| TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting | Oct 27, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring | Apr 19, 2017 | Activity RecognitionDeep Learning | —Unverified | 0 | 0 |
| A Bayesian Approach to Sparse plus Low rank Network Identification | Mar 25, 2015 | Network Identificationregression | —Unverified | 0 | 0 |
| Inferring linear and nonlinear Interaction networks using neighborhood support vector machines | Aug 2, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Inferring Individual Level Causal Models from Graph-based Relational Time Series | Jan 16, 2020 | Causal InferenceTime Series | —Unverified | 0 | 0 |
| Techniques for visualizing LSTMs applied to electrocardiograms | May 23, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation | Oct 19, 2020 | Domain AdaptationTime Series | —Unverified | 0 | 0 |
| Causal Graph Discovery from Self and Mutually Exciting Time Series | Jun 4, 2021 | Causal Discoveryfeature selection | —Unverified | 0 | 0 |
| Inferring Global Dynamics Using a Learning Machine | Sep 28, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis | Sep 25, 2023 | Time Series | —Unverified | 0 | 0 |
| TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services | Feb 25, 2021 | Anomaly ClassificationClassification | —Unverified | 0 | 0 |
| Telling cause from effect in deterministic linear dynamical systems | Mar 4, 2015 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| Attention-based Neural Network for Driving Environment Complexity Perception | Jun 21, 2021 | object-detectionObject Detection | —Unverified | 0 | 0 |
| Inferring extended summary causal graphs from observational time series | May 19, 2022 | Causal DiscoveryTime Series | —Unverified | 0 | 0 |
| Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization | Apr 30, 2020 | Dimensionality ReductionTime Series | —Unverified | 0 | 0 |
| Inferring dynamic regulatory interaction graphs from time series data with perturbations | Jun 13, 2023 | Causal InferenceGraph Attention | —Unverified | 0 | 0 |
| Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies | Oct 8, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison | Sep 26, 2019 | Feature EngineeringTime Series | —Unverified | 0 | 0 |
| Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach | Aug 25, 2021 | Decoderfeature selection | —Unverified | 0 | 0 |
| Analysis of Hydrological and Suspended Sediment Events from Mad River Watershed using Multivariate Time Series Clustering | Nov 28, 2019 | ClusteringTime Series | —Unverified | 0 | 0 |
| Inferring, comparing and exploring ecological networks from time-series data through R packages constructnet, disgraph and dynet | Mar 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes | Jun 2, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting | May 1, 2025 | Multivariate Time Series ForecastingPrediction | —Unverified | 0 | 0 |
| Inferring birth versus death dynamics for ecological interactions in stochastic heterogeneous populations | Oct 11, 2024 | Time Series | —Unverified | 0 | 0 |
| Inferential Theory for Granular Instrumental Variables in High Dimensions | Jan 17, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |