multimodal social media content (text, image) classification
Crisis Dataset for Benchmarks Experiments
Multi-Task Learning for Disaster Image Classification using MEDIC
an Arabic Twitter Corpus for Crisis Events
Every disaster app tells you where the disaster is. DiresQ tracks the people going into it.
Role-aware crisis tweet summarization using transformer baselines, automated reward scoring, and preference optimization.
Trustworthy multilingual and multimodal AI for crisis intelligence, uncertainty-aware disaster classification, human review, reproducible research and production-grade MLOps.
Emergency Flood Forecasting (2011) 💧 How Do You Predict Floods When All Models Fail? : Grassroots forecasting system that helped 13M people prepare during Thailand's worst disaster - using only existing water data and adaptive research-based models, when conventional prediction tools broke down.
Improving Image Classification in Crisis Informatics Through Modern Generative Approaches
Explainable NLP triage for humanitarian crisis messages using TF-IDF, balanced Logistic Regression and Streamlit.
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