| A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP | Oct 25, 2023 | Binary ClassificationDeep Learning | CodeCode Available | 1 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting | Mar 22, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case | Jan 23, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
| DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting | Jun 11, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks | Nov 29, 2022 | PredictionTime Series | CodeCode Available | 1 |
| Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown | Feb 21, 2021 | DecoderTime Series | CodeCode Available | 1 |
| Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series | Apr 25, 2024 | Earth ObservationImage Super-Resolution | CodeCode Available | 1 |
| Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels | Sep 25, 2023 | Anomaly DetectionComputational Efficiency | CodeCode Available | 1 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| Detecting Looted Archaeological Sites from Satellite Image Time Series | Sep 14, 2024 | Time Series | CodeCode Available | 1 |
| Differentiable Divergences Between Time Series | Oct 16, 2020 | Dynamic Time WarpingTime Series | CodeCode Available | 1 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 |
| Diffusion-based Conditional ECG Generation with Structured State Space Models | Jan 19, 2023 | State Space ModelsSynthetic Data Generation | CodeCode Available | 1 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | CodeCode Available | 1 |
| Diffusion Transformers for Tabular Data Time Series Generation | Apr 10, 2025 | Tabular Data GenerationTime Series | CodeCode Available | 1 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 |
| Dimensionality reduction to maximize prediction generalization capability | Mar 1, 2020 | Dimensionality ReductionPrediction | CodeCode Available | 1 |
| Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics | May 3, 2023 | Time Series | CodeCode Available | 1 |
| COVID-19 Data Analysis and Forecasting: Algeria and the World | Jul 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series | Jun 4, 2024 | HumanitarianTime Series | CodeCode Available | 1 |
| Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA | Jun 17, 2021 | Dimensionality ReductionDisentanglement | CodeCode Available | 1 |
| Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting | Feb 18, 2025 | DisentanglementTime Series | CodeCode Available | 1 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
