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| Approximate Bayes factors for unit root testing | Feb 19, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks | May 3, 2024 | Time Series | —Unverified | 0 | 0 |
| A Joint Data Compression and Time-Delay Estimation Method For Distributed Systems via Extremum Encoding | Apr 14, 2024 | Data CompressionTime Series | —Unverified | 0 | 0 |
| Forecasting financial markets with semantic network analysis in the COVID-19 crisis | Sep 9, 2020 | PositionTime Series | —Unverified | 0 | 0 |
| Fold Bifurcation Identification through Scientific Machine Learning | Dec 21, 2023 | Time Series | —Unverified | 0 | 0 |
| Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates | Jun 29, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Fast Classification of Large Time Series Datasets | Dec 10, 2023 | ClassificationTime Series | —Unverified | 0 | 0 |
| Forecasting Framework for Open Access Time Series in Energy | Jun 2, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families | Apr 14, 2025 | DecoderLanguage Modeling | —Unverified | 0 | 0 |
| Forecasting Granular Audience Size for Online Advertising | Jan 8, 2019 | AttributeTime Series | —Unverified | 0 | 0 |
| Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series | Dec 2, 2020 | feature selectionTime Series | —Unverified | 0 | 0 |
| Forecasting high-dimensional dynamics exploiting suboptimal embeddings | Jul 2, 2019 | Combinatorial OptimizationDiversity | —Unverified | 0 | 0 |
| Forecasting high-frequency financial time series: an adaptive learning approach with the order book data | Feb 27, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Forecasting inflation using disaggregates and machine learning | Aug 22, 2023 | Time Series | —Unverified | 0 | 0 |
| Forecasting in multivariate irregularly sampled time series with missing values | Apr 6, 2020 | General ClassificationIrregular Time Series | —Unverified | 0 | 0 |
| Fast and Simple Optimization for Poisson Likelihood Models | Aug 3, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Forecasting insect abundance using time series embedding and machine learning | Dec 22, 2023 | Time Series | —Unverified | 0 | 0 |
| Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood | Feb 26, 2025 | Gaussian ProcessesTime Series | —Unverified | 0 | 0 |
| Classifying Pattern and Feature Properties to Get a Θ(n) Checker and Reformulation for Sliding Time-Series Constraints | Dec 3, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Forecasting large collections of time series: feature-based methods | Sep 25, 2023 | Model SelectionTime Series | —Unverified | 0 | 0 |
| RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting | Oct 31, 2024 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model | Sep 27, 2024 | Bayesian InferenceTime Series | —Unverified | 0 | 0 |
| Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics | Oct 24, 2017 | blind source separationDictionary Learning | —Unverified | 0 | 0 |
| Classifying Image Sequences of Astronomical Transients with Deep Neural Networks | Apr 28, 2020 | ClassificationGeneral Classification | —Unverified | 0 | 0 |