HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting Jan 10, 2024 Decoder Demand Forecasting
— Unverified 0 HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting May 14, 2023 Time Series Time Series Forecasting
— Unverified 0 HiPPO-KAN: Efficient KAN Model for Time Series Analysis Oct 19, 2024 Time Series Time Series Analysis
— Unverified 0 Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting Mar 30, 2021 Time Series Time Series Analysis
— Unverified 0 How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing? Sep 1, 2023 Deep Reinforcement Learning Time Series Forecasting
— Unverified 0 How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? May 11, 2023 Graph Neural Network Time Series
— Unverified 0 How Much Can A Retailer Sell? Sales Forecasting on Tmall Feb 27, 2020 regression Time Series
— Unverified 0 How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events Mar 12, 2021 Time Series Time Series Analysis
— Unverified 0 HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction Mar 19, 2025 Stock Market Prediction Time Series
— Unverified 0 HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting Jul 27, 2023 Decoder Time Series
— Unverified 0 Hybrid Model for Anomaly Detection on Call Detail Records by Time Series Forecasting Jun 7, 2020 Anomaly Detection Time Series
— Unverified 0 Hybrid Variational Autoencoder for Time Series Forecasting Mar 13, 2023 Time Series Time Series Analysis
— Unverified 0 Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability Jan 2, 2020 Benchmarking Management
— Unverified 0 Hypercomplex neural network in time series forecasting of stock data Jan 9, 2024 Hyperparameter Optimization Time Series
— Unverified 0 HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting May 23, 2025 Multivariate Time Series Forecasting Time Series
— Unverified 0 HySim: An Efficient Hybrid Similarity Measure for Patch Matching in Image Inpainting Mar 21, 2024 Image Inpainting Patch Matching
— Unverified 0 Identification of market trends with string and D2-brane maps Jul 18, 2016 Time Series Time Series Analysis
— Unverified 0 IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction Mar 27, 2024 Time Series Time Series Forecasting
— Unverified 0 Image Processing Tools for Financial Time Series Classification Aug 13, 2020 BIG-bench Machine Learning Classification
— Unverified 0 Impact of Data Normalization on Deep Neural Network for Time Series Forecasting Dec 13, 2018 image-classification Image Classification
— Unverified 0 Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application Sep 19, 2023 Time Series Time Series Forecasting
— Unverified 0 Implicit Reasoning in Deep Time Series Forecasting Sep 17, 2024 Memorization Time Series
— Unverified 0 Improved Genetic Algorithm Based on Greedy and Simulated Annealing Ideas for Vascular Robot Ordering Strategy Mar 28, 2024 global-optimization Time Series
— Unverified 0 Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Dec 13, 2022 Marketing Time Series
— Unverified 0 Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition Dec 30, 2018 Time Series Time Series Analysis
— Unverified 0 Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility Apr 23, 2020 Decision Making Time Series
— Unverified 0 Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Jun 30, 2023 Multivariate Time Series Forecasting Time Series
— Unverified 0 Improving Time Series Forecasting via Instance-aware Post-hoc Revision May 29, 2025 Time Series Time Series Forecasting
— Unverified 0 IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting Feb 17, 2025 Computational Efficiency Missing Values
— Unverified 0 In-context Time Series Predictor May 23, 2024 In-Context Learning Time Series
— Unverified 0 Increasing Server Availability for Overall System Security: A Preventive Maintenance Approach Based on Failure Prediction Jan 21, 2014 Management Time Series
— Unverified 0 Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks Apr 9, 2020 Load Forecasting Time Series
— Unverified 0 Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem Jan 4, 2023 Decoder Time Series
— Unverified 0 Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting May 15, 2025 Time Series Time Series Forecasting
— Unverified 0 InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting Mar 5, 2024 Time Series Time Series Forecasting
— Unverified 0 In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance Feb 25, 2023 Load Forecasting Out-of-Distribution Generalization
— Unverified 0 Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT Jul 6, 2024 Quantization Time Series
— Unverified 0 Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics Sep 13, 2024 Computational Efficiency Mamba
— Unverified 0 Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape Feb 11, 2023 Clustering Feature Importance
— Unverified 0 Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps May 2, 2024 Decision Making Deep Learning
— Unverified 0 Inter-Series Transformer: Attending to Products in Time Series Forecasting Aug 7, 2024 Demand Forecasting Time Series
— Unverified 0 Exploring the Role of Token in Transformer-based Time Series Forecasting Apr 16, 2024 Time Series Time Series Forecasting
— Unverified 0 Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting Jan 6, 2022 Load Forecasting Time Series
— Unverified 0 Is Channel Independent strategy optimal for Time Series Forecasting? Oct 18, 2023 Clustering Time Series
— Unverified 0 Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset Nov 15, 2024 Feature Engineering Imputation
— Unverified 0 Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting Dec 25, 2024 Computational Efficiency Multivariate Time Series Forecasting
— Unverified 0 iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network Apr 23, 2025 Time Series Time Series Forecasting
— Unverified 0 It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting Mar 23, 2023 All Graph Neural Network
— Unverified 0 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values Nov 22, 2019 Missing Values Multivariate Time Series Forecasting
— Unverified 0 Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting Nov 29, 2022 Correlated Time Series Forecasting Time Series
— Unverified 0 