| Complex systems approach to natural language | Jan 5, 2024 | Time SeriesTime Series Analysis | —Unverified | 0 |
| The Rise of Diffusion Models in Time-Series Forecasting | Jan 5, 2024 | Time SeriesTime Series Analysis | CodeCode Available | 3 |
| Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis | Jan 5, 2024 | RelationTime Series | CodeCode Available | 0 |
| UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model | Jan 5, 2024 | Time SeriesTime Series Prediction | CodeCode Available | 2 |
| Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows | Jan 4, 2024 | ManagementTime Series | CodeCode Available | 0 |
| Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods | Jan 4, 2024 | Time Series | —Unverified | 0 |
| Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation | Jan 4, 2024 | Deep AttentionImputation | —Unverified | 0 |
| U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting | Jan 4, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data | Jan 3, 2024 | Time Series | —Unverified | 0 |
| CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition | Jan 3, 2024 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 |
| Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels | Jan 3, 2024 | Computational EfficiencyDecoder | —Unverified | 0 |
| Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review | Jan 3, 2024 | Air Pollution PredictionDiversity | —Unverified | 0 |
| Representation Learning of Multivariate Time Series using Attention and Adversarial Training | Jan 3, 2024 | counterfactualDecision Making | CodeCode Available | 1 |
| Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences | Jan 3, 2024 | Fraud DetectionTime Series | CodeCode Available | 0 |
| Explainable Adaptive Tree-based Model Selection for Time Series Forecasting | Jan 2, 2024 | Decision MakingDrift Detection | —Unverified | 0 |
| CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series | Jan 2, 2024 | Change DetectionTime Series | —Unverified | 0 |
| Encoding Binary Events from Continuous Time Series in Rooted Trees using Contrastive Learning | Jan 2, 2024 | Contrastive LearningTime Series | —Unverified | 0 |
| UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition | Jan 1, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 5 |
| OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning | Jan 1, 2024 | 3D Point Cloud ClassificationAction Classification | —Unverified | 0 |
| Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective | Jan 1, 2024 | Fraud DetectionTime Series | —Unverified | 0 |
| MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting | Dec 31, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach | Dec 31, 2023 | Hybrid Machine LearningTime Series | —Unverified | 0 |
| Introduction of L0 norm and application of L1 and C1 norm in the study of time-series | Dec 30, 2023 | Time SeriesTopological Data Analysis | —Unverified | 0 |
| SALSA: Sequential Approximate Leverage-Score Algorithm with Application in Analyzing Big Time Series Data | Dec 30, 2023 | Time Series | —Unverified | 0 |
| Transformer Multivariate Forecasting: Less is More? | Dec 30, 2023 | Temporal SequencesTime Series | CodeCode Available | 0 |
| Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting | Dec 29, 2023 | AttributeEnsemble Learning | CodeCode Available | 1 |
| Synthetic Data Applications in Finance | Dec 29, 2023 | FairnessTime Series | —Unverified | 0 |
| On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors | Dec 28, 2023 | Time Series | —Unverified | 0 |
| Causal Discovery in Financial Markets: A Framework for Nonstationary Time-Series Data | Dec 28, 2023 | Causal DiscoveryTime Series | —Unverified | 0 |
| Comparative study of clustering models for multivariate time series from connected medical devices | Dec 28, 2023 | ClusteringTime Series | —Unverified | 0 |
| STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction | Dec 28, 2023 | RetrievalTime Series | CodeCode Available | 1 |
| TSPP: A Unified Benchmarking Tool for Time-series Forecasting | Dec 28, 2023 | BenchmarkingFeature Engineering | CodeCode Available | 0 |
| Joint Signal Recovery and Graph Learning from Incomplete Time-Series | Dec 28, 2023 | Graph LearningTime Series | —Unverified | 0 |
| Knowledge Enhanced Conditional Imputation for Healthcare Time-series | Dec 27, 2023 | BenchmarkingImputation | CodeCode Available | 0 |
| Continuous-time Autoencoders for Regular and Irregular Time Series Imputation | Dec 27, 2023 | ImputationIrregular Time Series | —Unverified | 0 |
| Soft Contrastive Learning for Time Series | Dec 27, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Photovoltaic power forecasting using quantum machine learning | Dec 27, 2023 | Quantum Machine LearningTime Series | —Unverified | 0 |
| FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting | Dec 27, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Learning to Embed Time Series Patches Independently | Dec 27, 2023 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting | Dec 27, 2023 | Contrastive LearningCorrelated Time Series Forecasting | —Unverified | 0 |
| Attention-Enhanced Reservoir Computing | Dec 27, 2023 | PredictionTemporal Sequences | CodeCode Available | 0 |
| Curriculum Design Helps Spiking Neural Networks to Classify Time Series | Dec 26, 2023 | Time Series | —Unverified | 0 |
| MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions | Dec 26, 2023 | EEGTime Series | CodeCode Available | 0 |
| Review on Causality Detection Based on Empirical Dynamic Modeling | Dec 26, 2023 | Time Series | —Unverified | 0 |
| Curricular and Cyclical Loss for Time Series Learning Strategy | Dec 26, 2023 | Time Series | —Unverified | 0 |
| TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning | Dec 25, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training | Dec 23, 2023 | Image Generationreinforcement-learning | CodeCode Available | 0 |
| Anticipating dengue outbreaks using a novel hybrid ARIMA-ARNN model with exogenous variables | Dec 23, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Forecasting insect abundance using time series embedding and machine learning | Dec 22, 2023 | Time Series | —Unverified | 0 |
| C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting | Dec 22, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |