| DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy | May 20, 2018 | Bayesian InferenceDeep Learning | CodeCode Available | 0 | 5 |
| Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning | Jan 4, 2020 | Deep LearningTime Series | CodeCode Available | 0 | 5 |
| Exponentially Weighted Moving Models | Apr 11, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Data Augmentation for Generating Synthetic Electrogastrogram Time Series | Mar 4, 2023 | Data AugmentationDiversity | CodeCode Available | 0 | 5 |
| Exploring Interpretable LSTM Neural Networks over Multi-Variable Data | May 28, 2019 | PredictionTime Series | CodeCode Available | 0 | 5 |
| mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale | Jun 26, 2025 | Anomaly DetectionBenchmarking | 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 |
| Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification | Nov 22, 2024 | ClassificationComputational Efficiency | 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 |
| Multicriteria decision support employing adaptive prediction in a tensor-based feature representation | Jan 12, 2024 | Decision MakingPrediction | CodeCode Available | 0 | 5 |
| Explanation Space: A New Perspective into Time Series Interpretability | Sep 2, 2024 | Time Series | 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 |
| Explaining Deep Classification of Time-Series Data with Learned Prototypes | Apr 18, 2019 | ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition | Jul 10, 2022 | Activity RecognitionContrastive 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 |
| Explainable time series tweaking via irreversible and reversible temporal transformations | Sep 13, 2018 | General ClassificationTime Series | CodeCode Available | 0 | 5 |
| Explaining a machine learning decision to physicians via counterfactuals | Jun 10, 2023 | Time Series | CodeCode Available | 0 | 5 |
| FreqRISE: Explaining time series using frequency masking | Jun 19, 2024 | Decision MakingExplainable artificial intelligence | CodeCode Available | 0 | 5 |
| Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting | May 8, 2023 | DecoderTime 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 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 |
| Data-driven detrending of nonstationary fractal time series with echo state networks | Oct 24, 2015 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction | Nov 26, 2020 | PredictionTime Series | CodeCode Available | 0 | 5 |
| Data-Driven Copy-Paste Imputation for Energy Time Series | Jan 5, 2021 | Fault DetectionImputation | CodeCode Available | 0 | 5 |
| Experimental study of time series forecasting methods for groundwater level prediction | Sep 28, 2022 | ManagementTime 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 |
| 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 |
| A toolkit for data-driven discovery of governing equations in high-noise regimes | Nov 8, 2021 | Equation DiscoveryModel Discovery | 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 |
| Complete Inference of Causal Relations between Dynamical Systems | Aug 31, 2018 | EEGTime Series | CodeCode Available | 0 | 5 |
| Data Consistency Approach to Model Validation | Aug 17, 2018 | modelTime Series | CodeCode Available | 0 | 5 |
| A Deep Learning Approach to Probabilistic Forecasting of Weather | Mar 23, 2022 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 0 | 5 |
| Evolving-Graph Gaussian Processes | Jun 29, 2021 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks | Jul 6, 2020 | Graph Neural NetworkTime Series | 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 |
| Data augmentation using synthetic data for time series classification with deep residual networks | Aug 7, 2018 | Data AugmentationDynamic Time Warping | CodeCode Available | 0 | 5 |
| Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks | Jan 12, 2022 | Data AugmentationTime Series | CodeCode Available | 0 | 5 |
| Event-Based Contrastive Learning for Medical Time Series | Dec 16, 2023 | Contrastive LearningDecision Making | 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 |
| EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data | Jul 6, 2021 | Change Point DetectionData Augmentation | CodeCode Available | 0 | 5 |
| Event Detection via Probability Density Function Regression | Aug 23, 2024 | Event Detectionregression | CodeCode Available | 0 | 5 |
| Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights | Feb 27, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting | Apr 29, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments | Jun 15, 2022 | Decision MakingTime Series | CodeCode Available | 0 | 5 |
| Evaluating time series forecasting models: An empirical study on performance estimation methods | May 28, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Dropout Feature Ranking for Deep Learning Models | Dec 22, 2017 | Deep LearningTime Series | 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 |
| Multivariate Time Series Classification using Dilated Convolutional Neural Network | May 5, 2019 | Activity RecognitionClassification | CodeCode Available | 0 | 5 |
| Extracting Interpretable Local and Global Representations from Attention on Time Series | Sep 16, 2023 | Time Series | CodeCode Available | 0 | 5 |
| Evaluating deep learning methods applied to Landsat time series subsequences to detect and classify boreal forest disturbances events: The challenge of partial and progressive disturbances | May 25, 2024 | Deep LearningTime Series | CodeCode Available | 0 | 5 |