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.
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