박사

네트워크 데이터 셋의 클래스 불균형 해결을 위한 데이터 생성 및 분류 프레임워크 = Data generation and classification framework for resolving class imbalances in network data sets

이우호 2020년
논문상세정보
' 네트워크 데이터 셋의 클래스 불균형 해결을 위한 데이터 생성 및 분류 프레임워크 = Data generation and classification framework for resolving class imbalances in network data sets' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 컴퓨터 프로그래밍,프로그램,자료
  • 계층 어텐션 네트워크
  • 데이터불균형
  • 생성적 적대 신경망
  • 인공신경망
  • 인공지능
  • 침입탐지시스템
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
4,400 0

0.0%

' 네트워크 데이터 셋의 클래스 불균형 해결을 위한 데이터 생성 및 분류 프레임워크 = Data generation and classification framework for resolving class imbalances in network data sets' 의 참고문헌

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