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| Autoencoder-based time series clustering with energy applications | Feb 10, 2020 | ClusteringTime Series | —Unverified | 0 |
| Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models | Nov 2, 2023 | Data AugmentationTime Series | —Unverified | 0 |
| Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices | Oct 5, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Dictionary-based approach to Time Series Ordinal Classification | May 16, 2023 | ClassificationOrdinal Classification | —Unverified | 0 |
| A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis | Sep 10, 2022 | Anomaly DetectionDiversity | —Unverified | 0 |
| A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport | Nov 29, 2019 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release | Nov 20, 2020 | Privacy PreservingTime Series | —Unverified | 0 |
| It's a super deal -- train recurrent network on noisy data and get smooth prediction free | Jun 9, 2022 | PredictionTime Series | —Unverified | 0 |
| AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version | Dec 21, 2021 | Correlated Time Series ForecastingTime Series | —Unverified | 0 |
| Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data | Jan 18, 2024 | Time Series | —Unverified | 0 |
| Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning | Jan 10, 2025 | Time Series | —Unverified | 0 |
| It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal] | Oct 29, 2017 | PositionRecommendation Systems | —Unverified | 0 |
| Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks | Oct 17, 2018 | regressionTime Series | —Unverified | 0 |
| Deep Decomposition for Stochastic Normal-Abnormal Transport | Nov 29, 2021 | Optical Flow EstimationTime Series | —Unverified | 0 |
| AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models | Feb 25, 2025 | MarketingMisinformation | —Unverified | 0 |
| AutoAI-TS: AutoAI for Time Series Forecasting | Feb 24, 2021 | BenchmarkingBIG-bench Machine Learning | —Unverified | 0 |
| Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach | Nov 5, 2024 | Earth ObservationTime Series | —Unverified | 0 |
| Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data | May 19, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Joint Characterization of Multiscale Information in High Dimensional Data | Feb 18, 2021 | Dimensionality ReductionTime Series | —Unverified | 0 |
| Deep COVID-19 Forecasting for Multiple States with Data Augmentation | Feb 2, 2023 | Data AugmentationTime Series | —Unverified | 0 |
| Deep Coupling Network For Multivariate Time Series Forecasting | Feb 23, 2024 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 |
| Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series | Nov 29, 2016 | General ClassificationTime Series | —Unverified | 0 |
| A detection analysis for temporal memory patterns at different time-scales | Sep 21, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network | Apr 23, 2025 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset | Jun 25, 2025 | Computational EfficiencyQuestion Answering | —Unverified | 0 |
| Deep Convolutional Neural Network for Non-rigid Image Registration | Apr 24, 2021 | Image RegistrationTime Series | —Unverified | 0 |
| Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images | May 5, 2020 | Decision MakingGenerative Adversarial Network | —Unverified | 0 |
| A Unified Method for First and Third Person Action Recognition | Dec 30, 2017 | Action RecognitionGeneral Classification | —Unverified | 0 |
| Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems | Sep 18, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A unified machine learning approach to time series forecasting applied to demand at emergency departments | Jul 13, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions | May 16, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting | Mar 23, 2023 | AllGraph Neural Network | —Unverified | 0 |
| Deep Classification of Epileptic Signals | Jan 11, 2018 | ClassificationEEG | —Unverified | 0 |
| A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes | Apr 21, 2021 | ManagementTime Series | —Unverified | 0 |
| DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection | Jul 18, 2024 | Deep Reinforcement LearningTime Series | —Unverified | 0 |
| Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning | Jul 26, 2020 | Deep LearningTime Series | —Unverified | 0 |
| A unified framework of epidemic spreading prediction by empirical mode decomposition based ensemble learning techniques | Jan 3, 2019 | Ensemble LearningPrediction | —Unverified | 0 |
| Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes | Feb 23, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information | Jan 12, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| Deep Canonical Time Warping | Jun 1, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series | Oct 23, 2017 | Recommendation SystemsTime Series | —Unverified | 0 |
| Deep Canonically Correlated LSTMs | Jan 16, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids | Nov 22, 2024 | energy managementLoad Forecasting | —Unverified | 0 |
| A dependent partition-valued process for multitask clustering and time evolving network modelling | Mar 13, 2013 | ClusteringGaussian Processes | —Unverified | 0 |
| Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation | Dec 20, 2024 | Anomaly DetectionTime Series | —Unverified | 0 |
| Iterative Sparse Identification of Nonlinear Dynamics | Jun 6, 2024 | Compressive SensingTime Series | —Unverified | 0 |
| Deep Bayesian Nonparametric Tracking | Jul 1, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Baseline Network for Time Series Modeling and Anomaly Detection | Sep 10, 2022 | Anomaly DetectionTime Series | —Unverified | 0 |
| A Unified Approach to Extract Interpretable Rules from Tree Ensembles via Integer Programming | Jun 30, 2024 | regressionTime Series | —Unverified | 0 |