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Publications by Todd Mlsna
Learning Accurate and Interpretable Models Based on Regularized Random Forests Regression
BMC Systems Biology
Molecular Biology
Applied Mathematics
Structural Biology
Simulation
Computer Science Applications
Modeling
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Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests
IEEE Transactions on Medical Imaging
Electronic Engineering
Ultrasound Technology
Radiological
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Electrical
Software
The Learning Rates of Regularized Regression Based on Reproducing Kernel Banach Spaces
Abstract and Applied Analysis
Applied Mathematics
Analysis
Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
An Accurate and Interpretable Model for BCCT.core
Making Nonlinear Manifold Learning Models Interpretable: The Manifold Grand Tour
Expert Systems with Applications
Engineering
Computer Science Applications
Artificial Intelligence
Anomaly Detection Based on Regularized Vector Auto Regression in Thermal Power Plant
MATEC Web of Conferences
Materials Science
Engineering
Chemistry
Regularized Least-Square Optimization Method for Variable Selection in Regression Models
Математички билтен/BULLETIN MATHÉMATIQUE DE LA SOCIÉTÉ DES MATHÉMATICIENS DE LA RÉPUBLIQUE MACÉDOINE
A New Image Watermarking Technique Based on Random Forests
Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features
PLoS ONE
Multidisciplinary
