SOTAVerified

Humanitarian

Papers

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Showing 101–150 of 185 papers

TitleStatusHype
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts—0
Quantitative Information Extraction from Humanitarian Documents—0
Reducing measles risk in Turkey through social integration of Syrian refugees—0
Reinforcement learning approach for resource allocation in humanitarian logistics—0
RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery—0
Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data—0
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data—0
Rohingya Refugee Crisis and the State of Insecurity in Bangladesh—0
RweetMiner: Automatic identification and categorization of help requests on twitter during disasters—0
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data—0
Satellite imagery analysis for operational damage assessment in Emergency situations—0
Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play—0
Robust Training of Social Media Image Classification Models for Rapid Disaster Response—0
Spotlight Session on Autonomous Weapons Systems at ICRC 34th International Conference—0
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing—0
Summarizing Situational and Topical Information During Crises—0
Tagging Location Phrases in Text—0
Technical Risks of (Lethal) Autonomous Weapons Systems—0
Tense, aspect and mood based event extraction for situation analysis and crisis management—0
Good AI for the Present of Humanity—0
The KnowWhereGraph Ontology—0
The SpaceNet Multi-Temporal Urban Development Challenge—0
The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs—0
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks—0
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT—0
Topological Components in a Community Currency Network—0
Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature—0
Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages—0
Trust or Bust: Ensuring Trustworthiness in Autonomous Weapon Systems—0
Twitter as a Source of Global Mobility Patterns for Social Good—0
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping—0
Vehicular Networks for Combating a Worldwide Pandemic: Preventing the Spread of COVID-19—0
Visual Sentiment Analysis from Disaster Images in Social Media—0
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas—0
Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports—0
Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models—0
A Call to Arms: AI Should be Critical for Social Media Analysis of Conflict Zones—0
Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers—0
Active InSAR monitoring of building damage in Gaza during the Israel-Hamas War—0
ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI—0
ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization—0
A General Purpose Neural Architecture for Geospatial Systems—0
A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling—0
An Alert-Generation Framework for Improving Resiliency in Human-Supervised, Multi-Agent Teams—0
Analyzing Textual Data for Fatality Classification in Afghanistan's Armed Conflicts: A BERT Approach—0
An Early Warning Model for Forced Displacement—0
An Experimental Study on Airborne Landmine Detection Using a Circular Synthetic Aperture Radar—0
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions—0
Application of Data Science to Discover Violence-Related Issues in Iraq—0
Applications of Online Deep Learning for Crisis Response Using Social Media Information—0
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