Papers with Code · CC BY-SA 4.0

PhysioNet Challenge 2012

아카이브 평가 28건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
GRU-D	AUC 86.99% AUC Stdev 0.22%	Set Functions for Time Series 2019-09-26	코드 1 · 코드 2
IP-NETS	AUC 86.42% AUC Stdev 0.18%	Interpolation-Prediction Networks for Irregularly Sampled Time Series 2019-09-13	코드 1
Transformer	AUC 86.28% AUC Stdev 0.35%	Set Functions for Time Series 2019-09-26	코드 1 · 코드 2
IP-Nets	AUC 86.24% AUC Stdev 0.38%	Set Functions for Time Series 2019-09-26	코드 1 · 코드 2
mTAND-Full	AUC 85.8%	Multi-Time Attention Networks for Irregularly Sampled Time Series 2021-01-25	코드 1 · 코드 2
mTAND-Enc	AUC 85.4%	Multi-Time Attention Networks for Irregularly Sampled Time Series 2021-01-25	코드 1 · 코드 2
SeFT-Attn	AUC 85.14% AUC Stdev 0.13%	Set Functions for Time Series 2019-09-26	코드 1 · 코드 2
GRU-D	AUC 84.24% AUC Stdev 0.012%	Recurrent Neural Networks for Multivariate Time Series with Missing Values 2016-06-06	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7
STraTS	AUC 83.90%	Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series 2021-07-29	코드 1
ODE-RNN	AUC 83.3% AUC Stdev 0.9%	Latent ODEs for Irregularly-Sampled Time Series 2019-07-08	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11
Latent ODE (ODE enc	AUC 82.9% AUC Stdev 0.4%	Latent ODEs for Irregularly-Sampled Time Series 2019-07-08	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11
Latent ODE + Poisson	AUC 82.6% AUC Stdev 0.7%	Latent ODEs for Irregularly-Sampled Time Series 2019-07-08	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11
GRU-Simple	AUC 81.69% AUC Stdev 0.43%	Set Functions for Time Series 2019-09-26	코드 1 · 코드 2
Phased-LSTM	AUC 79.94% AUC Stdev 1.17%	Set Functions for Time Series 2019-09-26	코드 1 · 코드 2
RNN ∆t	AUC 78.7% AUC Stdev 1.4%	연결 없음 논문 날짜 미기재	연결 없음
GRU-D - APC (n = 1)	AUPRC 55.1	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-Simple	AUPRC 53.8	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-D [12]	AUROC 0.863 AUPRC 53.7	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-APC (n = 1)	AUPRC 53.5	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-D - APC (n = 0)	AUPRC 53.3	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-D	AUPRC 53.1	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-Forward	AUPRC 52	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU	AUPRC 51.4	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-APC (n = 0)	AUPRC 50.4	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-Mean	AUPRC 50.3	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
BRITS [4]	AUROC 0.85	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-D [6]	AUROC 0.8424	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1
GRU-D [4]	AUROC 0.834	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning 2021-06-29	코드 1