| Adaptive time series forecasting with markovian variance switching | Feb 22, 2024 | Learning TheoryLoad Forecasting | —Unverified | 0 |
| A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm | Apr 12, 2022 | Brain Computer InterfaceDecoder | —Unverified | 0 |
| A self-organising eigenspace map for time series clustering | May 14, 2019 | ClusteringTime Series | —Unverified | 0 |
| A Mamba Foundation Model for Time Series Forecasting | Nov 5, 2024 | Mambamodel | —Unverified | 0 |
| Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports | Nov 27, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series | Apr 30, 2025 | Causal DiscoveryTime Series | —Unverified | 0 |
| AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection | Apr 9, 2025 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| A Scrambled Method of Moments | Nov 20, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution | Oct 5, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Cellular Automaton Model for the generation of Brainwaves | Mar 28, 2022 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| A Machine Learning Smartphone-based Sensing for Driver Behavior Classification | Feb 1, 2022 | Autonomous DrivingBIG-bench Machine Learning | —Unverified | 0 |
| 5G Traffic Prediction with Time Series Analysis | Oct 7, 2021 | ClassificationPrediction | —Unverified | 0 |
| Conditional Generative Models for Counterfactual Explanations | Jan 25, 2021 | counterfactualTime Series | —Unverified | 0 |
| A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting | Feb 29, 2024 | Demand ForecastingTime Series | —Unverified | 0 |
| ASAT: Adaptively Scaled Adversarial Training in Time Series | Aug 20, 2021 | Adversarial RobustnessTime Series | —Unverified | 0 |
| A machine learning search for optimal GARCH parameters | Jan 10, 2022 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Artificial neural networks and time series of counts: A class of nonlinear INGARCH models | Apr 3, 2023 | Time Series | —Unverified | 0 |
| Artificial neural network as a universal model of nonlinear dynamical systems | Mar 6, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting | Feb 12, 2025 | Event DetectionTime Series | —Unverified | 0 |
| Adaptive Student's t-distribution with method of moments moving estimator for nonstationary time series | Apr 6, 2023 | PhilosophyTime Series | —Unverified | 0 |
| Conditional heteroskedasticity in crypto-asset returns | Dec 24, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Conditional Information Bottleneck Approach for Time Series Imputation | Jan 16, 2024 | ImputationTime Series | —Unverified | 0 |
| Conditional Loss and Deep Euler Scheme for Time Series Generation | Feb 10, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction | Oct 1, 2024 | Time SeriesTime Series Prediction | —Unverified | 0 |
| A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics | Nov 29, 2018 | Anomaly DetectionBIG-bench Machine Learning | —Unverified | 0 |
| 4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients | May 12, 2025 | ClusteringTime Series | —Unverified | 0 |
| Kernel Hypothesis Testing with Set-valued Data | Jul 9, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Robust Score-Driven Filter for Multivariate Time Series | Sep 3, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Adaptive State-Space Mamba for Real-Time Sensor Data Anomaly Detection | Mar 26, 2025 | Anomaly DetectionMamba | —Unverified | 0 |
| Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis | Aug 2, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Individual Shrinkage for Random Effects | Aug 3, 2023 | Time Series | —Unverified | 0 |
| A robust deep learning-based damage identification approach for SHM considering missing data | Mar 31, 2023 | ImputationStructural Health Monitoring | —Unverified | 0 |
| A Machine Learning-based Algorithm for Automated Detection of Frequency-based Events in Recorded Time Series of Sensor Data | Oct 16, 2023 | Event Detectionobject-detection | —Unverified | 0 |
| A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow | Jan 6, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics | Sep 23, 2022 | Anomaly DetectionTime Series | —Unverified | 0 |
| A machine learning approach to itinerary-level booking prediction in competitive airline markets | Mar 15, 2021 | BIG-bench Machine LearningDemand Forecasting | —Unverified | 0 |
| Adaptive stable distribution and Hurst exponent by method of moments moving estimator for nonstationary time series | May 20, 2025 | Time Series | —Unverified | 0 |
| Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation | Oct 4, 2018 | Drift DetectionTime Series | —Unverified | 0 |
| A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition | Sep 18, 2021 | Anomaly DetectionTime Series | —Unverified | 0 |
| ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram | Aug 22, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A machine learning approach for forecasting hierarchical time series | May 31, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning | Oct 14, 2023 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| A Machine Learning Approach For Bitcoin Forecasting | Apr 25, 2025 | Time Series | —Unverified | 0 |
| Accurate shape and phase averaging of time series through Dynamic Time Warping | Sep 2, 2021 | Dynamic Time WarpingTime Series | —Unverified | 0 |
| Arm order recognition in multi-armed bandit problem with laser chaos time series | May 26, 2020 | Irregular Time SeriesTime Series | —Unverified | 0 |
| ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting | Mar 10, 2018 | Demand ForecastingTime Series | —Unverified | 0 |
| Alternators With Noise Models | May 18, 2025 | Density EstimationImputation | —Unverified | 0 |
| ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions | Nov 8, 2021 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Alternating direction method of multipliers for penalized zero-variance discriminant analysis | Jan 21, 2014 | feature selectionGeneral Classification | —Unverified | 0 |
| Adaptive Sequential Design for a Single Time-Series | Jan 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |