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Predicting Flash Flood Economic Damage at the Community Scale: Empirical Zero-Inflated Model with Semicontinuous Data

https://doi.org/10.1061/NHREFO.NHENG-1729

Chang, Shi; Singh Wilkho, Rohan; Gharaibeh, Nasir; Lyle, Stacey; Zou, Lei (November 2023, Natural Hazards Review)

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FF-IR: An information retrieval system for flash flood events developed by integrating public-domain data and machine learning

https://doi.org/10.1016/j.envsoft.2023.105734

Wilkho, Rohan Singh; Gharaibeh, Nasir G.; Chang, Shi; Zou, Lei (September 2023, Environmental Modelling & Software)

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Environmental, climatic, and situational factors influencing the probability of fatality or injury occurrence in flash flooding: a rare event logistic regression predictive model

https://doi.org/10.1007/s11069-023-05845-x

Chang, Shi; Wilkho, Rohan Singh; Gharaibeh, Nasir; Sansom, Garett; Meyer, Michelle; Olivera, Francisco; Zou, Lei (April 2023, Natural Hazards)

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Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos

https://doi.org/10.2352/ISSN.2470-1173.2019.11.IPAS-264

Yiling Qiao, Chang Shi (January 2019, Electronic Imaging)

Semi-supervised learning uses underlying relationships in data with a scarcity of ground-truth labels. In this paper, we introduce an uncertainty quantification (UQ) method for graph-based semi-supervised multi-class classification problems. We not only predict the class label for each data point, but also provide a confidence score for the prediction. We adopt a Bayesian approach and propose a graphical multi-class probit model together with an effective Gibbs sampling procedure. Furthermore, we propose a confidence measure for each data point that correlates with the classification performance. We use the empirical properties of the proposed confidence measure to guide the design of a humanin-the-loop system. The uncertainty quantification algorithm and the human-in-the-loop system are successfully applied to classification problems in image processing and ego-motion analysis of body-worn videos.
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) ¹

https://doi.org/10.1080/15548627.2020.1797280

Klionsky, Daniel J.; Abdel-Aziz, Amal Kamal; Abdelfatah, Sara; Abdellatif, Mahmoud; Abdoli, Asghar; Abel, Steffen; Abeliovich, Hagai; Abildgaard, Marie H.; Abudu, Yakubu Princely; Acevedo-Arozena, Abraham; et al (January 2021, Autophagy)

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