全部文献期刊会议图书|学者科研项目
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作者:Raffaella Settimi , Daniela S. Raicu
来源:[J].Surgery(IF 3.373), 2016, Vol.160 (4), pp.839-849
摘要:Background(#br)Our objective was to determine the hospital resources required for low-volume, high-quality care at high-volume cancer resection centers.(#br)Methods(#br)Patients who underwent esophageal, pancreatic, and rectal resection for malignancy were identified using H...
作者:Paola Sebastiani , Raffaella Settimi
来源:[J].Journal of Statistical Planning and Inference(IF 0.713), 1998, Vol.74 (1), pp.177-192
摘要:Abstract(#br)This paper presents D-optimal experimental designs for a variety of non-linear models which depend on an arbitrary number of covariates but assume a positive prior mean and a Fisher information matrix satisfying particular properties. It is argued that these optimal ...
作者:Paola Sebastiani , Raffaella Settimi
来源:[J].Journal of Statistical Planning and Inference(IF 0.713), 1997, Vol.59 (2), pp.359-368
摘要:Abstract(#br)We prove that a 2 point design suggested by Ford et al. ( J.Roy. Statist. Soc. Ser B54 (1992), 569–583 ) for a simple logistic regression model is D-optimal. We also propose designs which give efficient alternatives to the D-optimal designs and require less info...
作者:Raffaella Settimi , Xuchang Zou
来源:[J].Requirements Engineering(IF 1.054), 2007, Vol.12 (2), pp.103-120
摘要:Abstract(#br)This paper describes a technique for automating the detection and classification of non-functional requirements related to properties such as security, performance, and usability. Early detection of non-functional requirements enables them to be incorporated int...
作者:Xuchang Zou , Raffaella Settimi , Jane Cleland-Huang
来源:[J].Empirical Software Engineering(IF 1.18), 2010, Vol.15 (2), pp.119-146
摘要:Abstract(#br)Automated requirements traceability methods that utilize Information Retrieval (IR) methods to generate and maintain traceability links are often more efficient than traditional manual approaches, however the traces they generate are imprecise and significant human e...
作者:Raffaella Settimi , Jim Q. Smith
来源:[J].The Annals of Statistics(IF 2.528), 2000, Vol.28 (4), pp.1179-1205
摘要:We study the geometry of the parameter space for Bayesian directedgraphical models with hidden variables that have a tree structure and where allthe nodes are binary.We show that the conditional independence statementsimplicit in such models can be expressed in terms of polynomia...
作者:Raffaella Settimi , Jim Q. Smith
来源:[J].The Annals of Statistics(IF 2.528), 2000, Vol.28 (4), pp.1179-1205
摘要:We study the geometry of the parameter space for Bayesian directed graphical models with hidden variables that have a tree structure and where all the nodes are binary. We show that the conditional independence statements implicit in such models can be expressed in terms of polyn...
作者:Raffaella Settimi , Jim Q. Smith
来源:[J].Journal of Forecasting, 2000, Vol.19 (2), pp.135-148
摘要:Abstract(#br)We present the results on the comparison of efficiency of approximate Bayesian methods for the analysis and forecasting of non‐Gaussian dynamic processes. A numerical algorithm based on MCMC methods has been developed to carry out the Bayesian analysis of non‐li...
作者:Jim Q. Smith , Raffaella Settimi
来源:[J].Journal of Forecasting, 1997, Vol.16 (5), pp.375-393
摘要:Abstract(#br)In this paper we define two new properties—linear observability and L ‐observability—to aid the study of overspecification and unidentifiability in quasi‐linear and non‐linear state space time series. Various equivalence results are proved and illustra...
作者:Raffaella Settimi , Nasim Sonboli
来源:[J].ACM SIGKDD Explorations Newsletter, 2019, Vol.21 (1), pp.49-52
摘要:In this article, we describe DePaul University's summer data science academy for Chicago Public School students which was, in part, funded through the SIGKDD Impact Award program in 2018. The goal of the academy was to increase awareness about data science among high school stude...

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