| Frequency-Domain Stochastic Modeling of Stationary Bivariate or Complex-Valued Signals | Jun 25, 2013 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Applying Regression Conformal Prediction with Nearest Neighbors to time series data | Oct 25, 2021 | Conformal PredictionPrediction | —Unverified | 0 | 0 |
| Fairness in Forecasting and Learning Linear Dynamical Systems | Jun 12, 2020 | FairnessTime Series | —Unverified | 0 | 0 |
| Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift | May 23, 2024 | FairnessTime Series | —Unverified | 0 | 0 |
| FR-Mamba: Time-Series Physical Field Reconstruction Based on State Space Model | May 21, 2025 | MambaTime Series | —Unverified | 0 | 0 |
| From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers | Sep 18, 2018 | General Classificationimage-classification | —Unverified | 0 | 0 |
| Application of Machine Learning to accidents detection at directional drilling | Jun 6, 2019 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Failure Analysis on Multivariate Time-series Data given Uncertain Labels | Jul 20, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning | Sep 6, 2018 | AstronomyBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality | Jan 12, 2021 | Dimensionality Reductionfeature selection | —Unverified | 0 | 0 |
| Applying Quantum Autoencoders for Time Series Anomaly Detection | Oct 5, 2024 | Anomaly DetectionFraud Detection | —Unverified | 0 | 0 |
| From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? | May 29, 2025 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports | Apr 23, 2023 | Time Series | —Unverified | 0 | 0 |
| Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction | May 8, 2022 | Graph Neural NetworkPrediction | —Unverified | 0 | 0 |
| Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification | Oct 11, 2019 | Binary ClassificationGeneral Classification | —Unverified | 0 | 0 |
| FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting | Jun 24, 2025 | Meta-LearningTime Series | —Unverified | 0 | 0 |
| Fading of collective attention shapes the evolution of linguistic variants | Nov 20, 2018 | FormTime Series | —Unverified | 0 | 0 |
| From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption | Nov 21, 2024 | DiversityTime Series | —Unverified | 0 | 0 |
| Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease | Oct 11, 2019 | Evolutionary AlgorithmsFunctional Connectivity | —Unverified | 0 | 0 |
| Factor Network Autoregressions | Aug 4, 2022 | Dimensionality ReductionTime Series | —Unverified | 0 | 0 |
| From sleep medicine to medicine during sleep: A clinical perspective | Feb 9, 2021 | ManagementTime Series | —Unverified | 0 | 0 |
| From Static to Dynamic Node Embeddings | Sep 21, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders | Jun 1, 2023 | Causal DiscoveryTime Series | —Unverified | 0 | 0 |
| From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering | Oct 2, 2020 | ClusteringTime Series | —Unverified | 0 | 0 |
| Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series | May 30, 2019 | State Space ModelsTime Series | —Unverified | 0 | 0 |
| From time-series transcriptomics to gene regulatory networks: a review on inference methods | Oct 16, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks | Nov 17, 2017 | General ClassificationImputation | —Unverified | 0 | 0 |
| Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning | Apr 20, 2023 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 | 0 |
| Applying Nature-Inspired Optimization Algorithms for Selecting Important Timestamps to Reduce Time Series Dimensionality | Dec 9, 2018 | ClusteringTime Series | —Unverified | 0 | 0 |
| Factor-augmented sparse MIDAS regressions with an application to nowcasting | Jun 23, 2023 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection | Jan 10, 2025 | Anomaly DetectionLanguage Modeling | —Unverified | 0 | 0 |
| AI-Powered Predictions for Electricity Load in Prosumer Communities | Feb 21, 2024 | Load Forecastingregression | —Unverified | 0 | 0 |
| Facial Expression Classification Using Rotation Slepian-based Moment Invariants | Jun 28, 2016 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| EZClone: Improving DNN Model Extraction Attack via Shape Distillation from GPU Execution Profiles | Apr 6, 2023 | GPUModel extraction | —Unverified | 0 | 0 |
| Classification of High-dimensional Time Series in Spectral Domain using Explainable Features | Aug 15, 2024 | EEGfeature selection | —Unverified | 0 | 0 |
| Fully Automated Correlated Time Series Forecasting in Minutes | Nov 6, 2024 | Correlated Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs | Oct 8, 2024 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification | Oct 2, 2020 | Dimensionality ReductionGeneral Classification | —Unverified | 0 | 0 |
| A new hazard event classification model via deep learning and multifractal | Sep 12, 2022 | ClassificationDeep Learning | —Unverified | 0 | 0 |
| Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data | Dec 15, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Extreme-Long-short Term Memory for Time-series Prediction | Oct 15, 2022 | EEGElectroencephalogram (EEG) | —Unverified | 0 | 0 |
| EXTRACT: Strong Examples from Weakly-Labeled Sensor Data | Sep 29, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network | Aug 6, 2019 | Deep AttentionEEG | —Unverified | 0 | 0 |
| Functional Annotation of Human Cognitive States using Graph Convolution Networks | Sep 11, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Functional Bayesian Filter | Nov 24, 2019 | State EstimationTime Series | —Unverified | 0 | 0 |
| Functional Classwise Principal Component Analysis: A Novel Classification Framework | Jun 26, 2021 | ClassificationTime Series | —Unverified | 0 | 0 |
| Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation | Aug 23, 2024 | SchedulingTime Series | —Unverified | 0 | 0 |
| Classification of chaotic time series with deep learning | Jul 26, 2019 | ClassificationDeep Learning | —Unverified | 0 | 0 |
| Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction | Aug 19, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification | Apr 14, 2025 | Contrastive LearningFew-Shot Learning | —Unverified | 0 | 0 |