Marc Claesen

发表

An Overview of the EnsembleSVM software package

Bart De Moor, Marc Claesen, 2014 .

Building Classifiers to Predict the Start of Glucose-Lowering Pharmacotherapy Using Belgian Health Expenditure Data pdf

Bart De Moor, Marc Claesen, Frank De Smet, 2015, ArXiv.

Hyperparameter tuning in Python using Optunity

Bart De Moor, Dusan Popovic, Marc Claesen, 2014 .

Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning

Marc Claesen, Wanqiu Zhang, Thomas Moerman, 2020, bioRxiv.

Fast Prediction with SVM Models Containing RBF Kernels pdf

Johan A. K. Suykens, Bart De Moor, Marc Claesen, 2014, ArXiv.

EnsembleSVM: a library for ensemble learning using support vector machines pdf

Johan A. K. Suykens, Bart De Moor, Marc Claesen, 2014, J. Mach. Learn. Res..

Hyperparameter Search in Machine Learning pdf

Bart De Moor, Marc Claesen, B. Moor, 2015, ArXiv.

Assessing binary classifiers using only positive and unlabeled data pdf

Bart De Moor, Jesse Davis, Marc Claesen, 2015, ArXiv.

Efficient ensemble learning with support vector machines

Johan A. K. Suykens, Bart De Moor, Marc Claesen, 2014 .

A FULLY AUTOMATED PIPELINE FOR CLASSIFICATION TASKS WITH AN APPLICATION TO REMOTE SENSING

Marc Claesen, H. Takeda, B. De Moor, 2016 .

Machine Learning on Belgian Health Expenditure Data: Data-driven Screening for Type 2 Diabetes; Machine learning op Belgische ziekenfondsgegevens: data-gedreven screening voor type 2 diabetes

Marc Claesen, 2015 .

A robust ensemble approach to learn from positive and unlabeled data using SVM base models pdf

Johan A. K. Suykens, Bart De Moor, Marc Claesen, 2014, Neurocomputing.

Easy Hyperparameter Search Using Optunity pdf

Bart De Moor, Yves Moreau, Dusan Popovic, 2014, ArXiv.