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Showing 8651–8675 of 9169 papers

TitleStatusHype
Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy—0
Time Series Prediction about Air Quality using LSTM-Based Models: A Systematic Mapping—0
tspDB: Time Series Predict DB—0
Time-Series Pattern Recognition in Smart Manufacturing Systems: A Literature Review and Ontology—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
Human activity recognition based on time series analysis using U-Net—0
TS-BERT: A fusion model for Pre-trainning Time Series-Text Representations—0
Cross-Lingual Topic Alignment in Time Series Japanese / Chinese News—0
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data—0
Time Series of Non-Additive Metrics: Identification and Interpretation of Contributing Factors of Variance by Linear Decomposition—0
Time series numerical association rule mining variants in smart agriculture—0
TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models—0
Trend-Following Strategies via Dynamic Momentum Learning—0
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Time series modelling to forecast the confirmed and recovered cases of COVID-19—0
Time-series modeling with undecimated fully convolutional neural networks—0
TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting—0
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting—0
Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method—0
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers—0
HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction—0
Crossing penalised CAViaR—0
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series—0
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction—0
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