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A framework to automate physical demand analysis based on artificial intelligence and motion capture for workplace safety improvement
DownloadFall 2022
Workers' safety and productivity and its affecting factors, such as ergonomics, are essential aspects of construction projects. Applying ergonomics and realizing the connections among workers and their assigned tasks have indicated a decrease in workers' injuries and discomforts, a beneficial...
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Beyond Static Classification: Long-term Fairness for Minority Groups via Performative Prediction and Distributionally Robust Optimization
DownloadFall 2022
In recent years machine learning (ML) models have begun to be deployed at enormous scales, but too often without adequate concern for whether or not an ML model will make fair decisions. Fairness in ML is a burgeoning research area, but work to define formal fairness criteria has some serious...
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Fall 2016
Survival data is mostly analyzed using Cox proportional hazards model to identify factors associated with survival time of patients. However recently random survival forest (RSF), a non-parametric method for ensemble estimation constructed by bagging of classification trees for survival data, is...
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Dollars or Cents: Impacts of Rescaling Data on a Mixed Logit Model with Normally and Lognormally Distributed Coefficients
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It is a common practice to rescale data to assist the model estimation process. This paper describes a case where care is called upon when interpreting the results after rescaling. The case is shown as associated with the lognormally distributed coefficient in a mixed logit model. Implications of...
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2019-01-01
Vadim Bulitko, Sean Caulfield, Astrid Ensslin, Daniel Evans, Gillian Harvey, Scott Smallwood, Daniel Laforest, Brad Necyk, Marilène Oliver, Aidan Rowe, Isabelle Van Grimde, Jonathan Garfinkel, Tess Heinricks, Marilene Oliver, Blaine Campbell
DYSCORPIA: Future Intersections of the Body and Technology was a two-year interdisciplinary research project that brought together scholars from art and design, music, digital and medical humanities, radiology, computer science and contemporary dance in order to question what it means not to know...
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Fall 2010
The Wireless Sensor Networks (WSNs) have emerged as a new paradigm for collecting and processing data from physical environments, such as wild life sanctuaries, large warehouses, and battlefields. Users can access sensor data by issuing queries over the network, e.g., to find what are the 10...
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Enhanced Model Tree Application Framework for Developing Interpretable AI in Construction Engineering
DownloadFall 2020
The construction industry has been and continues to be overflown with data. Scholars have no problems dealing with this phenomenon through the incorporation of artificial intelligence (AI) methods like neural networks or random forests. However, when the time comes to practical application, the...