A hierarchical bayesian network model for flood resilience quantification of housing infrastructure systems

MK Sen, S Dutta, JI Laskar - ASCE-ASME Journal of Risk and …, 2021 - ascelibrary.org
Resilience is defined as the capacity of a system to withstand a natural hazard and to regain
desirable performance after the occurrence of such disasters. Natural hazards, such as …

Fusing multiple Bayesian knowledge sources

E Santos Jr, JT Wilkinson, EE Santos - International Journal of Approximate …, 2011 - Elsevier
We address the problem of information fusion in uncertain environments. Imagine there are
multiple experts building probabilistic models of the same situation and we wish to …

[PDF][PDF] Bayesian knowledge fusion

E Santos, JT Wilkinson, EE Santos - Twenty-Second International …, 2009 - cdn.aaai.org
We address the problem of information fusion in uncertain environments. Imagine there are
multiple experts building probabilistic models of the same situation and we wish to …

Analyzing medical guideline dissemination behaviors using culturally infused agent based modeling framework

EE Santos, J Korah, S Subramanian… - IEEE journal of …, 2021 - ieeexplore.ieee.org
Clinical practice guidelines are a critical medium for the standardization of practices within
the overall medical community. However, several studies have shown that, in general, there …

Zone2vec: Distributed representation learning of urban zones

J Du, Y Chen, Y Wang, J Pu - 2018 24th International …, 2018 - ieeexplore.ieee.org
A metropolis consists of zones segmented by major roads. People travel between zones to
conduct social activities. To analyze the characteristics of the entire city, we can explore …

Implicitly preserving semantics during incremental knowledge base acquisition under uncertainty

E Santos Jr, ES Santos, SE Shimony - International Journal of Approximate …, 2003 - Elsevier
New knowledge is incrementally introduced to an existing knowledge base in a typical
knowledge-engineering cycle. Unfortunately, at most given stages, the knowledge base is …

Automatic emergence detection in complex systems

E Santos Jr, Y Zhao - Complexity, 2017 - Wiley Online Library
Complex systems consist of multiple interacting subsystems, whose nonlinear interactions
can result in unanticipated (emergent) system events. Extant systems analysis approaches …

Modeling complex social scenarios using culturally infused social networks

EE Santos, E Santos, JT Wilkinson… - … on Systems, Man …, 2011 - ieeexplore.ieee.org
Modeling complex real world scenarios require representing and analyzing information from
multiple domains including social, economic and political aspects. However, most of the …

On a framework for the prediction and explanation of changing opinions

EE Santos, E Santos, JT Wilkinson… - 2009 IEEE International …, 2009 - ieeexplore.ieee.org
One of the greatest challenges in accurately modeling a human system is the integration of
dynamic, fine-grained information in a meaningful way. A model must allow for reasoning in …

Face recognition base on low dimension Gabor feature using direct fractional-step LDA

ZY Mei, ZX Ming - International Conference on Computer …, 2005 - ieeexplore.ieee.org
A novel approach of Gabor feature based face recognition approach is presented in this
paper. Gabor wavelet is a very powerful tool to analyze the texture of an image. Due to its …