷰(2)
- Structural Variation(2)
- 생명정보학(2)
- Preprocessing(1)
- CNV(1)
- feature selection(1)
- Text Classifier(1)
- ULMFit(1)
- Copy Number Variants(1)
- BI(1)
- transfer learning(1)
[논문 리뷰] Structural variation in the sequencing era (2020)
제목: Structural variation in the sequencing era (2020) : Review paper링크: https://www.nature.com/articles/s41576-019-0180-9 Structural variation (S
[논문 리뷰] SV의 간단한 소개와 역사 - A decade of structural variants: description, history and methods to detect structural variation (2015)
제목: A decade of structural variants: description, history and methods to detect structural variation (2015) : 리뷰 논문링크: https://academic.oup.com/b
[논문 리뷰] Feature selection for text classification: A review (2018)
제목: Feature selection for text classification: A review (2018)링크: https://link.springer.com/article/10.1007/s11042-018-6083-5 Text classification
[논문리뷰] Universal Language Model Fine-tuning for Text Classification (2018)
제목: Universal Language Model Fine-tuning for Text Classification (2018) 링크: https://arxiv.org/abs/1801.06146 기존의 NLP 방식은 task-specific한 설정과 tr
[논문리뷰] The impact of preprocessing on text classification (2013)
A.K. Uysal, S. Gunal / Information Processing and Management 50 (2014) 104–112 링크: https://www.sciencedirect.com/science/article/abs/pii/S0306457