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Publications by Shamitha Dissanayake
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
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The Learning Rates of Regularized Regression Based on Reproducing Kernel Banach Spaces
Abstract and Applied Analysis
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Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression
Lecture Notes in Computer Science
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An Accurate and Interpretable Model for BCCT.core
Making Nonlinear Manifold Learning Models Interpretable: The Manifold Grand Tour
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Anomaly Detection Based on Regularized Vector Auto Regression in Thermal Power Plant
MATEC Web of Conferences
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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
