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| DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection | Jul 18, 2024 | Deep Reinforcement LearningTime Series | —Unverified | 0 | 0 |
| Sketching Multidimensional Time Series for Fast Discord Mining | Nov 5, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Interpretable Transformation and Analysis of Timelines through Learning via Surprisability | Mar 6, 2025 | Time Series | —Unverified | 0 | 0 |
| Learning Disentangled Representations for Time Series | May 17, 2021 | DisentanglementRepresentation Learning | —Unverified | 0 | 0 |
| Skill-Based Differences in Spatio-Temporal Team Behavior in Defence of The Ancients 2 | Mar 24, 2016 | ClusteringDota 2 | —Unverified | 0 | 0 |
| Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning | Jul 26, 2020 | Deep LearningTime Series | —Unverified | 0 | 0 |
| A unified framework of epidemic spreading prediction by empirical mode decomposition based ensemble learning techniques | Jan 3, 2019 | Ensemble LearningPrediction | —Unverified | 0 | 0 |
| Interpretable time series neural representation for classification purposes | Oct 25, 2023 | ClassificationRepresentation Learning | —Unverified | 0 | 0 |
| SleepNet: Automated Sleep Analysis via Dense Convolutional Neural Network Using Physiological Time Series | Mar 11, 2019 | Multi-Task LearningTime Series | —Unverified | 0 | 0 |
| Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information | Jan 12, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 | 0 |
| SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography | Apr 10, 2024 | Deep LearningManagement | —Unverified | 0 | 0 |
| SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography | Feb 11, 2022 | ManagementPhotoplethysmography (PPG) | —Unverified | 0 | 0 |
| SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging | Oct 15, 2021 | Representation LearningSelf-Supervised Learning | —Unverified | 0 | 0 |
| Interpretable Time Series Clustering Using Local Explanations | Aug 1, 2022 | ClassificationClustering | —Unverified | 0 | 0 |
| Deep Canonical Time Warping | Jun 1, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpretable System Identification and Long-term Prediction on Time-Series Data | Mar 2, 2023 | PredictionTime Series | —Unverified | 0 | 0 |
| SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies | Feb 11, 2023 | Decision MakingMultivariate Time Series Forecasting | —Unverified | 0 | 0 |
| Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation | Mar 30, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpretable Super-Resolution via a Learned Time-Series Representation | Jun 13, 2020 | Super-ResolutionTime Series | —Unverified | 0 | 0 |
| Deep Canonically Correlated LSTMs | Jan 16, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 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 | 0 |
| A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids | Nov 22, 2024 | energy managementLoad Forecasting | —Unverified | 0 | 0 |
| Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning | May 14, 2023 | energy managementGenerative Adversarial Network | —Unverified | 0 | 0 |
| A dependent partition-valued process for multitask clustering and time evolving network modelling | Mar 13, 2013 | ClusteringGaussian Processes | —Unverified | 0 | 0 |