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| Delay Embedding Theory of Neural Sequence Models | Jun 17, 2024 | Inductive BiasState Space Models | —Unverified | 0 |
| Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia | Dec 3, 2019 | Image Quality AssessmentSuper-Resolution | —Unverified | 0 |
| Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design? | Sep 7, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 |
| An Euler-based GAN for time series | Jan 1, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models | Aug 28, 2024 | Decision MakingTime Series | —Unverified | 0 |
| Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks | Jul 9, 2020 | ManagementTime Series | —Unverified | 0 |
| Defined the predictors of the lightning over India by using artificial neural network | Apr 28, 2021 | regressionTime Series | —Unverified | 0 |
| Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection | May 1, 2022 | regressionTime Series | —Unverified | 0 |
| Band-Pass Filtering with High-Dimensional Time Series | May 11, 2023 | Time SeriesVocal Bursts Intensity Prediction | —Unverified | 0 |
| DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions | Sep 23, 2022 | Computational EfficiencyTime Series | —Unverified | 0 |
| Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition | Oct 24, 2016 | Decision MakingTime Series | —Unverified | 0 |
| A network-based transfer learning approach to improve sales forecasting of new products | May 13, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition | Jun 19, 2023 | Feature EngineeringLoad Forecasting | —Unverified | 0 |
| Deep Video Prediction for Time Series Forecasting | Feb 24, 2021 | Decision MakingPrediction | —Unverified | 0 |
| DeepVARMA: A Hybrid Deep Learning and VARMA Model for Chemical Industry Index Forecasting | Apr 26, 2024 | PredictionTime Series | —Unverified | 0 |
| Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting | Sep 26, 2023 | Computational EfficiencyDrift Detection | —Unverified | 0 |
| Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility | Apr 23, 2020 | Decision MakingTime Series | —Unverified | 0 |
| Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives | Aug 15, 2022 | Domain AdaptationDomain Generalization | —Unverified | 0 |
| Bag of Recurrence Patterns Representation for Time-Series Classification | Mar 29, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| An Equilibrium Model for the Cross-Section of Liquidity Premia | Nov 27, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer | Aug 6, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction | Jul 11, 2017 | PredictionTime Series | —Unverified | 0 |
| Deep Transformer Networks for Time Series Classification: The NPP Safety Case | Apr 9, 2021 | General ClassificationTime Series | —Unverified | 0 |
| An ensemble of convolution-based methods for fault detection using vibration signals | May 5, 2023 | Fault DetectionTime Series | —Unverified | 0 |
| Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth Prediction | Jul 10, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Adversarial attacks against Bayesian forecasting dynamic models | Oct 20, 2021 | regressionTime Series | —Unverified | 0 |
| Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation | Aug 6, 2020 | Data AugmentationDynamic Time Warping | —Unverified | 0 |
| Improving the Noise Estimation of Latent Neural Stochastic Differential Equations | Dec 23, 2024 | Noise EstimationTime Series | —Unverified | 0 |
| Improving the spectral resolution of fMRI signals through the temporal de-correlation approach | Sep 24, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| Forecasting adverse surgical events using self-supervised transfer learning for physiological signals | Feb 12, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Time Warping for Multiple Time Series Alignment | Feb 22, 2025 | Dynamic Time WarpingMultiple Sequence Alignment | —Unverified | 0 |
| Deep Time Series Models for Scarce Data | Mar 16, 2021 | Model SelectionTime Series | —Unverified | 0 |
| An Ensemble method for Content Selection for Data-to-text Systems | Jun 9, 2015 | General ClassificationMulti-Label Classification | —Unverified | 0 |
| An End-to-End Time Series Model for Simultaneous Imputation and Forecast | Jun 1, 2023 | ImputationMissing Values | —Unverified | 0 |
| DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series | Sep 21, 2021 | Anomaly DetectionTime Series | —Unverified | 0 |
| Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models | Jan 10, 2020 | Deep LearningElectrocardiography (ECG) | —Unverified | 0 |
| Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary | Jul 13, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 |
| An End-to-End Model for Time Series Classification In the Presence of Missing Values | Aug 11, 2024 | ClassificationImputation | —Unverified | 0 |
| Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study | May 28, 2023 | Adversarial RobustnessBackdoor Attack | —Unverified | 0 |
| Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection | Jul 25, 2020 | Anomaly DetectionGenerative Adversarial Network | —Unverified | 0 |
| Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models | Jun 18, 2024 | Out-of-Distribution GeneralizationTime Series | —Unverified | 0 |
| Deep Temporal Contrastive Clustering | Dec 29, 2022 | ClusteringContrastive Learning | —Unverified | 0 |
| Improving self-supervised pretraining models for epileptic seizure detection from EEG data | Jun 28, 2022 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| Deep Symbolic Representation Learning for Heterogeneous Time-series Classification | Dec 5, 2016 | ClassificationGeneral Classification | —Unverified | 0 |
| AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree | Dec 13, 2022 | ClusteringOutlier Detection | —Unverified | 0 |
| Deep Switch Networks for Generating Discrete Data and Language | Mar 14, 2019 | DecoderTime Series | —Unverified | 0 |
| A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment | Dec 19, 2024 | Bayesian OptimizationDemand Forecasting | —Unverified | 0 |
| Improving Solar Flare Prediction by Time Series Outlier Detection | Jun 14, 2022 | Outlier DetectionPrediction | —Unverified | 0 |
| Deep Subspace Encoders for Nonlinear System Identification | Oct 26, 2022 | PredictionState Estimation | —Unverified | 0 |