| Dynamic Virtual Graph Significance Networks for Predicting Influenza | Feb 16, 2021 | Representation LearningTime Series | CodeCode Available | 0 |
| On the use of generative deep neural networks to synthesize artificial multichannel EEG signals | Feb 16, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| A Complex Systems Approach To Feature Extraction for Chaotic Behavior Recognition | Feb 15, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Controlling False Discovery Rates under Cross-Sectional Correlations | Feb 15, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Geometric feature performance under downsampling for EEG classification tasks | Feb 15, 2021 | BenchmarkingClassification | —Unverified | 0 |
| Network of Tensor Time Series | Feb 15, 2021 | Financial AnalysisTensor Decomposition | CodeCode Available | 1 |
| Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series | Feb 15, 2021 | ImputationTime Series | CodeCode Available | 1 |
| Tight lower bounds for Dynamic Time Warping | Feb 14, 2021 | Computational EfficiencyDynamic Time Warping | CodeCode Available | 0 |
| Clustering Interval-Censored Time-Series for Disease Phenotyping | Feb 13, 2021 | ClusteringTime Series | —Unverified | 0 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
| How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? | Feb 12, 2021 | Anomaly DetectionFraud Detection | —Unverified | 0 |
| A Metamodel and Framework for Artificial General Intelligence From Theory to Practice | Feb 11, 2021 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak | Feb 11, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| Feature Selection for Multivariate Time Series via Network Pruning | Feb 11, 2021 | feature selectionNetwork Pruning | CodeCode Available | 0 |
| Causal Inference for Time series Analysis: Problems, Methods and Evaluation | Feb 11, 2021 | Causal DiscoveryCausal Inference | —Unverified | 0 |
| PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification | Feb 11, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| Testing Framework for Black-box AI Models | Feb 11, 2021 | Decision MakingFairness | —Unverified | 0 |
| Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models | Feb 10, 2021 | Inductive BiasMultivariate Time Series Forecasting | CodeCode Available | 0 |
| Conditional Loss and Deep Euler Scheme for Time Series Generation | Feb 10, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets | Feb 10, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF) | Feb 10, 2021 | ClusteringDimensionality Reduction | —Unverified | 0 |
| NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting | Feb 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping | Feb 10, 2021 | ClusteringDynamic Time Warping | CodeCode Available | 1 |
| On Disentanglement in Gaussian Process Variational Autoencoders | Feb 10, 2021 | DisentanglementTime Series | —Unverified | 0 |
| Last Query Transformer RNN for knowledge tracing | Feb 10, 2021 | Knowledge TracingTime Series | CodeCode Available | 1 |