| A Quantum Field Theory of Representation Learning | Jul 4, 2019 | Representation LearningTime Series | —Unverified | 0 |
| A Lane-Changing Prediction Method Based on Temporal Convolution Network | Nov 1, 2020 | PredictionTime Series | —Unverified | 0 |
| A Pseudo Markov-Chain Model and Time-Elapsed Measures of Mobility from Collective Data | Feb 6, 2025 | Time Series | —Unverified | 0 |
| A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series | Sep 17, 2015 | ClusteringTime Series | —Unverified | 0 |
| A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting | Dec 6, 2022 | DecoderInductive Bias | —Unverified | 0 |
| Adaptive Kernel Estimation of the Spectral Density with Boundary Kernel Analysis | Mar 11, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| 3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting | Mar 3, 2019 | 4D Spatio Temporal Semantic SegmentationTime Series | —Unverified | 0 |
| Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE | Oct 30, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Continuous-time Autoencoders for Regular and Irregular Time Series Imputation | Dec 27, 2023 | ImputationIrregular Time Series | —Unverified | 0 |
| ACCTS: an Adaptive Model Training Policy for Continuous Classification of Time Series | Sep 29, 2021 | Continual LearningTime Series | —Unverified | 0 |
