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| An Empirical Evaluation of Similarity Measures for Time Series Classification | Jan 16, 2014 | ClassificationClustering | —Unverified | 0 | 0 |
| Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis | May 31, 2024 | PredictionTime Series | —Unverified | 0 | 0 |
| VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading | Sep 5, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Learning Financial Networks with High-frequency Trade Data | Aug 6, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Neural Networks for automatic extraction of features in time series satellite images | Aug 17, 2020 | Earth ObservationLand Cover Classification | —Unverified | 0 | 0 |
| Learning Ensembles of Anomaly Detectors on Synthetic Data | May 20, 2019 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Permutation-based tests for discontinuities in event studies | Jul 20, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Learning ECG Signal Features Without Backpropagation Using Linear Laws | Jul 4, 2023 | Representation LearningTime Series | —Unverified | 0 | 0 |
| Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting | Aug 30, 2022 | DecoderTime Series | —Unverified | 0 | 0 |
| Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL | Jun 15, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems | Nov 11, 2020 | Deep LearningTime Series | —Unverified | 0 | 0 |
| Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks | Feb 22, 2022 | Inductive BiasTime Series | —Unverified | 0 | 0 |
| Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks | Nov 11, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Learning dynamic Boltzmann machines with spike-timing dependent plasticity | Sep 29, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Neural Network Estimation in Panel Data Models | May 31, 2023 | Time Series | —Unverified | 0 | 0 |
| Learning Disentangled Representations of Satellite Image Time Series | Mar 21, 2019 | Change Detectionimage-classification | —Unverified | 0 | 0 |
| Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data | Jul 7, 2023 | PredictionSelf-Supervised Learning | —Unverified | 0 | 0 |
| Deep Neural Models of Semantic Shift | Jun 1, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Pets: General Pattern Assisted Architecture For Time Series Analysis | Apr 19, 2025 | Anomaly DetectionImputation | —Unverified | 0 | 0 |
| PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting | Feb 27, 2025 | Multivariate Time Series ForecastingPosition | —Unverified | 0 | 0 |
| Learning Differential Operators for Interpretable Time Series Modeling | Sep 3, 2022 | Decision MakingMeta-Learning | —Unverified | 0 | 0 |
| Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings | Jun 16, 2022 | ImputationMissing Values | —Unverified | 0 | 0 |
| Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders | Oct 23, 2018 | AstronomyDynamic Time Warping | —Unverified | 0 | 0 |
| Phase autoencoder for limit-cycle oscillators | Feb 28, 2024 | SensitivityTime Series | —Unverified | 0 | 0 |
| Phase-driven Domain Generalizable Learning for Nonstationary Time Series | Feb 5, 2024 | Activity RecognitionGesture Recognition | —Unverified | 0 | 0 |
| AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning | Mar 26, 2022 | Neural Architecture SearchTime Series | —Unverified | 0 | 0 |
| Advancing Financial Forecasting: A Comparative Analysis of Neural Forecasting Models N-HiTS and N-BEATS | Aug 31, 2024 | Decision MakingTime Series | —Unverified | 0 | 0 |
| A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series | Dec 27, 2017 | FormPrediction Intervals | —Unverified | 0 | 0 |
| Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease | Nov 17, 2020 | ClusteringTime Series | —Unverified | 0 | 0 |
| Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks | Oct 26, 2015 | General ClassificationTime Series | —Unverified | 0 | 0 |
| Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology | Apr 27, 2021 | Clusteringregression | —Unverified | 0 | 0 |
| Deep Multimodal Representation Learning from Temporal Data | Apr 11, 2017 | Audio-Visual Speech RecognitionRepresentation Learning | —Unverified | 0 | 0 |
| Learning DAGs and Root Causes from Time-Series Data | Jan 6, 2025 | Time Series | —Unverified | 0 | 0 |
| Learning Correlation Space for Time Series | Feb 10, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers | Mar 2, 2021 | Activity RecognitionFeature Engineering | —Unverified | 0 | 0 |
| Deep Multimodal Learning: An Effective Method for Video Classification | Nov 30, 2018 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Learning convolution filters for inverse covariance estimation of neural network connectivity | Dec 1, 2014 | CPUTime Series | —Unverified | 0 | 0 |
| Learning Continuous-Time Dynamics by Stochastic Differential Networks | Jun 11, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data | Oct 1, 2024 | Earth ObservationSegmentation | —Unverified | 0 | 0 |
| Learning conditional independence structure for high-dimensional uncorrelated vector processes | Sep 13, 2016 | Model SelectionTime Series | —Unverified | 0 | 0 |
| Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting | Sep 23, 2022 | Graph Neural NetworkProduction Forecasting | —Unverified | 0 | 0 |
| Deep MR Fingerprinting with total-variation and low-rank subspace priors | Feb 26, 2019 | Magnetic Resonance Fingerprintingparameter estimation | —Unverified | 0 | 0 |
| Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series | Mar 26, 2025 | Time SeriesUncertainty Quantification | —Unverified | 0 | 0 |
| Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning | Jun 14, 2022 | CPUGPU | —Unverified | 0 | 0 |
| Physics-inspired machine learning for power grid frequency modelling | Nov 2, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs | Feb 11, 2025 | Missing ValuesMultivariate Time Series Forecasting | —Unverified | 0 | 0 |
| PhysioZoo: The Open Digital Physiological Biomarkers Resource | Sep 7, 2023 | Data VisualizationHeart Rate Variability | —Unverified | 0 | 0 |
| An Efficient Transport-Based Dissimilarity Measure for Time Series Classification under Warping Distortions | May 8, 2025 | ClassificationDynamic Time Warping | —Unverified | 0 | 0 |
| Learning Compositional Transferability of Time Series for Source-Free Domain Adaptation | Apr 21, 2025 | Domain AdaptationSource-Free Domain Adaptation | —Unverified | 0 | 0 |