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