| MCI Detection using fMRI time series embeddings of Recurrence plots | Nov 30, 2023 | Time Series | CodeCode Available | 0 |
| M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps | Nov 4, 2024 | Classificationcounterfactual | CodeCode Available | 0 |
| Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting | Mar 27, 2023 | Dimensionality ReductionState Estimation | CodeCode Available | 0 |
| Dilated Convolutional Neural Networks for Time Series Forecasting | Jan 2, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Better Batch for Deep Probabilistic Time Series Forecasting | May 26, 2023 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 0 |
| A Correlation Based Feature Representation for First-Person Activity Recognition | Nov 15, 2017 | Activity RecognitionEgocentric Activity Recognition | CodeCode Available | 0 |
| Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW | Sep 16, 2020 | ClusteringDynamic Time Warping | CodeCode Available | 0 |
| Diffusion model for relational inference | Jan 30, 2024 | Imputationmodel | CodeCode Available | 0 |
| Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets | Oct 23, 2017 | BenchmarkingBIG-bench Machine Learning | CodeCode Available | 0 |
| Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders | May 25, 2023 | Time Series | CodeCode Available | 0 |
| MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge | Jul 1, 2024 | Model Predictive ControlScheduling | CodeCode Available | 0 |
| Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series | Jun 25, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 0 |
| Benchmarking time series classification -- Functional data vs machine learning approaches | Nov 18, 2019 | Additive modelsBenchmarking | CodeCode Available | 0 |
| Benchmarking optimality of time series classification methods in distinguishing diffusions | Jan 30, 2023 | BenchmarkingGaussian Processes | CodeCode Available | 0 |
| Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? | May 1, 2022 | Decision MakingDeep Learning | CodeCode Available | 0 |
| Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification | Jan 14, 2025 | BenchmarkingGraph Representation Learning | CodeCode Available | 0 |
| MAGMA: Inference and Prediction with Multi-Task Gaussian Processes | Jul 21, 2020 | Gaussian ProcessesPrediction | CodeCode Available | 0 |
| Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting | Jul 28, 2023 | Load ForecastingTime Series | CodeCode Available | 0 |
| An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls | Dec 25, 2017 | Causal InferenceConformal Prediction | CodeCode Available | 0 |
| A Dynamical View of the Question of Why | Feb 14, 2024 | Time Series | CodeCode Available | 0 |
| MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks | Jan 15, 2019 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 |
| Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websites | May 16, 2023 | ArticlesMisinformation | CodeCode Available | 0 |
| Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters | Sep 29, 2019 | BIG-bench Machine LearningTime Series | CodeCode Available | 0 |
| Diffeomorphic Temporal Alignment Nets | Dec 10, 2019 | ECG ClassificationElectrocardiography (ECG) | CodeCode Available | 0 |
| Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets | Jul 19, 2019 | BenchmarkingBIG-bench Machine Learning | CodeCode Available | 0 |