Marc Claesen

According to our database, Marc Claesen authored at least 8 papers between 2014 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2015

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

PhD thesis, 2015

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

Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor

Neurocomputing, 2015

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

Marc Claesen, Frank De Smet, Pieter Gillard, Chantal Mathieu, Bart De Moor

CoRR, 2015

Hyperparameter Search in Machine Learning.

Marc Claesen, Bart De Moor

CoRR, 2015

Assessing binary classifiers using only positive and unlabeled data.

Marc Claesen, Jesse Davis, Frank De Smet, Bart De Moor

CoRR, 2015

2014

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

Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor

J. Mach. Learn. Res., 2014

Fast Prediction with SVM Models Containing RBF Kernels.

Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor

CoRR, 2014

Easy Hyperparameter Search Using Optunity.

Marc Claesen, Jaak Simm, Dusan Popovic, Yves Moreau, Bart De Moor

CoRR, 2014