Automatic detection of endobronchial lesions using virtual bronchoscopy: comparison of two methods. - Ronald M. Summers; Lynne M. Pusanik; James D. Malley (Image Processing, 1998)

Evaluating UMLS strings for natural language processing. - Alexa T. McCray; Olivier Bodenreider; James D. Malley; Allen C. Browne (AMIA, 2001)

An integrated system for computer-aided diagnosis in CT colonography: work in progress. - Ronald M. Summers; Anna K. Jerebko; Marek Franaszek; James D. Malley (CARS, 2001)

Multi network classification scheme for detection of colonic polyps in CT colonography data sets. - Anna K. Jerebko; James D. Malley; Marek Franaszek; Ronald M. Summers (ISBI, 2002)

Computer aided polyp detection in CT colonography using an ensemble of support vector machines. - Anna K. Jerebko; James D. Malley; Marek Franaszek; Ronald M. Summers (CARS, 2003)

Patient-centered yes/no prognosis using learning machines. - Inke R. König; James D. Malley; Sinisa Pajevic; Christian Weimar; Hans-Christoph Diener; Andreas Ziegler 001 (Int. J. Data Min. Bioinform., 2008)

Predictor correlation impacts machine learning algorithms: implications for genomic studies. - Kristin K. Nicodemus; James D. Malley (Bioinform., 2009)

The behaviour of random forest permutation-based variable importance measures under predictor correlation. - Kristin K. Nicodemus; James D. Malley; Carolin Strobl; Andreas Ziegler 001 (BMC Bioinform., 2010)

Supervising Random Forest Using Attribute Interaction Networks. - Qinxin Pan; Ting Hu 001; James D. Malley; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (EvoBIO, 2013)

The limits of p-values for biological data mining. - James D. Malley; Abhijit Dasgupta 003; Jason H. Moore (BioData Min., 2013)

The disconnect between classical biostatistics and the biological data mining community. - James D. Malley; Jason H. Moore (BioData Min., 2013)

Classical Probability and Quantum Outcomes. - James D. Malley (Axioms, 2014)

Joint Distributions and Quantum Nonlocal Models. - James D. Malley; Anthony R. Fletcher (Axioms, 2014)

Risk estimation using probability machines. - Abhijit Dasgupta 003; Silke Szymczak; Jason H. Moore; Joan E. Bailey-Wilson; James D. Malley (BioData Min., 2014)

Synthetic learning machines. - Hemant Ishwaran; James D. Malley (BioData Min., 2014)

Innovation is often unnerving: the door into summer. - James D. Malley; Jason H. Moore (BioData Min., 2014)

First complex, then simple. - James D. Malley; Jason H. Moore (BioData Min., 2014)

O brave new world that has such machines in it. - James D. Malley; Karen G. Malley; Jason H. Moore (BioData Min., 2014)

Variable Selection Method for the Identification of Epistatic Models. - Emily Rose Holzinger; Silke Szymczak; Abhijit Dasgupta 003; James D. Malley; Qing Li; Joan E. Bailey-Wilson (Pacific Symposium on Biocomputing, 2015)

POVMs and the Two Theorems of Naimark and Sz.-Nagy. - James D. Malley; Anthony R. Fletcher (Axioms, 2015)

Detecting gene-gene interactions using a permutation-based random forest method. - Jing Li; James D. Malley; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (BioData Min., 2016)

r2VIM: A new variable selection method for random forests in genome-wide association studies. - Silke Szymczak; Emily Rose Holzinger; Abhijit Dasgupta 003; James D. Malley; Anne M. Molloy; James L. Mills; Lawrence C. Brody; Dwight Stambolian; Joan E. Bailey-Wilson (BioData Min., 2016)

COBRA: A combined regression strategy. - Gérard Biau; Aurélie Fischer; Benjamin Guedj; James D. Malley (J. Multivar. Anal., 2016)

Entanglement Mapping: A Novel Method to Detect Interacting SNPs in Genome-Wide Studies. - Evanjelin Mahmoodi; Anthony M. Musolf; James D. Malley; Daniel S. Kiser; Dwight Stambolian; Qing Li; Joan E. Bailey-Wilson (CIBCB, 2022)