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Humanitarian

Papers

Showing 5175 of 185 papers

TitleStatusHype
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response0
Deep learning waterways for rural infrastructure development0
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient0
Desk-AId: Humanitarian Aid Desk Assessment with Geospatial AI for Predicting Landmine Areas0
Detecting Actionable Requests and Offers on Social Media During Crises Using LLMs0
Developing a Trusted Human-AI Network for Humanitarian Benefit0
Automatic Quantification of Settlement Damage using Deep Learning of Satellite Images0
ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization0
Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting0
Drone Flocking Optimization using NSGA-II and Principal Component Analysis0
Dual-Tasks Siamese Transformer Framework for Building Damage Assessment0
Automatic Speech Recognition for Humanitarian Applications in Somali0
Can Digital Aid Deliver During Humanitarian Crises?0
Applications of Online Deep Learning for Crisis Response Using Social Media Information0
Application of Data Science to Discover Violence-Related Issues in Iraq0
Building Damage Mapping with Self-PositiveUnlabeled Learning0
A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling0
A Call to Arms: AI Should be Critical for Social Media Analysis of Conflict Zones0
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data0
Experimentation on the motion of an obstacle avoiding robot0
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy0
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring0
Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics0
Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual bottleneck extractor and correspondence autoencoders0
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions0
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