| Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition | May 30, 2023 | Activity RecognitionGenerative Adversarial Network | —Unverified | 0 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting | May 30, 2023 | DecoderTime Series | CodeCode Available | 1 |
| Impulse Response Analysis of Structural Nonlinear Time Series Models | May 30, 2023 | Time Series | —Unverified | 0 |
| Taylorformer: Probabilistic Modelling for Random Processes including Time Series | May 30, 2023 | Gaussian ProcessesMeta-Learning | CodeCode Available | 0 |
| Testing for the Markov Property in Time Series via Deep Conditional Generative Learning | May 30, 2023 | Time Series | CodeCode Available | 0 |
| Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting | May 30, 2023 | ClusteringTime Series | CodeCode Available | 1 |
| Learning Perturbations to Explain Time Series Predictions | May 30, 2023 | Time Series | CodeCode Available | 1 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders | May 29, 2023 | DecoderImputation | —Unverified | 0 |
| A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting | May 28, 2023 | Inductive BiasTime Series | CodeCode Available | 0 |
| Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers | May 28, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Time-Varying Vector Error-Correction Models: Estimation and Inference | May 28, 2023 | Time Series | —Unverified | 0 |
| Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study | May 28, 2023 | Adversarial RobustnessBackdoor Attack | —Unverified | 0 |
| An Effective WGAN-based Anomaly Detection Model for loT Multivariate Time Series Published on Pacific-Asia Conference on Knowledge Discovery and Data Mining | May 27, 2023 | PredictionTime Series | CodeCode Available | 0 |
| On random number generators and practical market efficiency | May 27, 2023 | Time Series | —Unverified | 0 |
| Duality in Multi-View Restricted Kernel Machines | May 26, 2023 | Time Series | CodeCode Available | 0 |
| Improving Position Encoding of Transformers for Multivariate Time Series Classification | May 26, 2023 | Anomaly DetectionPosition | CodeCode Available | 1 |
| Preliminary studies: Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction | May 26, 2023 | Decision MakingTime Series | —Unverified | 0 |
| Clustering Method for Time-Series Images Using Quantum-Inspired Computing Technology | May 26, 2023 | ClusteringCombinatorial Optimization | —Unverified | 0 |
| Improved Sales Forecasting using Trend and Seasonality Decomposition with LightGBM | May 26, 2023 | Time Series | —Unverified | 0 |
| Better Batch for Deep Probabilistic Time Series Forecasting | May 26, 2023 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 0 |
| Diagnostic Spatio-temporal Transformer with Faithful Encoding | May 26, 2023 | DiagnosticTime Series | —Unverified | 0 |
| On the Generalization and Approximation Capacities of Neural Controlled Differential Equations | May 26, 2023 | Time Series | —Unverified | 0 |
| Knowledge Extraction with Interval Temporal Logic Decision Trees | May 26, 2023 | ClassificationTime Series | —Unverified | 0 |
