Copertina

Forecasting trends in food security with real time data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Herteux, Joschka, Räth, Christoph, Martini, Giulia, Baha, Amine, Koupparis, Kyriacos, Lauzana, Ilaria, Piovani, Duccio
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Physics and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys
di: Sibilla, Federica, et al.
Pubblicazione: (2026)

Improving the accuracy of food security predictions by integrating conflict data
di: Bertetti, Marco, et al.
Pubblicazione: (2024)

Extracting Actionable Insights from Building Energy Data using Vision LLMs on Wavelet and 3D Recurrence Representations
di: Bechar, Amine, et al.
Pubblicazione: (2025)

Transformer meets wcDTW to improve real-time battery bids: A new approach to scenario selection
di: Bhavsar, Sujal, et al.
Pubblicazione: (2024)

A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food
di: Artman, Conor M., et al.
Pubblicazione: (2024)

Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
di: Chen, Jun-Hao, et al.
Pubblicazione: (2025)

From Heuristics to Analytics: Forecasting Effort and Progress in Online Learning
di: Qiu, Eric S., et al.
Pubblicazione: (2026)

vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders
di: Zancanaro, Alberto, et al.
Pubblicazione: (2023)

Integrating the Expected Future in Load Forecasts with Contextually Enhanced Transformer Models
di: Theiler, Raffael, et al.
Pubblicazione: (2024)

Improving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning
di: Park, Sangjoon, et al.
Pubblicazione: (2024)

Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI
di: Abolghasemi, MAhdi, et al.
Pubblicazione: (2023)

Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas
di: Malialis, Kleanthis, et al.
Pubblicazione: (2024)

A Water Efficiency Dataset for African Data Centers
di: Shumba, Noah, et al.
Pubblicazione: (2024)

Gradient Boosting Application in Forecasting of Performance Indicators Values for Measuring the Efficiency of Promotions in FMCG Retail
di: Henzel, Joanna, et al.
Pubblicazione: (2020)

Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting
di: Chawla, Freyaa, et al.
Pubblicazione: (2026)

Accurate Multi-Category Student Performance Forecasting at Early Stages of Online Education Using Neural Networks
di: Junejo, Naveed Ur Rehman, et al.
Pubblicazione: (2024)

Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2
di: Wang, Jing, et al.
Pubblicazione: (2025)

Forecasting India's Demographic Transition Under Fertility Policy Scenarios Using hybrid LSTM-PINN Model
di: Khanra, Subarna, et al.
Pubblicazione: (2025)

A Comparative Analysis of Traditional and Deep Learning Time Series Architectures for Influenza A Infectious Disease Forecasting
di: Agyemang, Edmund F., et al.
Pubblicazione: (2025)

Automatic Evaluation Metrics for Artificially Generated Scientific Research
di: Höpner, Niklas, et al.
Pubblicazione: (2025)

Causal machine learning for sustainable agroecosystems
di: Sitokonstantinou, Vasileios, et al.
Pubblicazione: (2024)

A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
di: Pagan, Nicolò, et al.
Pubblicazione: (2023)

Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI
di: Rath, Plawan Kumar, et al.
Pubblicazione: (2026)

Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
di: Abrar, Saad Mohammad, et al.
Pubblicazione: (2024)

On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model
di: Scantamburlo, Teresa, et al.
Pubblicazione: (2023)

I'm Sorry Dave: How the old world of personnel security can inform the new world of AI insider risk
di: Martin, Paul, et al.
Pubblicazione: (2025)

Forecasting and Mitigating Disruptions in Public Bus Transit Services
di: Han, Chaeeun, et al.
Pubblicazione: (2024)

Air Pollution Forecasting in Bucharest
di: Şerban, Dragoş-Andrei, et al.
Pubblicazione: (2025)

Real-time Air Pollution prediction model based on Spatiotemporal Big data
di: Le, Van-Duc, et al.
Pubblicazione: (2018)

The Value of Prediction in Identifying the Worst-Off
di: Fischer-Abaigar, Unai, et al.
Pubblicazione: (2025)

A review on data fusion in multimodal learning analytics and educational data mining
di: Chango, Wilson, et al.
Pubblicazione: (2025)

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
di: Qiu, Xiangfei, et al.
Pubblicazione: (2024)

Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources
di: Babanejaddehaki, Ghazaleh, et al.
Pubblicazione: (2024)

Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems
di: Wang, Feilong, et al.
Pubblicazione: (2024)

Analyzing the Variations in Emergency Department Boarding and Testing the Transferability of Forecasting Models across COVID-19 Pandemic Waves in Hong Kong: Hybrid CNN-LSTM approach to quantifying building-level socioecological risk
di: Leung, Eman, et al.
Pubblicazione: (2024)

Tailored minimal reservoir computing: on the bidirectional connection between nonlinearities in the reservoir and in data
di: Prosperino, Davide, et al.
Pubblicazione: (2025)

On the Meta-Design of Allocation Problems
di: Fischer-Abaigar, Unai, et al.
Pubblicazione: (2026)

Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
di: Simson, Jan, et al.
Pubblicazione: (2025)

Forecasting Energy Consumption using Recurrent Neural Networks: A Comparative Analysis
di: Maity, Abhishek, et al.
Pubblicazione: (2026)

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
di: Gado, Elena Grazia, et al.
Pubblicazione: (2024)