| DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems | Nov 9, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Causal Discovery from Subsampled Time Series Data by Constraint Optimization | Feb 25, 2016 | Causal DiscoveryTime Series | —Unverified | 0 |
| Causal Discovery from Sparse Time-Series Data Using Echo State Network | Jan 9, 2022 | Causal Discoveryregression | —Unverified | 0 |
| A Novel Framework for Handling Sparse Data in Traffic Forecast | Jan 12, 2023 | DecoderTime Series | —Unverified | 0 |
| Causal Discovery from Conditionally Stationary Time Series | Oct 12, 2021 | Causal DiscoveryCausal Inference | —Unverified | 0 |
| A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News | Jul 23, 2020 | Deep LearningPhilosophy | —Unverified | 0 |
| AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration | Apr 28, 2024 | ClassificationTime Series | —Unverified | 0 |
| Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces | Apr 15, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Novel Distributed PV Power Forecasting Approach Based on Time-LLM | Mar 8, 2025 | Large Language ModelScheduling | —Unverified | 0 |
| Causal Discovery-Driven Change Point Detection in Time Series | Jul 10, 2024 | Causal DiscoveryChange Point Detection | —Unverified | 0 |
| A cautious user's guide in applying HMMs to physical systems | Jun 6, 2025 | Time Series | —Unverified | 0 |
| Phase-randomised Fourier transform model for the generation of synthetic wind speeds | Mar 13, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models | May 26, 2019 | Bayesian InferenceCausal Discovery | —Unverified | 0 |
| A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data | Aug 25, 2023 | Anomaly DetectionTime Series | —Unverified | 0 |
| Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network | May 16, 2025 | Anomaly DetectionDecoder | —Unverified | 0 |
| Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction | Aug 15, 2018 | ImputationMissing Values | —Unverified | 0 |
| Causal Digital Twin from Multi-channel IoT | Jun 3, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Causal Consistency of Structural Equation Models | Jul 4, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks | Dec 6, 2022 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Causal Compression | Nov 1, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments | Jul 2, 2021 | Deep Reinforcement LearningPrediction | —Unverified | 0 |
| A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields | May 11, 2023 | Autonomous DrivingOpen-Ended Question Answering | —Unverified | 0 |
| Causal-based Time Series Domain Generalization for Vehicle Intention Prediction | Dec 3, 2021 | Autonomous VehiclesDomain Generalization | —Unverified | 0 |
| A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis | Dec 3, 2021 | DiagnosticFault Diagnosis | —Unverified | 0 |
| Causal Analysis of Generic Time Series Data Applied for Market Prediction | Apr 22, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |