James R. Gattiker

发表

Analysis of Multi-domain Complex Simulation Studies

James R. Gattiker, Earl Lawrence, David Higdon, 2006, ICCSA.

A synergistic model for interpreting human activities and events from video: a case study

Nikolaos G. Bourbakis, James R. Gattiker, George Bebis, 2000, Proceedings 12th IEEE Internationals Conference on Tools with Artificial Intelligence. ICTAI 2000.

Mining biomolecular data using background knowledge and artificial neural networks

James R. Gattiker, Jason T. L. Wang, Qicheng Ma, 2002 .

Comment on article by Sansó et al. [MR2383247]

James R. Gattiker, Dave Higdon, 2008 .

Gaussian Process-Based Sensitivity Analysis and Bayesian Model Calibration with GPMSA

James R. Gattiker, Andrew Hoegh, Dave Higdon, 2017 .

A Synergistic Model for Representing and Interpreting Human Activities and Events from Video

Nikolaos G. Bourbakis, James R. Gattiker, George Bebis, 2003, Int. J. Artif. Intell. Tools.

Anomaly Detection Enhanced Classification in Computer Intrusion Detection

James R. Gattiker, Mike Fugate, 2002, SVM.

Combining Observational and Computational Uncertainty in Calibration Experiments

Brian P. Weaver, James R. Gattiker, Robert Christian Foster, 2019 .

Parallel Bayesian Additive Regression Trees

James R. Gattiker, Hugh A. Chipman, David M. Higdon, 2013, 1309.1906.

A system for recognition and description of graphics

James R. Gattiker, S. Honnenahalli, Sing T. Bow, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

Bioinformatics - Introduction to the Special Issue

Jason Tsong-Li Wang, James R. Gattiker, Paul P. Wang, 2001, Inf. Sci..

Representing Structural and Functional Knowledge with Stochastic Petri Nets

James R. Gattiker, 1995, SEKE.

Mixed text/graphics images: automated text separation and graphics representation (A)

James R. Gattiker, Rangachar Kasturi, Jayesh D. Shah, 1987 .

Biocomputing - Introduction to the Special Issue

Jason Tsong-Li Wang, James R. Gattiker, 1999, Int. J. Artif. Intell. Tools.

Computer Intrusion Detection with Classification and Anomaly Detection, Using SVMs

James R. Gattiker, Mike Fugate, 2003, Int. J. Pattern Recognit. Artif. Intell..

Statistical Evaluation of the Impact of Background Suppression on the Sensitivity of Passive Radiation Detectors

Tom Burr, James R. Gattiker, George Tompkins, 2006 .

A System for Interpretation of Line Drawings

James R. Gattiker, Sing T. Bow, Rangachar Kasturi, 1990, IEEE Trans. Pattern Anal. Mach. Intell..

Genetic subtyping using cluster analysis

Tom Burr, James R. Gattiker, Gregory S. LaBerge, 2001, SKDD.

Calibration and UQ for the Development of Ocean Model Testbeds

James R. Gattiker, K. Sham Bhat, Matthew W. Hecht, 2013 .

Sequential Design of Experiments to Maximize Learning from Carbon Capture Pilot Plant Testing

Debangsu Bhattacharyya, Christine M. Anderson-Cook, James R. Gattiker, 2018 .

Using a Gaussian Process as a Nonparametric Regression Model

James R. Gattiker, David Higdon, Michael S. Hamada, 2016, Qual. Reliab. Eng. Int..

The potential of an observational data set for calibration of a computationally expensive computer model

James R. Gattiker, Peter G. Challenor, Doug McNeall, 2013 .

Hierarchical calibration of computer models

James R. Gattiker, Peter G. Challenor, David M Higdon, 2008 .

Computer Model Calibration Using the Ensemble Kalman Filter

James R. Gattiker, Earl Lawrence, David Higdon, 2012, Technometrics.

Comparing Emulation Methods for Computer Models with High Dimensional Output

James R. Gattiker, Bruno Sansó, Devin Francom, 2021 .

Calibration of Computational Models With Categorical Parameters and Correlated Outputs via Bayesian Smoothing Spline ANOVA

Curtis B. Storlie, James R. Gattiker, Emily M. Ryan, 2014, 1405.5297.

Assessing the probability of rare climate events

James R. Gattiker, Peter G. Challenor, Doug McNeall, 2010 .