SOTAVerified

Humanitarian

Papers

Showing 2650 of 185 papers

TitleStatusHype
Prioritizing emergency evacuations under compounding levels of uncertaintyCode0
Rethinking the Event Coding Pipeline with Prompt EntailmentCode0
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry ClassificationCode0
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian ResponseCode0
Transfer Learning from Deep Features for Remote Sensing and Poverty MappingCode0
Clustering of Social Media Messages for Humanitarian Aid Response during CrisisCode0
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian OperationsCode0
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian AidCode0
Heuristics for optimizing 3D mapping missions over swarm-powered ad hoc cloudsCode0
CEHA: A Dataset of Conflict Events in the Horn of AfricaCode0
HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis ResponseCode0
Forecasting Internally Displaced Population Migration Patterns in Syria and YemenCode0
CaBuAr: California Burned Areas dataset for delineationCode0
Estimating Displaced Populations from OverheadCode0
Extracting Victim Counts from TextCode0
Forecasting trends in food security with real time dataCode0
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case StudyCode0
Differential Attention for Multimodal Crisis Event AnalysisCode0
A Chatbot for Asylum-Seeking Migrants in EuropeCode0
Congolese Swahili Machine Translation for Humanitarian ResponseCode0
DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance LevelCode0
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing DataCode0
Earthquake Response Analysis with AICode0
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual DataCode0
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian NetworksCode0
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