Richard Baumgartner

According to our database1, Richard Baumgartner authored at least 26 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Challenges in Variable Importance Ranking Under Correlation.
CoRR, 2024

2023
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Target alignment in truncated kernel ridge regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Learning to Profile Measles Outbreak Risk for US Counties.
Proceedings of the AMIA 2022, 2022

2021
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning.
CoRR, 2021

2020
(Decision and regression) tree ensemble based kernels for regression and classification.
CoRR, 2020

Random Forest (RF) Kernel for Regression, Classification and Survival.
CoRR, 2020

A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2013
Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI.
NeuroImage, 2013

2012
Modulation of CNS pain circuitry by intravenous and sublingual doses of buprenorphine.
NeuroImage, 2012

2010
A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI.
IEEE Trans. Medical Imaging, 2010

Improved characterization of BOLD responses for evoked sensory stimuli.
NeuroImage, 2010

2008
A multilevel tabu search algorithm for the feature selection problem in biomedical data.
Comput. Math. Appl., 2008

2006
Data complexity assessment in undersampled classification of high-dimensional biomedical data.
Pattern Recognit. Lett., 2006

2005
Identification of signatures in biomedical spectra using domain knowledge.
Artif. Intell. Medicine, 2005

Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

On Understanding and Assessing Feature Selection Bias.
Proceedings of the Artificial Intelligence in Medicine, 2005

Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra.
Proceedings of the Artificial Intelligence in Medicine, 2005

2004
A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data.
Proceedings of the Artificial Intelligence Methods And Tools For Systems Biology, 2004

Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns.
J. Biomed. Informatics, 2004

Control of Sparseness for Feature Selection.
Proceedings of the Structural, 2004

Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions.
Bioinform., 2003

Reducing the Overconfidence of Base Classifiers when Combining Their Decisions.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

2002
Comparison of Two Classification Methodologies on a Real-World Biomedical Problem.
Proceedings of the Structural, 2002

1999
Explorative signal processing in functional MR imaging.
Int. J. Imaging Syst. Technol., 1999


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