:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Qazvini, Marjan
Format:	Preprint
Published:	2024
Subjects:	Applications Machine Learning
Online Access:	https://arxiv.org/abs/2411.00317
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analysis of ELSA COVID-19 Substudy response rate using machine learning algorithms
by: Qazvini, Marjan
Published: (2024)

Classification problem in liability insurance using machine learning models: a comparative study
by: Qazvini, Marjan
Published: (2024)

The Impact of Oil and Gold Prices Shock on Tehran Stock Exchange: A Copula Approach
by: Najafabadi, Amir T. Payandeh, et al.
Published: (2020)

Zero-Shot Forecasting Mortality Rates: A Global Study
by: Petnehazi, Gabor, et al.
Published: (2025)

Weather-Related Crash Risk Forecasting: A Deep Learning Approach for Heterogenous Spatiotemporal Data
by: Ogungbire, Abimbola, et al.
Published: (2026)

Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
by: Pashmchi, Parastoo, et al.
Published: (2026)

Long-Term Spatio-Temporal Forecasting of Monthly Rainfall in West Bengal Using Ensemble Learning Approaches
by: Adhikary, Jishu, et al.
Published: (2025)

Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)

Federated Learning for Financial Forecasting
by: Noseda, Manuel, et al.
Published: (2025)

Data-driven Calibration Sample Selection and Forecast Combination in Electricity Price Forecasting: An Application of the ARHNN Method
by: Serafin, Tomasz, et al.
Published: (2025)

Simplifying Random Forests' Probabilistic Forecasts
by: Koster, Nils, et al.
Published: (2024)

Improving Geopolitical Forecasts with Bayesian Networks
by: Martin, Matthew
Published: (2026)

Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population
by: Parikh, Harsh, et al.
Published: (2024)

Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset
by: Luo, Yingtao, et al.
Published: (2025)

CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting
by: Näf, Jeffrey, et al.
Published: (2026)

Externally Validated Longitudinal GRU Model for Visit-Level 180-Day Mortality Risk in Metastatic Castration-Resistant Prostate Cancer
by: Mencia-Ledo, Javier, et al.
Published: (2026)

Monitoring Machine Learning Forecasts for Platform Data Streams
by: Rombouts, Jeroen, et al.
Published: (2024)

Transportation Marketplace Rate Forecast Using Signature Transform
by: Gu, Haotian, et al.
Published: (2024)

Adaptive Multi-task Learning for Probabilistic Load Forecasting
by: Zaballa, Onintze, et al.
Published: (2025)

Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
by: S, Saranya Ganesh, et al.
Published: (2025)

Forecasting West Nile virus with deep graph encoders
by: Greiffenstein, Ethan, et al.
Published: (2025)

CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind Forecasting
by: Bonas, Matthew, et al.
Published: (2024)

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
by: Ahmad, Owais, et al.
Published: (2025)

Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting
by: Dodson, Archer, et al.
Published: (2025)

Social Determinants of Health and Fentanyl Overdose Mortality Across US Counties: An XGBoost and SHAP Analysis Identifying Silent Risk Counties and Treatment Deserts
by: Tiruwa, Kabi Raj, et al.
Published: (2026)

Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts
by: Pic, Romain, et al.
Published: (2024)

Evaluating Weather Forecasts from a Decision Maker's Perspective
by: Raeth, Kornelius, et al.
Published: (2025)

Transfer Learning using 66 Diseases for Disease Forecasting Applications
by: Beesley, Lauren J, et al.
Published: (2026)

Forecasting the future development in quality and value of professional football players
by: van Arem, Koen W., et al.
Published: (2025)

Copula Conformal Prediction for Multi-step Time Series Forecasting
by: Sun, Sophia, et al.
Published: (2022)

The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
by: Bölat, Kutay, et al.
Published: (2025)

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026)

A Composite-Loss Graph Neural Network for the Multivariate Post-Processing of Ensemble Weather Forecasts
by: Lakatos, Mária
Published: (2025)

Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
by: Moradi, Alireza, et al.
Published: (2025)

A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions
by: Hewage, Harsha Chamara, et al.
Published: (2025)

Forecast reconciliation with non-linear constraints
by: Girolimetto, Daniele, et al.
Published: (2025)

DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
by: Ye, Feng, et al.
Published: (2024)

Spatio-temporal DeepKriging in PyTorch: A Supplementary Application to Precipitation Data for Interpolation and Probabilistic Forecasting
by: Nag, Pratik
Published: (2025)

Hybrid Adaptive Conformal Offline Reinforcement Learning for Fair Population Health Management
by: Basu, Sanjay, et al.
Published: (2025)

DemandLens: Enhancing Forecast Accuracy Through Product-Specific Hyperparameter Optimization
by: Pillai, Srijesh, et al.
Published: (2025)