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Humanitarian

Papers

Showing 126150 of 185 papers

TitleStatusHype
Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers0
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques0
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response0
Predicting Landsat Reflectance with Deep Generative FusionCode0
Human-in-the-loop solution for scoring economic development from geospatial data0
Vehicular Networks for Combating a Worldwide Pandemic: Preventing the Spread of COVID-190
Monitoring War Destruction from Space: A Machine Learning Approach0
Automatic Quantification of Settlement Damage using Deep Learning of Satellite Images0
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient0
Visual Sentiment Analysis from Disaster Images in Social Media0
Tense, aspect and mood based event extraction for situation analysis and crisis management0
Clustering of Social Media Messages for Humanitarian Aid Response during CrisisCode0
Good AI for the Present of Humanity0
Estimating Displaced Populations from OverheadCode0
Rapid Response Crop Maps in Data Sparse RegionsCode1
Application of Data Science to Discover Violence-Related Issues in Iraq0
An Experimental Study on Airborne Landmine Detection Using a Circular Synthetic Aperture Radar0
Tagging Location Phrases in Text0
RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery0
Analysis of Social Media Data using Multimodal Deep Learning for Disaster ResponseCode1
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing0
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian ResponseCode0
Generating Interpretable Poverty Maps using Object Detection in Satellite Images0
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts0
Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data0
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