EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters

Research article (Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020) · cited 15× · AI/ML
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EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters

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EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters. Retrieved May 24, 2026, from https://4ort.xyz/entity/endea-ensemble-based-decoupled-adversarial-learning-for-identifying-infrastructure-damage-during-disasters
MLA “EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/endea-ensemble-based-decoupled-adversarial-learning-for-identifying-infrastructure-damage-during-disasters.
BibTeX @misc{4ortxyz_endea-ensemble-based-decoupled-adversarial-learning-for-identifying-infrastructure-damage-during-disasters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters}}, year = {2026}, url = {https://4ort.xyz/entity/endea-ensemble-based-decoupled-adversarial-learning-for-identifying-infrastructure-damage-during-disasters}, note = {Accessed: 2026-05-24}}
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