Richard Baumgartner

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 11

Top Topics

Kernel Matrices

Gradient Boosting

Supervised Learning

Top Venues

Publications

Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski
Challenges in Variable Importance Ranking Under Correlation. CoRR (2024)
Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. ISBI (2023)
Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. CoRR (2023)
Arash A. Amini, Richard Baumgartner, Dai Feng
Target alignment in truncated kernel ridge regression. NeurIPS (2022)
Arash A. Amini, Richard Baumgartner, Dai Feng
Target alignment in truncated kernel ridge regression. CoRR (2022)
Boshu Ru, Stephanie Kujawski, Amar Das, Nelson Afanador, Richard Baumgartner, Manjiri Pawaskar
Unsupervised Learning to Profile Measles Outbreak Risk for US Counties. AMIA (2022)
Dai Feng, Richard Baumgartner
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning. CoRR (2021)
Dai Feng, Richard Baumgartner
Random Forest (RF) Kernel for Regression, Classification and Survival. CoRR (2020)
Dai Feng, Richard Baumgartner
(Decision and regression) tree ensemble based kernels for regression and classification. CoRR (2020)
Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. ISBI (2020)
Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher
A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials. CoRR (2020)
Mark Fiecas, Hernando Ombao, Dan van Lunen, Richard Baumgartner, Alexandre Coimbra, Dai Feng
Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI. NeuroImage 65 (2013)
Jaymin Upadhyay, Julie W. Anderson, Richard Baumgartner, Alexandre Coimbra, Adam J. Schwarz, Gautam V. Pendse, Diana Wallin, Lauren Nutile, James Bishop, Edward George, Igor Elman, Soujanya Sunkaraneni, Gary Maier, Smriti Iyengar, Jeffrey L. Evelhoch, David Bleakman, Richard Hargreaves, Lino Becerra, David Borsook
Modulation of CNS pain circuitry by intravenous and sublingual doses of buprenorphine. NeuroImage 59 (4) (2012)
Gautam V. Pendse, Richard Baumgartner, Adam J. Schwarz, Alexandre Coimbra, David Borsook, Lino Becerra
A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI. IEEE Trans. Medical Imaging 29 (9) (2010)
Jaymin Upadhyay, Gautam V. Pendse, Julie W. Anderson, Adam J. Schwarz, Richard Baumgartner, Alexandre Coimbra, James Bishop, Jamie Knudsen, Edward George, Igor D. Grachev, Smriti Iyengar, David Bleakman, Richard Hargreaves, David Borsook, Lino Becerra
Improved characterization of BOLD responses for evoked sensory stimuli. NeuroImage 49 (3) (2010)
Idowu O. Oduntan, Michel Toulouse, Richard Baumgartner, Christopher Bowman, Ray L. Somorjai, Teodor Gabriel Crainic
A multilevel tabu search algorithm for the feature selection problem in biomedical data. Comput. Math. Appl. 55 (5) (2008)
Richard Baumgartner, Ray L. Somorjai
Data complexity assessment in undersampled classification of high-dimensional biomedical data. Pattern Recognit. Lett. 27 (12) (2006)
Erinija Pranckeviciene, Ray L. Somorjai, Richard Baumgartner, Moongu Jeon
Identification of signatures in biomedical spectra using domain knowledge. Artif. Intell. Medicine 35 (3) (2005)
Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai
Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra. Multiple Classifier Systems (2005)
A. Bamgbade, Ray L. Somorjai, Brion Dolenko, Erinija Pranckeviciene, Aleksander E. Nikulin, Richard Baumgartner
Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra. AIME (2005)
Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai
On Understanding and Assessing Feature Selection Bias. AIME (2005)
Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai
Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra. ICPR (2) (2004)
Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai, Christopher Bowman
Control of Sparseness for Feature Selection. SSPR/SPR (2004)
Ray L. Somorjai, Brion Dolenko, Aleksander B. Demko, Marina Mandelzweig, Aleksander E. Nikulin, Richard Baumgartner, Nicolino J. Pizzi
Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns. J. Biomed. Informatics 37 (5) (2004)
Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner
Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. Multiple Classifier Systems (2003)
Ray L. Somorjai, B. Dolenko, Richard Baumgartner
Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. Bioinform. 19 (12) (2003)
Ray L. Somorjai, Arunas Janeliunas, Richard Baumgartner, Sarunas Raudys
Comparison of Two Classification Methodologies on a Real-World Biomedical Problem. SSPR/SPR (2002)
Ewald Moser, Richard Baumgartner, Markus Barth, Christian Windischberger
Explorative signal processing in functional MR imaging. Int. J. Imaging Syst. Technol. 10 (2) (1999)