| Attending to Emotional Narratives | Jul 8, 2019 | Emotion RecognitionTime Series | CodeCode Available | 0 | 5 |
| Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention | May 5, 2023 | Deep LearningTime Series | CodeCode Available | 0 | 5 |
| Extracting Interpretable Local and Global Representations from Attention on Time Series | Sep 16, 2023 | Time Series | CodeCode Available | 0 | 5 |
| Factor-Driven Two-Regime Regression | Sep 10, 2020 | regressionTime Series | CodeCode Available | 0 | 5 |
| Data-Efficient Sleep Staging with Synthetic Time Series Pretraining | Mar 13, 2024 | Brain DecodingEEG | CodeCode Available | 0 | 5 |
| Discovering Synchronized Subsets of Sequences: A Large Scale Solution | Jun 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Beyond Sparsity: Tree Regularization of Deep Models for Interpretability | Nov 16, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series | Mar 7, 2024 | Anomaly DetectionDimensionality Reduction | CodeCode Available | 0 | 5 |
| Attaining entropy production and dissipation maps from Brownian movies via neural networks | Jun 29, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III | Jul 19, 2019 | BIG-bench Machine LearningLength-of-Stay prediction | CodeCode Available | 0 | 5 |
| Exponentially Weighted Moving Models | Apr 11, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Fairness in Forecasting of Observations of Linear Dynamical Systems | Sep 12, 2022 | FairnessTime Series | CodeCode Available | 0 | 5 |
| Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification | Nov 22, 2024 | ClassificationComputational Efficiency | CodeCode Available | 0 | 5 |
| Exploring Challenges in Deep Learning of Single-Station Ground Motion Records | Mar 12, 2024 | Deep LearningStructural Health Monitoring | CodeCode Available | 0 | 5 |
| Explanation Space: A New Perspective into Time Series Interpretability | Sep 2, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Exploring Interpretable LSTM Neural Networks over Multi-Variable Data | May 28, 2019 | PredictionTime Series | CodeCode Available | 0 | 5 |
| FreqRISE: Explaining time series using frequency masking | Jun 19, 2024 | Decision MakingExplainable artificial intelligence | CodeCode Available | 0 | 5 |
| A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities | Nov 18, 2022 | Computational EfficiencyHumanitarian | CodeCode Available | 0 | 5 |
| Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration | Nov 20, 2023 | Explainable artificial intelligenceTime Series | CodeCode Available | 0 | 5 |
| MIXAD: Memory-Induced Explainable Time Series Anomaly Detection | Oct 30, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| Patch Learning | Jun 1, 2019 | BIG-bench Machine LearningEnsemble Learning | CodeCode Available | 0 | 5 |
| Explaining deep learning models for ozone pollution prediction via embedded feature selection | Mar 21, 2024 | feature selectionTime Series | CodeCode Available | 0 | 5 |
| GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection | Jan 30, 2025 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series | Apr 15, 2024 | Anomaly DetectionCausal Discovery | CodeCode Available | 0 | 5 |
| Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting | May 8, 2023 | DecoderTime Series | CodeCode Available | 0 | 5 |
| Data Augmentation for Generating Synthetic Electrogastrogram Time Series | Mar 4, 2023 | Data AugmentationDiversity | CodeCode Available | 0 | 5 |
| Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data | Nov 1, 2024 | graph constructionTime Series | CodeCode Available | 0 | 5 |
| Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models | Apr 4, 2025 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Experimental study of time series forecasting methods for groundwater level prediction | Sep 28, 2022 | ManagementTime Series | CodeCode Available | 0 | 5 |
| EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction | Nov 18, 2024 | Contrastive LearningPrediction | CodeCode Available | 0 | 5 |
| Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning | Jan 31, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 0 | 5 |
| A deep learning architecture to detect events in EEG signals during sleep | Jul 11, 2018 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 | 5 |
| Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data | Jul 7, 2023 | Knowledge DistillationModel Compression | CodeCode Available | 0 | 5 |
| An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery | Nov 22, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm | Feb 11, 2025 | Time Series | CodeCode Available | 0 | 5 |
| Distributed and parallel time series feature extraction for industrial big data applications | Oct 25, 2016 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow | Nov 8, 2018 | Cardiac SegmentationGeneral Classification | CodeCode Available | 0 | 5 |
| Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction | Nov 26, 2020 | PredictionTime Series | CodeCode Available | 0 | 5 |
| Evolving-Graph Gaussian Processes | Jun 29, 2021 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Event Detection via Probability Density Function Regression | Aug 23, 2024 | Event Detectionregression | CodeCode Available | 0 | 5 |
| Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection | May 20, 2021 | Anomaly DetectionClustering | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models | Jan 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Modeling the Dynamics of Growth in Master-Planned Communities | Aug 26, 2024 | NavigateTime Series | CodeCode Available | 0 | 5 |
| Event-Based Contrastive Learning for Medical Time Series | Dec 16, 2023 | Contrastive LearningDecision Making | CodeCode Available | 0 | 5 |
| Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting | Apr 1, 2022 | Decision MakingEpidemiology | CodeCode Available | 0 | 5 |
| Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs | Feb 25, 2022 | SchedulingTime Series | CodeCode Available | 0 | 5 |
| Dive into Time-Series Anomaly Detection: A Decade Review | Dec 29, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| Complete Inference of Causal Relations between Dynamical Systems | Aug 31, 2018 | EEGTime Series | CodeCode Available | 0 | 5 |
| Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation | Dec 27, 2024 | Time Series | CodeCode Available | 0 | 5 |