CERES: A Probabilistic Early Warning System for Acute Food Insecurity
Fuente:
arXiv
Saved in:
| Main Author: | Pedersen, Tom Danny S. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings
by: Wang, Hanjing, et al.
Published: (2026)
by: Wang, Hanjing, et al.
Published: (2026)
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024)
by: Zhang, Hanyu, et al.
Published: (2024)
Classification Modeling with RNN-Based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
by: Siswara, Deri, et al.
Published: (2024)
by: Siswara, Deri, et al.
Published: (2024)
The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets
by: O'Connor, Ciaran, et al.
Published: (2025)
by: O'Connor, Ciaran, et al.
Published: (2025)
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients
by: Khosravi, Hamed, et al.
Published: (2024)
by: Khosravi, Hamed, et al.
Published: (2024)
SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing
by: Parashar, Anjali, et al.
Published: (2026)
by: Parashar, Anjali, et al.
Published: (2026)
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
by: Ansah-Narh, T., et al.
Published: (2026)
by: Ansah-Narh, T., et al.
Published: (2026)
Bayesian Networks for Causal Analysis in Socioecological Systems
by: Cabañas, Rafael, et al.
Published: (2024)
by: Cabañas, Rafael, et al.
Published: (2024)
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction
by: Tosaki, Taisei, et al.
Published: (2024)
by: Tosaki, Taisei, et al.
Published: (2024)
Latent Space Data Fusion Outperforms Early Fusion in Multimodal Mental Health Digital Phenotyping Data
by: Barkat, Youcef, et al.
Published: (2025)
by: Barkat, Youcef, et al.
Published: (2025)
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements
by: Bouman, Roel, et al.
Published: (2024)
by: Bouman, Roel, et al.
Published: (2024)
Cinder: A fast and fair matchmaking system
by: Pal, Saurav
Published: (2025)
by: Pal, Saurav
Published: (2025)
Surrogate-Based Prevalence Measurement for Large-Scale A/B Testing
by: Xu, Zehao, et al.
Published: (2026)
by: Xu, Zehao, et al.
Published: (2026)
A network analysis of decision strategies of human experts in steel manufacturing
by: Merten, Daniel Christopher, et al.
Published: (2021)
by: Merten, Daniel Christopher, et al.
Published: (2021)
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
by: Song, Xinyi, et al.
Published: (2025)
by: Song, Xinyi, et al.
Published: (2025)
HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics
by: Luettgau, Lennart, et al.
Published: (2025)
by: Luettgau, Lennart, et al.
Published: (2025)
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study
by: Beyel, Harry H., et al.
Published: (2024)
by: Beyel, Harry H., et al.
Published: (2024)
TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients
by: Dong, Fanglin
Published: (2024)
by: Dong, Fanglin
Published: (2024)
A survey of using EHR as real-world evidence for discovering and validating new drug indications
by: Talukdar, Nabasmita, et al.
Published: (2025)
by: Talukdar, Nabasmita, et al.
Published: (2025)
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership
by: Moreau, Hugues, et al.
Published: (2024)
by: Moreau, Hugues, et al.
Published: (2024)
Prediction of Delirium Risk in Mild Cognitive Impairment Using Time-Series data, Machine Learning and Comorbidity Patterns -- A Retrospective Study
by: Ramamoorthy, Santhakumar, et al.
Published: (2025)
by: Ramamoorthy, Santhakumar, et al.
Published: (2025)
A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
by: Camacho, Jose Manuel, et al.
Published: (2024)
by: Camacho, Jose Manuel, et al.
Published: (2024)
A Hybrid Artificial Intelligence Method for Estimating Flicker in Power Systems
by: Enayati, Javad, et al.
Published: (2025)
by: Enayati, Javad, et al.
Published: (2025)
Adapting Probabilistic Risk Assessment for AI
by: Wisakanto, Anna Katariina, et al.
Published: (2025)
by: Wisakanto, Anna Katariina, et al.
Published: (2025)
Decision Quality Evaluation Framework at Pinterest
by: Tian, Yuqi, et al.
Published: (2026)
by: Tian, Yuqi, et al.
Published: (2026)
Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
by: Ye, Zikun, et al.
Published: (2026)
by: Ye, Zikun, et al.
Published: (2026)
From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
by: Zhang, Jiaxin, et al.
Published: (2026)
by: Zhang, Jiaxin, et al.
Published: (2026)
Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients
by: Hardy, Michael, et al.
Published: (2026)
by: Hardy, Michael, et al.
Published: (2026)
On the Mechanistic Interpretability of Neural Networks for Causality in Bio-statistics
by: Conan, Jean-Baptiste A.
Published: (2025)
by: Conan, Jean-Baptiste A.
Published: (2025)
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods
by: Tsai, Peng-Hung, et al.
Published: (2024)
by: Tsai, Peng-Hung, et al.
Published: (2024)
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making
by: Wang, Hui Sophie, et al.
Published: (2023)
by: Wang, Hui Sophie, et al.
Published: (2023)
Decade-long Emission Forecasting with an Ensemble Model in Taiwan
by: Hung, Gordon, et al.
Published: (2025)
by: Hung, Gordon, et al.
Published: (2025)
ChatGPT and post-test probability
by: Weisenthal, Samuel J.
Published: (2023)
by: Weisenthal, Samuel J.
Published: (2023)
Calculating Customer Lifetime Value and Churn using Beta Geometric Negative Binomial and Gamma-Gamma Distribution in a NFT based setting
by: Das, Sagarnil
Published: (2025)
by: Das, Sagarnil
Published: (2025)
Unlocking the Potential of Past Research: Using Generative AI to Reconstruct Healthcare Simulation Models
by: Monks, Thomas, et al.
Published: (2025)
by: Monks, Thomas, et al.
Published: (2025)
The Advancement of Personalized Learning Potentially Accelerated by Generative AI
by: Wei, Yuang, et al.
Published: (2024)
by: Wei, Yuang, et al.
Published: (2024)
Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
by: Zheng, Simin, et al.
Published: (2025)
by: Zheng, Simin, et al.
Published: (2025)
Performance Evaluation of Large Language Models in Statistical Programming
by: Song, Xinyi, et al.
Published: (2025)
by: Song, Xinyi, et al.
Published: (2025)
Scalable Stewardship of an LLM-Assisted Clinical Benchmark with Physician Oversight
by: Ye, Junze, et al.
Published: (2025)
by: Ye, Junze, et al.
Published: (2025)
Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
Similar Items
-
Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings
by: Wang, Hanjing, et al.
Published: (2026) -
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024) -
Classification Modeling with RNN-Based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
by: Siswara, Deri, et al.
Published: (2024) -
The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets
by: O'Connor, Ciaran, et al.
Published: (2025) -
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients
by: Khosravi, Hamed, et al.
Published: (2024)