| Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices | Oct 5, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Autoencoder-based time series clustering with energy applications | Feb 10, 2020 | ClusteringTime Series | —Unverified | 0 | 0 |
| A Dictionary-based approach to Time Series Ordinal Classification | May 16, 2023 | ClassificationOrdinal Classification | —Unverified | 0 | 0 |
| Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition | Sep 26, 2023 | Activity RecognitionContrastive Learning | —Unverified | 0 | 0 |
| Investigating Compositional Reasoning in Time Series Foundation Models | Feb 9, 2025 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors | May 1, 2017 | Dimensionality ReductionModel Selection | —Unverified | 0 | 0 |
| Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release | Nov 20, 2020 | Privacy PreservingTime Series | —Unverified | 0 | 0 |
| Long Short-Term Memory Neural Networks for False Information Attack Detection in Software-Defined In-Vehicle Network | Jun 24, 2019 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Sequential visibility-graph motifs | Dec 1, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Invariants of multidimensional time series based on their iterated-integral signature | Jan 18, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Invariant Factorization Of Time-Series | Dec 23, 2013 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems | Nov 8, 2019 | Adversarial AttackIntrusion Detection | —Unverified | 0 | 0 |
| Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data | Jan 18, 2024 | Time Series | —Unverified | 0 | 0 |
| AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version | Dec 21, 2021 | Correlated Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| Series-to-Series Diffusion Bridge Model | Nov 7, 2024 | modelTime Series | —Unverified | 0 | 0 |
| Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning | Jan 10, 2025 | Time Series | —Unverified | 0 | 0 |
| Market-Based Price Autocorrelation | Feb 15, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Introduction of L0 norm and application of L1 and C1 norm in the study of time-series | Dec 30, 2023 | Time SeriesTopological Data Analysis | —Unverified | 0 | 0 |
| Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks | Oct 17, 2018 | regressionTime Series | —Unverified | 0 | 0 |
| Deep Decomposition for Stochastic Normal-Abnormal Transport | Nov 29, 2021 | Optical Flow EstimationTime Series | —Unverified | 0 | 0 |
| AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models | Feb 25, 2025 | MarketingMisinformation | —Unverified | 0 | 0 |
| SFFDD: Deep Neural Network with Enriched Features for Failure Prediction with Its Application to Computer Disk Driver | Sep 20, 2021 | Feature EngineeringTime Series | —Unverified | 0 | 0 |
| SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Prediction | Apr 18, 2024 | Time Series | —Unverified | 0 | 0 |
| Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting | Jan 6, 2022 | Load ForecastingTime Series | —Unverified | 0 | 0 |
| Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization | Jul 25, 2023 | Time Series | —Unverified | 0 | 0 |