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时间序列分类
时间序列分类是一种广泛应用于多个领域和场景的任务,旨在通过监督学习方法,利用已标注的训练数据,识别时间序列来源于多个已知的源或预定义的组别。该任务能够有效区分不同来源的时间序列数据,具有重要的应用价值。
PhysioNet Challenge 2012
GRU-D - APC (n = 1)
Wafer
R_DST_Ensemble
UWave
JapaneseVowels
ArabicDigits
MALSTM-FCN
Libras
CharacterTrajectories
MALSTM-FCN
AUSLAN
GP-Sig-LSTM
DigitShapes
GP-Sig-LSTM
WalkvsRun
KickvsPunch
SNLST
NetFlow
ECG
CMUsubject16
GP-Sig-LSTM
SHAPES
EigenWorms
LEM
PEMS
pendigits
Disjoint-CNN
FaceDetection
Heartbeat
ConvTran
s2-agri
PSE+L-TAE
UEA
IT+TPS
Physionet 2017 Atrial Fibrillation
ENCASE
FordA
1D Convolution Neural Network
Insectwingbeat
Earthquakes
BorealTC
CNN
RacketSports
LP5
LP3
ERing
BasicMotions
ArrowHead
R_DST_Ensemble
Cricket
NATOPS
Beef
ECG200
Ethereum Phishing Transaction Network
time series
LP4
EthanolConcentration
Handwriting
SelfRegulationSCP2
Adiac
UCI Epileptic Seizure Recognition
StandWalkJump
TSEM
AATLD Gesture Recognition
MUSE
ECG5000
ArticularyWordRecognition
ACSF1
LP1
LP2