Time Series Classification
Time series classification is a task widely applied in various fields and scenarios, aiming to identify the source or predefined category of time series data through supervised learning methods using labeled training data. This task can effectively distinguish time series data from different sources, making it highly valuable in practical applications.
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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