| Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting | Jul 24, 2017 | Deep LearningSpatio-Temporal Forecasting | CodeCode Available | 0 | 5 |
| Automated data-driven approach for gap filling in the time series using evolutionary learning | Mar 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Deep Temporal Sigmoid Belief Networks for Sequence Modeling | Sep 23, 2015 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| DeepTFP: Mobile Time Series Data Analytics based Traffic Flow Prediction | Oct 1, 2017 | PredictionTime Series | CodeCode Available | 0 | 5 |
| FNetAR: Mixing Tokens with Autoregressive Fourier Transforms | Jul 22, 2021 | Language ModellingTime Series | CodeCode Available | 0 | 5 |
| Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics | Apr 9, 2021 | motion predictionPrediction | CodeCode Available | 0 | 5 |
| Forecasting and Granger Modelling with Non-linear Dynamical Dependencies | Jun 27, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| FLEXtime: Filterbank learning to explain time series | Nov 6, 2024 | EEGTime Series | CodeCode Available | 0 | 5 |
| Coordination Event Detection and Initiator Identification in Time Series Data | Mar 4, 2016 | Decision MakingEvent Detection | CodeCode Available | 0 | 5 |
| AutoFITS: Automatic Feature Engineering for Irregular Time Series | Dec 29, 2021 | Feature EngineeringIrregular Time Series | CodeCode Available | 0 | 5 |
| Fitting stochastic predator-prey models using both population density and kill rate data | Apr 3, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Flipped Classroom: Effective Teaching for Time Series Forecasting | Oct 17, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables | Jul 21, 2020 | regressionTime Series | CodeCode Available | 0 | 5 |
| Fine-grained Forecasting Models Via Gaussian Process Blurring Effect | Dec 21, 2023 | DenoisingImage Generation | CodeCode Available | 0 | 5 |
| Fine-Tuning a Time Series Foundation Model with Wasserstein Loss | Sep 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data | May 24, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems | Apr 6, 2021 | Representation LearningTime Series | CodeCode Available | 0 | 5 |
| Finding Foundation Models for Time Series Classification with a PreText Task | Nov 24, 2023 | Time SeriesTime Series Classification | CodeCode Available | 0 | 5 |
| Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification | Jun 18, 2024 | channel selectionTime Series | CodeCode Available | 0 | 5 |
| Deep Direct Discriminative Decoders for High-dimensional Time-series Data Analysis | May 22, 2022 | DecoderHippocampus | CodeCode Available | 0 | 5 |
| Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information | Nov 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation | Jul 12, 2023 | Decision MakingImage Inpainting | CodeCode Available | 0 | 5 |
| fETSmcs: Feature-based ETS model component selection | Jun 26, 2022 | modelModel Selection | CodeCode Available | 0 | 5 |
| DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions | Jul 31, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Few-shot human motion prediction for heterogeneous sensors | Dec 22, 2022 | Few-Shot LearningHuman motion prediction | CodeCode Available | 0 | 5 |
