James D. Malley

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 4

Top Topics

Data Mining Community

Polynomial Regression

Interaction Networks

Top Venues

Publications

Evanjelin Mahmoodi, Anthony M. Musolf, James D. Malley, Daniel S. Kiser, Dwight Stambolian, Qing Li, Joan E. Bailey-Wilson
Entanglement Mapping: A Novel Method to Detect Interacting SNPs in Genome-Wide Studies. CIBCB (2022)
Jing Li, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Detecting gene-gene interactions using a permutation-based random forest method. BioData Min. 9 (2016)
Gérard Biau, Aurélie Fischer, Benjamin Guedj, James D. Malley
COBRA: A combined regression strategy. J. Multivar. Anal. 146 (2016)
Silke Szymczak, Emily Rose Holzinger, Abhijit Dasgupta, James D. Malley, Anne M. Molloy, James L. Mills, Lawrence C. Brody, Dwight Stambolian, Joan E. Bailey-Wilson
r2VIM: A new variable selection method for random forests in genome-wide association studies. BioData Min. 9 (2016)
Emily Rose Holzinger, Silke Szymczak, Abhijit Dasgupta, James D. Malley, Qing Li, Joan E. Bailey-Wilson
Variable Selection Method for the Identification of Epistatic Models. Pacific Symposium on Biocomputing (2015)
James D. Malley, Anthony R. Fletcher
POVMs and the Two Theorems of Naimark and Sz.-Nagy. Axioms 4 (3) (2015)
James D. Malley
Classical Probability and Quantum Outcomes. Axioms 3 (2) (2014)
Hemant Ishwaran, James D. Malley
Synthetic learning machines. BioData Min. 7 (2014)
James D. Malley, Jason H. Moore
First complex, then simple. BioData Min. 7 (2014)
James D. Malley, Jason H. Moore
Innovation is often unnerving: the door into summer. BioData Min. 7 (2014)
Abhijit Dasgupta, Silke Szymczak, Jason H. Moore, Joan E. Bailey-Wilson, James D. Malley
Risk estimation using probability machines. BioData Min. 7 (2014)
James D. Malley, Anthony R. Fletcher
Joint Distributions and Quantum Nonlocal Models. Axioms 3 (2) (2014)
James D. Malley, Karen G. Malley, Jason H. Moore
O brave new world that has such machines in it. BioData Min. 7 (2014)
Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Supervising Random Forest Using Attribute Interaction Networks. EvoBIO (2013)
James D. Malley, Jason H. Moore
The disconnect between classical biostatistics and the biological data mining community. BioData Min. 6 (2013)
James D. Malley, Abhijit Dasgupta, Jason H. Moore
The limits of p-values for biological data mining. BioData Min. 6 (2013)
Kristin K. Nicodemus, James D. Malley, Carolin Strobl, Andreas Ziegler
The behaviour of random forest permutation-based variable importance measures under predictor correlation. BMC Bioinform. 11 (2010)
Kristin K. Nicodemus, James D. Malley
Predictor correlation impacts machine learning algorithms: implications for genomic studies. Bioinform. 25 (15) (2009)
Inke R. König, James D. Malley, Sinisa Pajevic, Christian Weimar, Hans-Christoph Diener, Andreas Ziegler
Patient-centered yes/no prognosis using learning machines. Int. J. Data Min. Bioinform. 2 (4) (2008)
Anna K. Jerebko, James D. Malley, Marek Franaszek, Ronald M. Summers
Computer aided polyp detection in CT colonography using an ensemble of support vector machines. CARS (2003)
Anna K. Jerebko, James D. Malley, Marek Franaszek, Ronald M. Summers
Multi network classification scheme for detection of colonic polyps in CT colonography data sets. ISBI (2002)
Alexa T. McCray, Olivier Bodenreider, James D. Malley, Allen C. Browne
Evaluating UMLS strings for natural language processing. AMIA (2001)
Ronald M. Summers, Anna K. Jerebko, Marek Franaszek, James D. Malley
An integrated system for computer-aided diagnosis in CT colonography: work in progress. CARS (2001)
Ronald M. Summers, Lynne M. Pusanik, James D. Malley
Automatic detection of endobronchial lesions using virtual bronchoscopy: comparison of two methods. Medical Imaging: Image Processing (1998)