Time Series Classification
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。
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time series
AATLD Gesture Recognition
MUSE
ACSF1
Adiac
ArabicDigits
MALSTM-FCN
ArrowHead
R_DST_Ensemble
ArticularyWordRecognition
AUSLAN
GP-Sig-LSTM
BasicMotions
Beef
BorealTC
CNN
CharacterTrajectories
MALSTM-FCN
CMUsubject16
SNLST
Cricket
DigitShapes
SNLST
Earthquakes
ECG
ECG200
ECG5000
EigenWorms
LEM
ERing
EthanolConcentration
FaceDetection
FordA
1D Convolution Neural Network
Handwriting
Heartbeat
ConvTran
Insectwingbeat
JapaneseVowels
KickvsPunch
SNLST
Libras
LP1
LP2
LP3
LP4
LP5
NATOPS
NetFlow
PEMS
pendigits
Disjoint-CNN
Physionet 2017 Atrial Fibrillation
ENCASE
PhysioNet Challenge 2012
GRU-D - APC (n = 1)
RacketSports
s2-agri
PSE+L-TAE
SelfRegulationSCP2
SHAPES
StandWalkJump
TSEM
UCI Epileptic Seizure Recognition
UEA
IT+TPS
UWave
Wafer
R_DST_Ensemble
WalkvsRun