| Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels | Sep 25, 2023 | Anomaly DetectionComputational Efficiency | CodeCode Available | 1 | 5 |
| Online Change Point Detection in Molecular Dynamics With Optical Random Features | Jun 15, 2020 | Change Point DetectionTime Series | CodeCode Available | 1 | 5 |
| Evaluation of post-hoc interpretability methods in time-series classification | Feb 11, 2022 | ClassificationTime Series | CodeCode Available | 1 | 5 |
| On the performance of deep learning models for time series classification in streaming | Mar 5, 2020 | General ClassificationTime Series | CodeCode Available | 1 | 5 |
| Detecting Looted Archaeological Sites from Satellite Image Time Series | Sep 14, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Open challenges for Machine Learning based Early Decision-Making research | Apr 27, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting | Mar 22, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers | May 11, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement | Feb 16, 2023 | Speech EnhancementTime Series | CodeCode Available | 1 | 5 |
| Instance-wise Graph-based Framework for Multivariate Time Series Forecasting | Sep 14, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model | Aug 18, 2023 | DenoisingManagement | CodeCode Available | 1 | 5 |
| Differentiable Compositional Kernel Learning for Gaussian Processes | Jun 12, 2018 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Differentiable Divergences Between Time Series | Oct 16, 2020 | Dynamic Time WarpingTime Series | CodeCode Available | 1 | 5 |
| An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks | Nov 29, 2022 | PredictionTime Series | CodeCode Available | 1 | 5 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 | 5 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Diffusion-based Conditional ECG Generation with Structured State Space Models | Jan 19, 2023 | State Space ModelsSynthetic Data Generation | CodeCode Available | 1 | 5 |
| Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysis | Mar 14, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
| Instance-based Counterfactual Explanations for Time Series Classification | Sep 28, 2020 | Classificationcounterfactual | CodeCode Available | 1 | 5 |
| DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations | Mar 3, 2022 | Decision MakingDisentanglement | CodeCode Available | 1 | 5 |
| Integrating LSTMs and GNNs for COVID-19 Forecasting | Jul 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Dimensionality reduction to maximize prediction generalization capability | Mar 1, 2020 | Dimensionality ReductionPrediction | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
