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Featured Co-authors

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Length of Stay prediction for Hospital Management using Domain Adaptation

Inpatient length of stay (LoS) is an important managerial metric which i...

0 Lyse Naomi Wamba Momo, et al. ∙

∙ 05/26/2023

Duality in Multi-View Restricted Kernel Machines

We propose a unifying setting that combines existing restricted kernel m...

0 Sonny Achten, et al. ∙

∙ 04/28/2023

Client Recruitment for Federated Learning in ICU Length of Stay Prediction

Machine and deep learning methods for medical and healthcare application...

0 Vincent Scheltjens, et al. ∙

∙ 01/24/2023

Multi-view Kernel PCA for Time series Forecasting

In this paper, we propose a kernel principal component analysis model fo...

0 Arun Pandey, et al. ∙

∙ 04/06/2021

Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks

Commonly, machine learning models minimize an empirical expectation. As ...

0 Joachim Schreurs, et al. ∙

∙ 06/16/2020

The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks

Generative Adversarial Networks (GANs) are performant generative methods...

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∙ 03/08/2018

Applicability and interpretation of the deterministic weighted cepstral distance

Quantifying similarity between data objects is an important part of mode...

0 Oliver Lauwers, et al. ∙

∙ 03/06/2017

A time series distance measure for efficient clustering of input output signals by their underlying dynamics

Starting from a dataset with input/output time series generated by multi...

0 Oliver Lauwers, et al. ∙

∙ 04/28/2015

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

Early diagnosis is important for type 2 diabetes (T2D) to improve patien...

0 Marc Claesen, et al. ∙

∙ 04/26/2015

Assessing binary classifiers using only positive and unlabeled data

Assessing the performance of a learned model is a crucial part of machin...

0 Marc Claesen, et al. ∙

∙ 02/07/2015

Hyperparameter Search in Machine Learning

We introduce the hyperparameter search problem in the field of machine l...

0 Marc Claesen, et al. ∙

∙ 03/04/2014

EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines

EnsembleSVM is a free software package containing efficient routines to ...

0 Marc Claesen, et al. ∙

∙ 03/04/2014

Fast Prediction with SVM Models Containing RBF Kernels

We present an approximation scheme for support vector machine models tha...

0 Marc Claesen, et al. ∙

∙ 02/13/2014

A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models

We present a novel approach to learn binary classifiers when only positi...

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