| IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data | May 2, 2025 | parameter estimationTime Series | —Unverified | 0 | 0 |
| Signal Restoration and Channel Estimation for Channel Sounding with SDRs | May 23, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition | Jun 5, 2021 | Meta-LearningTime Series | —Unverified | 0 | 0 |
| Deep COVID-19 Forecasting for Multiple States with Data Augmentation | Feb 2, 2023 | Data AugmentationTime Series | —Unverified | 0 | 0 |
| Intrinsic Anomaly Detection for Multi-Variate Time Series | Jun 29, 2022 | Anomaly DetectionNavigate | —Unverified | 0 | 0 |
| Signatures of brain criticality unveiled by maximum entropy analysis across cortical states | Jan 29, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Signs in time: Encoding human motion as a temporal image | Aug 6, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Exploring the Role of Token in Transformer-based Time Series Forecasting | Apr 16, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| Deep Coupling Network For Multivariate Time Series Forecasting | Feb 23, 2024 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| Sig-Splines: universal approximation and convex calibration of time series generative models | Jul 19, 2023 | Time Series | —Unverified | 0 | 0 |
| Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features? | Jan 12, 2022 | BIG-bench Machine LearningTime Series | —Unverified | 0 | 0 |
| SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation | May 4, 2023 | Emotion RecognitionEmotion Recognition in Conversation | —Unverified | 0 | 0 |
| Intraday trading strategy based on time series and machine learning for Chinese stock market | Mar 24, 2021 | BIG-bench Machine LearningPortfolio Optimization | —Unverified | 0 | 0 |
| Intra-day Activity Better Predicts Chronic Conditions | Dec 4, 2016 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series | Nov 29, 2016 | General ClassificationTime Series | —Unverified | 0 | 0 |
| Interval-Valued Time Series Classification Using D_K-Distance | Apr 7, 2025 | ClassificationEconometrics | —Unverified | 0 | 0 |
| Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework | Jun 15, 2014 | Demand Forecastingregression | —Unverified | 0 | 0 |
| Deep Convolutional Neural Network for Non-rigid Image Registration | Apr 24, 2021 | Image RegistrationTime Series | —Unverified | 0 | 0 |
| Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks | Dec 1, 2010 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Similarity measure for Public Persons | Sep 17, 2018 | ArticlesEntity Extraction using GAN | —Unverified | 0 | 0 |
| Inter-Series Transformer: Attending to Products in Time Series Forecasting | Aug 7, 2024 | Demand ForecastingTime Series | —Unverified | 0 | 0 |
| Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images | May 5, 2020 | Decision MakingGenerative Adversarial Network | —Unverified | 0 | 0 |
| A Unified Method for First and Third Person Action Recognition | Dec 30, 2017 | Action RecognitionGeneral Classification | —Unverified | 0 | 0 |
| Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting | Mar 30, 2025 | AllBenchmarking | —Unverified | 0 | 0 |
| Simple Models and Biased Forecasts | Feb 14, 2022 | State Space ModelsTime Series | —Unverified | 0 | 0 |
| Simplicial persistence of financial markets: filtering, generative processes and portfolio risk | Sep 16, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems | Sep 18, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpreting Outliers in Time Series Data through Decoding Autoencoder | Sep 3, 2024 | Anomaly DetectionExplainable artificial intelligence | —Unverified | 0 | 0 |
| A unified machine learning approach to time series forecasting applied to demand at emergency departments | Jul 13, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 | 0 |
| Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings | Mar 28, 2017 | General ClassificationTime Series | —Unverified | 0 | 0 |
| Simulating extrapolated dynamics with parameterization networks | Feb 9, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Simulating financial time series using attention | Jul 1, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Simulating Network Paths with Recurrent Buffering Units | Feb 23, 2022 | Decision MakingSequential Decision Making | —Unverified | 0 | 0 |
| Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models | Feb 18, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions | May 16, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A detection analysis for temporal memory patterns at different time-scales | Sep 21, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpreting intermediate convolutional layers in unsupervised acoustic word classification | Oct 5, 2021 | Classificationregression | —Unverified | 0 | 0 |
| Interpreting Differentiable Latent States for Healthcare Time-series Data | Nov 29, 2023 | Predicting Patient OutcomesTime Series | —Unverified | 0 | 0 |
| Deep Classification of Epileptic Signals | Jan 11, 2018 | ClassificationEEG | —Unverified | 0 | 0 |
| Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution | Jan 29, 2015 | ClusteringTAG | —Unverified | 0 | 0 |
| Interpretable Vector AutoRegressions with Exogenous Time Series | Nov 9, 2017 | ManagementMarketing | —Unverified | 0 | 0 |
| DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection | Jul 18, 2024 | Deep Reinforcement LearningTime Series | —Unverified | 0 | 0 |
| Interpretable Transformation and Analysis of Timelines through Learning via Surprisability | Mar 6, 2025 | Time Series | —Unverified | 0 | 0 |
| Learning Disentangled Representations for Time Series | May 17, 2021 | DisentanglementRepresentation Learning | —Unverified | 0 | 0 |
| Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning | Jul 26, 2020 | Deep LearningTime Series | —Unverified | 0 | 0 |
| A unified framework of epidemic spreading prediction by empirical mode decomposition based ensemble learning techniques | Jan 3, 2019 | Ensemble LearningPrediction | —Unverified | 0 | 0 |
| Interpretable time series neural representation for classification purposes | Oct 25, 2023 | ClassificationRepresentation Learning | —Unverified | 0 | 0 |
| Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information | Jan 12, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 | 0 |
| Size-Consistent Statistics for Anomaly Detection in Dynamic Networks | Aug 2, 2016 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Interpretable Time Series Clustering Using Local Explanations | Aug 1, 2022 | ClassificationClustering | —Unverified | 0 | 0 |