| Factor-Driven Two-Regime Regression | Sep 10, 2020 | regressionTime Series | CodeCode Available | 0 | 5 |
| Fairness in Forecasting of Observations of Linear Dynamical Systems | Sep 12, 2022 | FairnessTime Series | CodeCode Available | 0 | 5 |
| An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls | Dec 25, 2017 | Causal InferenceConformal Prediction | CodeCode Available | 0 | 5 |
| LLM-Powered CPI Prediction Inference with Online Text Time Series | Jun 11, 2025 | Prediction IntervalsTime Series | CodeCode Available | 0 | 5 |
| Benchmarking optimality of time series classification methods in distinguishing diffusions | Jan 30, 2023 | BenchmarkingGaussian Processes | CodeCode Available | 0 | 5 |
| LLT: An R package for Linear Law-based Feature Space Transformation | Apr 27, 2023 | Time Series | CodeCode Available | 0 | 5 |
| False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates | Jun 28, 2021 | Depth EstimationInstance Segmentation | CodeCode Available | 0 | 5 |
| Extracting Relationships by Multi-Domain Matching | Dec 1, 2018 | Domain AdaptationTime Series | CodeCode Available | 0 | 5 |
| Attention-Enhanced Reservoir Computing | Dec 27, 2023 | PredictionTemporal Sequences | CodeCode Available | 0 | 5 |
| A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization | Jun 23, 2020 | Time SeriesTime Series Analysis | 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-augmented tree ensembles | Nov 27, 2021 | Ensemble Learningregression | CodeCode Available | 0 | 5 |
| FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation | Apr 10, 2023 | Click-Through Rate PredictionTime Series | CodeCode Available | 0 | 5 |
| Fast Online Deconvolution of Calcium Imaging Data | Mar 16, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Exploring Interpretable LSTM Neural Networks over Multi-Variable Data | May 28, 2019 | PredictionTime Series | 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 |
| Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series | Mar 7, 2024 | Anomaly DetectionDimensionality Reduction | CodeCode Available | 0 | 5 |
| Dataset: Rare Event Classification in Multivariate Time Series | Sep 27, 2018 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Attention-Based Ensemble Pooling for Time Series Forecasting | Oct 24, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Explanation Space: A New Perspective into Time Series Interpretability | Sep 2, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Exponentially Weighted Moving Models | Apr 11, 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 learning models for ozone pollution prediction via embedded feature selection | Mar 21, 2024 | feature selectionTime Series | CodeCode Available | 0 | 5 |
| Data Matters: The Case of Predicting Mobile Cellular Traffic | Oct 21, 2024 | PredictionTime Series | CodeCode Available | 0 | 5 |
