| Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data | Jan 31, 2022 | HumanitarianKnowledge Distillation | CodeCode Available | 0 |
| Dual-Tasks Siamese Transformer Framework for Building Damage Assessment | Jan 26, 2022 | Building Damage AssessmentDecoder | —Unverified | 0 |
| ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI | Jan 25, 2022 | Active LearningDisaster Response | —Unverified | 0 |
| Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery | Jan 24, 2022 | Humanitarian | —Unverified | 0 |
| UCD-CS at TREC 2021 Incident Streams Track | Dec 7, 2021 | HumanitarianMulti-Task Learning | CodeCode Available | 0 |
| Developing a Trusted Human-AI Network for Humanitarian Benefit | Dec 7, 2021 | HumanitarianMisinformation | —Unverified | 0 |
| Fine-grained prediction of food insecurity using news streams | Nov 17, 2021 | ArticlesDecision Making | —Unverified | 0 |
| How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing | Nov 7, 2021 | ClassificationHumanitarian | —Unverified | 0 |
| Building Damage Mapping with Self-PositiveUnlabeled Learning | Nov 4, 2021 | Building Damage AssessmentHumanitarian | —Unverified | 0 |
| NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks | Oct 27, 2021 | Computational EfficiencyContrastive Learning | —Unverified | 0 |
