| Adversarial Attacks on Probabilistic Autoregressive Forecasting Models | Mar 8, 2020 | Decision MakingTime Series | CodeCode Available | 1 |
| Adversarial Attacks on Time Series | Feb 27, 2019 | ClassificationDynamic Time Warping | CodeCode Available | 1 |
| An Evaluation of Deep Learning Models for Stock Market Trend Prediction | Aug 22, 2024 | DenoisingTime Series | CodeCode Available | 1 |
| Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations | Apr 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Data Normalization for Bilinear Structures in High-Frequency Financial Time-series | Jan 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting | Nov 5, 2022 | Anomaly Detectionregression | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
| PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation | Aug 16, 2024 | Blood pressure estimationContrastive Learning | CodeCode Available | 1 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| Adversarial Examples in Deep Learning for Multivariate Time Series Regression | Sep 24, 2020 | Adversarial AttackDeep Learning | CodeCode Available | 1 |
| AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme | May 8, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| 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 |
| Deep Attentive Time Warping | Sep 13, 2023 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data | May 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Crop mapping from image time series: deep learning with multi-scale label hierarchies | Feb 17, 2021 | Crop ClassificationGeneral Classification | CodeCode Available | 1 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Deep Latent State Space Models for Time-Series Generation | Dec 24, 2022 | State Space ModelsTime Series | CodeCode Available | 1 |
| Adversarial Sparse Transformer for Time Series Forecasting | Dec 1, 2020 | Multivariate Time Series ForecastingPrediction | CodeCode Available | 1 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 |
| CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables | May 29, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Deep Semi-Supervised Learning for Time Series Classification | Feb 6, 2021 | ClassificationData Augmentation | CodeCode Available | 1 |
| Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting | Dec 11, 2024 | Adversarial AttackTime 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 |
