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| High-Dimensional Granger Causality Tests with an Application to VIX and News | Dec 13, 2019 | regressionTime Series | CodeCode Available | 1 | 5 |
| Enhancing Financial Market Predictions: Causality-Driven Feature Selection | Aug 2, 2024 | ClassificationTime Series Regression | CodeCode Available | 1 | 5 |
| Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection | Jun 10, 2021 | Fire DetectionMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities | Feb 8, 2022 | Domain AdaptationGraph Mining | CodeCode Available | 1 | 5 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 | 5 |
| Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data | Jan 3, 2022 | Graph Neural Networkregression | CodeCode Available | 1 | 5 |
| MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization | Nov 6, 2023 | ManagementPosition | CodeCode Available | 1 | 5 |
| A Transformer-based Framework for Multivariate Time Series Representation Learning | Oct 6, 2020 | Computational EfficiencyGeneral Classification | CodeCode Available | 1 | 5 |
| Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Jan 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Adversarial Examples in Deep Learning for Multivariate Time Series Regression | Sep 24, 2020 | Adversarial AttackDeep Learning | CodeCode Available | 1 | 5 |
| Monash University, UEA, UCR Time Series Extrinsic Regression Archive | Jun 19, 2020 | BenchmarkingMissing Values | CodeCode Available | 1 | 5 |
| Time Series Extrinsic Regression | Jun 23, 2020 | regressionTime Series | CodeCode Available | 1 | 5 |
| Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework | Oct 19, 2022 | Experimental DesignTime Series Regression | CodeCode Available | 1 | 5 |
| Knowledge Informed Machine Learning using a Weibull-based Loss Function | Jan 4, 2022 | BIG-bench Machine LearningManagement | CodeCode Available | 1 | 5 |
| On the Soundness of XAI in Prognostics and Health Management (PHM) | Mar 9, 2023 | Explainable Artificial Intelligence (XAI)Management | CodeCode Available | 0 | 5 |
| A Multi-Horizon Quantile Recurrent Forecaster | Nov 29, 2017 | quantile regressionregression | CodeCode Available | 0 | 5 |
| A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities | Nov 18, 2022 | Computational EfficiencyHumanitarian | CodeCode Available | 0 | 5 |
| AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge | Jul 28, 2021 | AutoMLFeature Engineering | CodeCode Available | 0 | 5 |
| Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs | Apr 21, 2022 | BenchmarkingChange Point Detection | CodeCode Available | 0 | 5 |
| Conformal Prediction Intervals with Temporal Dependence | May 25, 2022 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis | May 11, 2024 | ArticlesSentiment Analysis | CodeCode Available | 0 | 5 |
| Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows | May 27, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Effective Benchmarks for Optical Turbulence Modeling | Jan 7, 2024 | Time Series ForecastingTime Series Regression | CodeCode Available | 0 | 5 |
| Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming | May 16, 2017 | ClassificationDiversity | CodeCode Available | 0 | 5 |
| Evolving-Graph Gaussian Processes | Jun 29, 2021 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Factor-augmented tree ensembles | Nov 27, 2021 | Ensemble Learningregression | CodeCode Available | 0 | 5 |
| Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling | Jun 6, 2021 | EconometricsTime Series | CodeCode Available | 0 | 5 |
| Homological Neural Networks: A Sparse Architecture for Multivariate Complexity | Jun 27, 2023 | Deep LearningTime Series | CodeCode Available | 0 | 5 |
| Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding | Jul 12, 2024 | regressiontext-to-speech | CodeCode Available | 0 | 5 |
| Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees | May 16, 2017 | Classificationfeature selection | CodeCode Available | 0 | 5 |
| On the Soundness of XAI in Prognostics and Health Management (PHM) | Apr 24, 2023 | Explainable Artificial Intelligence (XAI)Management | CodeCode Available | 0 | 5 |
| Reinforced Knowledge Distillation for Time Series Regression | Jun 21, 2024 | Knowledge DistillationModel Compression | CodeCode Available | 0 | 5 |
| Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input | Jul 26, 2023 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models | Mar 26, 2025 | Federated Learningimage-classification | CodeCode Available | 0 | 5 |
| Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes | May 26, 2022 | Gaussian ProcessesTime Series Analysis | —Unverified | 0 | 0 |
| FIC-TSC: Learning Time Series Classification with Fisher Information Constraint | May 9, 2025 | ClassificationTime Series | —Unverified | 0 | 0 |
| High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods | Aug 27, 2023 | regressionTime Series | —Unverified | 0 | 0 |
| State Drug Policy Effectiveness: Comparative Policy Analysis of Drug Overdose Mortality | Sep 3, 2019 | ClusteringTime Series | —Unverified | 0 | 0 |
| Change-Point Detection in Time Series Using Mixed Integer Programming | Aug 11, 2024 | Change Point Detectionregression | —Unverified | 0 | 0 |
| Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models | Apr 19, 2025 | Deep LearningLanguage Modeling | —Unverified | 0 | 0 |
| Robust Inference on Infinite and Growing Dimensional Time Series Regression | Nov 20, 2019 | regressionTime Series | —Unverified | 0 | 0 |
| Learning Subjective Time-Series Data via Utopia Label Distribution Approximation | Jul 15, 2023 | Age EstimationDepth Estimation | —Unverified | 0 | 0 |
| Learning temporal evolution of probability distribution with Recurrent Neural Network | Jan 1, 2018 | General Classificationregression | —Unverified | 0 | 0 |
| Leveraging Sample Entropy for Enhanced Volatility Measurement and Prediction in International Oil Price Returns | Dec 20, 2023 | Decision Makingregression | —Unverified | 0 | 0 |
| Limit Theory under Network Dependence and Nonstationarity | Aug 2, 2023 | Econometricsregression | —Unverified | 0 | 0 |
| LLM-ABBA: Understanding time series via symbolic approximation | Nov 27, 2024 | Time SeriesTime Series Classification | —Unverified | 0 | 0 |
| Marginalised Spectral Mixture Kernels with Nested Sampling | Nov 23, 2020 | Prediction Intervalsregression | —Unverified | 0 | 0 |
| Masked Multi-Step Multivariate Time Series Forecasting with Future Information | Sep 28, 2022 | Demand ForecastingMultivariate Time Series Forecasting | —Unverified | 0 | 0 |
| Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand | Feb 14, 2023 | Demand ForecastingTime Series | —Unverified | 0 | 0 |