| ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting | Aug 14, 2023 | Computational EfficiencyManagement | —Unverified | 0 |
| TorchQL: A Programming Framework for Integrity Constraints in Machine Learning | Aug 13, 2023 | Autonomous DrivingImage Classification | —Unverified | 0 |
| Probabilistic Imputation for Time-series Classification with Missing Data | Aug 13, 2023 | ImputationMissing Values | CodeCode Available | 0 |
| ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN | Aug 13, 2023 | Anomaly DetectionTime Series | —Unverified | 0 |
| Volterra Accentuated Non-Linear Dynamical Admittance (VANYA) to model Deforestation: An Exemplification from the Amazon Rainforest | Aug 12, 2023 | Time Series | —Unverified | 0 |
| Quantile Time Series Regression Models Revisited | Aug 12, 2023 | regressionTime Series | —Unverified | 0 |
| Deep learning-based flow disaggregation for short-term hydropower plant operations | Aug 11, 2023 | Decision MakingDeep Learning | —Unverified | 0 |
| Causally Linking Health Application Data and Personal Information Management Tools | Aug 11, 2023 | ManagementTime Series | —Unverified | 0 |
| Nonlinear Permuted Granger Causality | Aug 11, 2023 | Causal InferenceFunctional Connectivity | —Unverified | 0 |
| Change Point Detection with Conceptors | Aug 11, 2023 | Change Point DetectionTime Series | CodeCode Available | 0 |
| Commodities Trading through Deep Policy Gradient Methods | Aug 10, 2023 | Algorithmic TradingDeep Reinforcement Learning | —Unverified | 0 |
| A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009 | Aug 10, 2023 | Causal InferenceTime Series | —Unverified | 0 |
| AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting | Aug 10, 2023 | AutoMLPhilosophy | CodeCode Available | 6 |
| Information decomposition reveals hidden high-order contributions to temporal irreversibility | Aug 10, 2023 | Time Series | CodeCode Available | 0 |
| PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer | Aug 9, 2023 | Computational EfficiencyMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Sparse Binary Transformers for Multivariate Time Series Modeling | Aug 9, 2023 | Anomaly DetectionTime Series | —Unverified | 0 |
| A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation | Aug 8, 2023 | Document SummarizationSemantic Similarity | —Unverified | 0 |
| Exploring Different Time-series-Transformer (TST) Architectures: A Case Study in Battery Life Prediction for Electric Vehicles (EVs) | Aug 7, 2023 | DecoderManagement | —Unverified | 0 |
| SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction | Aug 7, 2023 | AttributeContrastive Learning | CodeCode Available | 1 |
| Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field | Aug 7, 2023 | Activity RecognitionTime Series | —Unverified | 0 |
| Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure | Aug 7, 2023 | Decision Makingregression | CodeCode Available | 0 |
| DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction | Aug 7, 2023 | Decision MakingDecoder | —Unverified | 0 |
| DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data | Aug 7, 2023 | Domain GeneralizationTime Series | —Unverified | 0 |
| Causal Effect Estimation on Hierarchical Spatial Graph Data | Aug 6, 2023 | Causal InferenceTime Series | CodeCode Available | 0 |
| Causal Disentanglement Hidden Markov Model for Fault Diagnosis | Aug 6, 2023 | DisentanglementDomain Adaptation | —Unverified | 0 |