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| Differential Machine Learning for Time Series Prediction | Mar 5, 2025 | DecoderPrediction | —Unverified | 0 |
| Efficient pattern-based anomaly detection in a network of multivariate devices | May 7, 2023 | Anomaly DetectionTime Series | —Unverified | 0 |
| Efficient Recurrent Neural Networks using Structured Matrices in FPGAs | Mar 20, 2018 | Model CompressionTime Series | —Unverified | 0 |
| Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement | Oct 3, 2024 | Computational EfficiencyDisentanglement | —Unverified | 0 |
| Efficient structure learning with automatic sparsity selection for causal graph processes | Jun 11, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation | Feb 27, 2025 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Efficient Time Series Processing for Transformers and State-Space Models through Token Merging | May 28, 2024 | State Space ModelsTime Series | —Unverified | 0 |
| Differentially Private Synthetic Control | Mar 24, 2023 | Causal Inferencecounterfactual | —Unverified | 0 |
| Ego-Network Transformer for Subsequence Classification in Time Series Data | Nov 5, 2023 | Time SeriesTime Series Classification | —Unverified | 0 |
| Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory | Apr 20, 2024 | Feature ImportanceTime Series | —Unverified | 0 |
| EigenNetworks | Jun 5, 2018 | DescriptiveTime Series | —Unverified | 0 |
| Benchmarking Multivariate Time Series Classification Algorithms | Jul 26, 2020 | BenchmarkingClassification | —Unverified | 0 |
| A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0 | Aug 5, 2020 | Anomaly DetectionCausal Discovery | —Unverified | 0 |
| Capturing Temporal Components for Time Series Classification | Jun 20, 2024 | ClassificationRepresentation Learning | —Unverified | 0 |
| Evaluation of Missing Data Imputation for Time Series Without Ground Truth | Feb 26, 2025 | ImputationManagement | —Unverified | 0 |
| Differentially Private Publication of Electricity Time Series Data in Smart Grids | Aug 24, 2024 | Time Series | —Unverified | 0 |
| Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine | Apr 11, 2023 | Demand Forecastingregression | —Unverified | 0 |
| Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area | Jul 14, 2023 | BenchmarkingTime Series | —Unverified | 0 |
| Eliciting Disease Data from Wikipedia Articles | Apr 2, 2015 | ArticlesTAG | —Unverified | 0 |
| Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting | Oct 4, 2024 | Probabilistic Time Series ForecastingTime Series | —Unverified | 0 |
| Elucidation of time-dependent systems biology cell response patterns with time course network enrichment | Oct 27, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Independence Testing for Temporal Data | Aug 18, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Embarrassingly Simple MixUp for Time-series | Apr 9, 2023 | Data AugmentationTime Series | —Unverified | 0 |
| Differentially Private K-means Clustering Applied to Meter Data Analysis and Synthesis | Dec 7, 2021 | ClusteringTime Series | —Unverified | 0 |