{"total":25,"rows":[{"id":"2107.02248","title":"A comparison of LSTM and GRU networks for learning symbolic sequences","created":"2021-07-05","cited_by_count":24,"area":null},{"id":"2203.00219","title":"FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers","created":"2022-03-01","cited_by_count":14,"area":null},{"id":"2306.11472","title":"Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting","created":"2023-06-20","cited_by_count":13,"area":null},{"id":"2107.05561","title":"LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms","created":"2021-07-12","cited_by_count":9,"area":null},{"id":"2201.05697","title":"An efficient aggregation method for the symbolic representation of temporal data","created":"2022-01-14","cited_by_count":7,"area":null},{"id":"2206.08406","title":"Predicting Hate Intensity of Twitter Conversation Threads","created":"2022-06-16","cited_by_count":7,"area":null},{"id":"2104.04781","title":"Boosted Embeddings for Time Series Forecasting","created":"2021-04-10","cited_by_count":6,"area":null},{"id":"2106.03701","title":"Synthesis of standard 12-lead electrocardiograms using two dimensional generative adversarial network","created":"2021-06-02","cited_by_count":6,"area":null},{"id":"2210.08347","title":"Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications","created":"2022-10-15","cited_by_count":4,"area":null},{"id":"2411.18506","title":"LLM-ABBA: Understanding time series via symbolic approximation","created":"2024-11-27","cited_by_count":4,"area":null},{"id":"2406.14045","title":"LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting","created":"2024-06-20","cited_by_count":2,"area":null},{"id":"2104.12722","title":"Dominant motion identification of multi-particle system using deep learning from video","created":"2021-04-26","cited_by_count":1,"area":null},{"id":"2309.16882","title":"Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling","created":"2023-09-28","cited_by_count":1,"area":null},{"id":"2504.20058","title":"Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets","created":"2025-04-14","cited_by_count":1,"area":null},{"id":"2602.10911","title":"Tuning the burn-in phase in training recurrent neural networks improves their performance","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2302.04097","title":"ASTRIDE: Adaptive Symbolization for Time Series Databases","created":"2023-02-08","cited_by_count":0,"area":null},{"id":"2306.03052","title":"Forecasting Crude Oil Prices Using Reservoir Computing Models","created":"2023-06-05","cited_by_count":0,"area":null},{"id":"2307.10085","title":"A Decision Making Framework for Recommended Maintenance of Road Segments","created":"2023-07-19","cited_by_count":0,"area":null},{"id":"2311.14731","title":"Deep State-Space Model for Predicting Cryptocurrency Price","created":"2023-11-21","cited_by_count":0,"area":null},{"id":"2403.13836","title":"Tree-based Learning for High-Fidelity Prediction of Chaos","created":"2024-03-12","cited_by_count":0,"area":null},{"id":"2404.10458","title":"Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach","created":"2024-04-16","cited_by_count":0,"area":null},{"id":"2411.15209","title":"QABBA: Symbolic Time-Series Compression via Integer-Quantized Aggregation","created":"2024-11-20","cited_by_count":0,"area":null},{"id":"2503.06278","title":"Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction","created":"2025-03-08","cited_by_count":0,"area":null},{"id":"2511.11630","title":"Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models","created":"2025-11-07","cited_by_count":0,"area":null},{"id":"2601.10961","title":"Multivariate LSTM-Based Forecasting for Renewable Energy: Enhancing Climate Change Mitigation","created":"2026-01-16","cited_by_count":0,"area":null}],"next_cursor":null}