Modulo-2 Pi phase sequence estimation (Corresp.). - Louis L. Scharf; Dennis D. Cox; C. Johan Masreliez (IEEE Trans. Inf. Theory, 1980)

The Computational Modeling of Crystalline Materials Using a Stochastic Variational Principle. - Dennis D. Cox; Petr Kloucek; Daniel R. Reynolds (International Conference on Computational Science (2), 2002)

Optimal excitation wavelengths for discrimination of cervical neoplasia. - Sung K. Chang; Michele Follen; Anais Malpica; Urs Utzinger; Gregg Staerkel; Dennis D. Cox; E. Neely Atkinson; Calum MacAulay; Rebecca R. Richards-Kortum (IEEE Trans. Biomed. Eng., 2002)

On the asymptotically stochastic computational modeling of microstructures. - Dennis D. Cox; Petr Kloucek; Daniel R. Reynolds (Future Gener. Comput. Syst., 2004)

Convergence of Gibbs Measures Associated with Simulated Annealing. - Dennis D. Cox; Robert M. Hardt; Petr Kloucek (SIAM J. Math. Anal., 2008)

Robust smoothing: Smoothing parameter selection and applications to fluorescence spectroscopy. - Jong Soo Lee; Dennis D. Cox (Comput. Stat. Data Anal., 2010)

Prediction using hierarchical data: Applications for automated detection of cervical cancer. - Jose-Miguel Yamal; Martial Guillaud; E. Neely Atkinson; Michele Follen; Calum MacAulay; Scott B. Cantor; Dennis D. Cox (Stat. Anal. Data Min., 2015)

Boosted Tree Classifier for in Vivo Identification of Early Cervical Cancer using Multispectral Digital Colposcopy. - Nilgoon Zarei; Dennis D. Cox; Pierre Lane; Scott B. Cantor; E. Neely Atkinson; Jose-Miguel Yamal; Leonid Fradkin; Daniel Serachitopol; Sylvia Lam; Dirk Niekerk; Dianne Miller; Jessica McAlpine; et al. (BIOIMAGING, 2017)

Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study. - Hongxiao Zhu; Jeffrey S. Morris; Fengrong Wei; Dennis D. Cox (Comput. Stat. Data Anal., 2017)