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researcher

K. Mosalam

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedBalanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime

101 citations · 103 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 101 cited

Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime

Yuqing Gao, Pengyuan Zhai, Khalid M. Mosalam

In recent years, applying deep learning (DL) to assess structural damages has gained growing popularity in vision-based structural health monitoring (SHM). However, both data defic…

cs.CL2020★ 2 cited

Text Analytics for Resilience-Enabled Extreme Events Reconnaissance

Alicia Y. Tsai, Selim Gunay, Minjune Hwang +4

Post-hazard reconnaissance for natural disasters (e.g., earthquakes) is important for understanding the performance of the built environment, speeding up the recovery, enhancing re…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.