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| A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine | Sep 18, 2018 | Feature Engineeringfeature selection | —Unverified | 0 | 0 |
| Activity recognition using ST-GCN with 3D motion data | Sep 13, 2019 | Activity RecognitionMultimodal Activity Recognition | —Unverified | 0 | 0 |
| A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers | Jan 21, 2025 | parameter estimationTime Series | —Unverified | 0 | 0 |
| Embarrassingly Simple MixUp for Time-series | Apr 9, 2023 | Data AugmentationTime Series | —Unverified | 0 | 0 |
| Elucidation of time-dependent systems biology cell response patterns with time course network enrichment | Oct 27, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting | Oct 4, 2024 | Probabilistic Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data | Apr 8, 2021 | Deep LearningICU Mortality | —Unverified | 0 | 0 |
| A Novel Algorithm for the Maximal Fit Problem in Boolean Networks | Jun 20, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Eliciting Disease Data from Wikipedia Articles | Apr 2, 2015 | ArticlesTAG | —Unverified | 0 | 0 |
| Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine | Apr 11, 2023 | Demand Forecastingregression | —Unverified | 0 | 0 |
| Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction | Mar 6, 2024 | Load ForecastingTime Series | —Unverified | 0 | 0 |
| Forecasting Cardiology Admissions from Catheterization Laboratory | Dec 28, 2018 | ManagementTime Series | —Unverified | 0 | 0 |
| An Ordinal Pattern Approach to Detect and to Model Leverage Effects and Dependence Structures Between Financial Time Series | Jan 29, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Capturing Temporal Components for Time Series Classification | Jun 20, 2024 | ClassificationRepresentation Learning | —Unverified | 0 | 0 |
| An Ordered Lasso and Sparse Time-Lagged Regression | May 26, 2014 | regressionTime Series | —Unverified | 0 | 0 |
| EigenNetworks | Jun 5, 2018 | DescriptiveTime Series | —Unverified | 0 | 0 |
| Ego-Network Transformer for Subsequence Classification in Time Series Data | Nov 5, 2023 | Time SeriesTime Series Classification | —Unverified | 0 | 0 |
| EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection | Oct 30, 2024 | Continual LearningHallucination | —Unverified | 0 | 0 |
| Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory | Apr 20, 2024 | Feature ImportanceTime Series | —Unverified | 0 | 0 |
| An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks | Nov 26, 2019 | Decision MakingGPU | —Unverified | 0 | 0 |
| CASU2Net: Cascaded Unification Network by a Two-step Early Fusion for Fault Detection in Offshore Wind Turbines | Nov 24, 2020 | Fault DetectionTime Series | —Unverified | 0 | 0 |
| Efficient Time Series Processing for Transformers and State-Space Models through Token Merging | May 28, 2024 | State Space ModelsTime Series | —Unverified | 0 | 0 |
| Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation | Feb 27, 2025 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| Efficient structure learning with automatic sparsity selection for causal graph processes | Jun 11, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |