demand forecasting

LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce AAAI 2026 Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025 GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025 Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey IJCAI 2025 Exploring Language Models to Analyze Market Demand Sentiments from News ACL 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NeurIPS 2024 AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes AAAI 2023 LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data AAAI 2022 Using Public Data to Predict Demand for Mobile Health Clinics AAAI 2022 Forecasting Intra-Hour Imbalances in Electric Power Systems AAAI 2019 Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning IJCAI 2019 Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019 Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting AAAI 2019 Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NeurIPS 2019 Mixed Causal Structure Discovery with Application to Prescriptive Pricing IJCAI 2018 Scalable Demand-Aware Recommendation NeurIPS 2017 Bayesian Intermittent Demand Forecasting for Large Inventories NeurIPS 2016 Correcting Forecasts with Multifactor Neural Attention ICML 2016 Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction NeurIPS 2016