conftrace_

demand forecasting

19 papers

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Co-occurring keywords

time series forecasting (364) graph neural network (3962) time series (435) deep learning (2118) demand modeling (3) high-dimensional time series (6) matrix factorization (529) causal inference (1630) prescriptive pricing (1) mixed datum (13)

Papers

LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce AAAI 2026
Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey IJCAI 2025
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025
Diffusion-aware Censored Gaussian Processes for Demand Modelling 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 NIPS 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
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
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning IJCAI 2019
Forecasting Intra-Hour Imbalances in Electric Power Systems AAAI 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NIPS 2019
Mixed Causal Structure Discovery with Application to Prescriptive Pricing IJCAI 2018
Scalable Demand-Aware Recommendation NIPS 2017
Bayesian Intermittent Demand Forecasting for Large Inventories NIPS 2016
Correcting Forecasts with Multifactor Neural Attention ICML 2016
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction NIPS 2016