Papers with Code 아카이브

Skills Evaluation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

5

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ParitoshParmar/Piano-Skills-Assessment

공식 코드

Piano Skills Assessment

https://github.com/hfawaz/ijcars19

공식 코드

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

https://github.com/pragmaticslab/vote_and_rank

공식 코드

Vote'n'Rank: Revision of Benchmarking with Social Choice Theory

https://github.com/smerdov/CS_GO_Sensors_Data_Analysis

공식 코드

AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors

https://github.com/smerdov/eSports_Sensors_Dataset

공식 코드

Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset

https://github.com/smerdov/smart_chair_client

공식 코드

eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair

https://github.com/asmerdov/DataCollectionSystem

Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset

https://github.com/hfawaz/miccai18

Evaluating surgical skills from kinematic data using convolutional neural networks

https://github.com/smerdov/DataCollectionSystem

Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.