| Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach | Apr 4, 2014 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Symbolic Representation Learning for Heterogeneous Time-series Classification | Dec 5, 2016 | ClassificationGeneral Classification | —Unverified | 0 |
| Day-ahead time series forecasting: application to capacity planning | Nov 6, 2018 | ClusteringTime Series | —Unverified | 0 |
| Analysis of Indian foreign exchange markets: A Multifractal Detrended Fluctuation Analysis (MFDFA) approach | Jun 28, 2023 | Time Series | —Unverified | 0 |
| Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding | May 22, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Learning the Non-linearity in Convolutional Neural Networks | May 29, 2019 | Data AugmentationTime Series | —Unverified | 0 |
| Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics | Sep 11, 2015 | Model SelectionTime Series | —Unverified | 0 |
| Learning Theory and Algorithms for Forecasting Non-stationary Time Series | Dec 1, 2015 | Learning TheoryTime Series | —Unverified | 0 |
| Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data | Mar 4, 2024 | Time Series | —Unverified | 0 |
| Learning The Sequential Temporal Information with Recurrent Neural Networks | Jul 8, 2018 | Image CaptioningLanguage Modeling | —Unverified | 0 |
| Attention-Based Reading, Highlighting, and Forecasting of the Limit Order Book | Sep 3, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling | Jan 13, 2021 | Feature Importancefeature selection | —Unverified | 0 |
| A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring | Apr 19, 2017 | Activity RecognitionDeep Learning | —Unverified | 0 |
| Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting | Dec 27, 2023 | Contrastive LearningCorrelated Time Series Forecasting | —Unverified | 0 |
| Local Exceptionality Detection in Time Series Using Subgroup Discovery | Aug 5, 2021 | Subgroup DiscoveryTime Series | —Unverified | 0 |
| Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain | Aug 15, 2024 | EEGTime Series | —Unverified | 0 |
| Localizing the Origin of Idiopathic Ventricular Arrhythmia from ECG Using an Attention-Based Recurrent Convolutional Neural Network | Jan 28, 2023 | RhythmTime Series | —Unverified | 0 |
| Local Score Dependent Model Explanation for Time Dependent Covariates | Aug 13, 2019 | Binary ClassificationGeneral Classification | —Unverified | 0 |
| Log Heston Model for Monthly Average VIX | Oct 29, 2024 | modelTime Series | —Unverified | 0 |
| Learning to Attack Powergrids with DERs | Apr 24, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Time Series Models for Scarce Data | Mar 16, 2021 | Model SelectionTime Series | —Unverified | 0 |
| Learning to Diagnose with LSTM Recurrent Neural Networks | Nov 11, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Inferring linear and nonlinear Interaction networks using neighborhood support vector machines | Aug 2, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Inferring Individual Level Causal Models from Graph-based Relational Time Series | Jan 16, 2020 | Causal InferenceTime Series | —Unverified | 0 |
| DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation | Oct 19, 2020 | Domain AdaptationTime Series | —Unverified | 0 |