| Approximate Factor Models for Functional Time Series | Jan 7, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation | Mar 23, 2022 | Earth ObservationSemantic Segmentation | CodeCode Available | 0 |
| BrazilDAM: A Benchmark dataset for Tailings Dam Detection | Mar 17, 2020 | Binary ClassificationClassification | CodeCode Available | 0 |
| Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks | Nov 12, 2019 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Multimodal Estimation of Change Points of Physiological Arousal in Drivers | Oct 28, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis | Jun 23, 2018 | Deep LearningGeneral Classification | CodeCode Available | 0 |
| Dynamic cyber risk estimation with Competitive Quantile Autoregression | Jan 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Dynamic Contrastive Learning for Time Series Representation | Oct 20, 2024 | Contrastive LearningRepresentation Learning | CodeCode Available | 0 |
| Action Recognition Using Volumetric Motion Representations | Nov 19, 2019 | Action RecognitionData Augmentation | CodeCode Available | 0 |
| Multicriteria decision support employing adaptive prediction in a tensor-based feature representation | Jan 12, 2024 | Decision MakingPrediction | CodeCode Available | 0 |
| MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing | Nov 26, 2024 | MambaMultivariate Time Series Forecasting | CodeCode Available | 0 |
| Dynamical Survival Analysis with Controlled Latent States | Jan 30, 2024 | ManagementSurvival Analysis | CodeCode Available | 0 |
| MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features | Oct 19, 2023 | Contrastive LearningRepresentation Learning | CodeCode Available | 0 |
| DynaConF: Dynamic Forecasting of Non-Stationary Time Series | Sep 17, 2022 | Deep LearningTime Series | CodeCode Available | 0 |
| mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale | Jun 26, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 0 |
| DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks | Jan 19, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| MS-TVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Dynamic Convolution | Jun 8, 2025 | Time SeriesTime Series Prediction | CodeCode Available | 0 |
| Bootstrap aggregation and confidence measures to improve time series causal discovery | Jun 15, 2023 | Causal DiscoveryTime Series | CodeCode Available | 0 |
| Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured Matrix | May 21, 2024 | Computational EfficiencyTime Series | CodeCode Available | 0 |
| Duality in Multi-View Restricted Kernel Machines | May 26, 2023 | Time Series | CodeCode Available | 0 |
| MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans | Dec 2, 2024 | Time Series | CodeCode Available | 0 |
| MPADA: Open source framework for multimodal time series antenna array measurements | Aug 29, 2024 | Time Series | CodeCode Available | 0 |
| Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction | Jul 31, 2024 | Time Series | CodeCode Available | 0 |
| MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting | Mar 26, 2018 | Astronomyregression | CodeCode Available | 0 |
| Monte Carlo EM for Deep Time Series Anomaly Detection | Dec 29, 2021 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification | Mar 1, 2021 | Data AugmentationDynamic Time Warping | CodeCode Available | 0 |
| Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting | May 6, 2024 | Computational EfficiencyTime Series | CodeCode Available | 0 |
| A bootstrap test to detect prominent Granger-causalities across frequencies | Mar 1, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Monotonic Gaussian Process Flow | May 30, 2019 | Gaussian ProcessesTime Series | CodeCode Available | 0 |
| DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis | Dec 1, 2024 | Computational EfficiencyPhysics-informed machine learning | CodeCode Available | 0 |
| DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting | Nov 3, 2019 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series | Nov 28, 2023 | Additive modelsfeature selection | CodeCode Available | 0 |
| Dropout Feature Ranking for Deep Learning Models | Dec 22, 2017 | Deep LearningTime Series | CodeCode Available | 0 |
| Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network | Nov 19, 2019 | Autonomous VehiclesDriver Identification | CodeCode Available | 0 |
| Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification | Sep 30, 2024 | Model SelectionTime Series | CodeCode Available | 0 |
| Block-Structure Based Time-Series Models For Graph Sequences | Apr 24, 2018 | Community DetectionTime Series | CodeCode Available | 0 |
| Model selection in reconciling hierarchical time series | Oct 21, 2020 | modelModel Selection | CodeCode Available | 0 |
| Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators | Apr 1, 2021 | Model SelectionTime Series | CodeCode Available | 0 |
| Modelling stellar activity with Gaussian process regression networks | May 13, 2022 | Gaussian Processesregression | CodeCode Available | 0 |
| Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting | Dec 11, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting | Feb 25, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data | Jan 13, 2025 | Time Series | CodeCode Available | 0 |
| Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? | May 20, 2023 | DecoderTime Series | CodeCode Available | 0 |
| Concurrent Neural Network : A model of competition between times series | Sep 30, 2020 | PredictionTime Series | CodeCode Available | 0 |
| Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows | Sep 17, 2023 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery | Mar 15, 2021 | Language ModellingTime Series | CodeCode Available | 0 |
| Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs | Aug 6, 2024 | Computational EfficiencyTime Series | CodeCode Available | 0 |
| Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks | May 24, 2017 | Point ProcessesTime Series | CodeCode Available | 0 |
| Modeling the Dynamics of Growth in Master-Planned Communities | Aug 26, 2024 | NavigateTime Series | CodeCode Available | 0 |
| Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models | Jan 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |