Publications by Vlad Popovici | EPFL Graph Search

Rgtsp: a generalized top scoring pairs package for class prediction

A top scoring pair (TSP) classifier consists of a pair of variables whose relative ordering can be used for accurately predicting the class label of a sample. This classification rule has the advantage of being easily interpretable and more robust against ...

Oxford University Press2011

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Darlene Goldstein, Chenxu Zhao, Mauro Delorenzi, Li Zhang, Vlad Popovici, Jun Luo, Wen Luo, Wei Wang, Ying Liu, Jonathan Koh Boon Han

Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to gene ...

Nature Publishing Group2010

Effect of training-sample size and classification difficulty on the accuracy of genomic predictors

Mauro Delorenzi, Vlad Popovici

Introduction: As part of the MicroArray Quality Control (MAQC)-II project, this analysis examines how the choice of univariate feature-selection methods and classification algorithms may influence the performance of genomic predictors under varying degrees ...

2010

Mutant Kras And Braf Gene Expression Profiles In Colorectal Cancer: Results Of The Translational Study On The Petacc 3-Eortc 40993-Sakk 60-00 Trial

Vlad Popovici

2010

Selecting control genes for RT-QPCR using public microarray data

Darlene Goldstein, Mauro Delorenzi, Vlad Popovici

Background: Gene expression analysis has emerged as a major biological research area, with real-time quantitative reverse transcription PCR (RT-QPCR) being one of the most accurate and widely used techniques for expression profiling of selected genes. In o ...

2009

Prognostic factors for breast cancer - clinical testing and validation from archival material

Vlad Popovici

2009

Extraction of audio features specific to speech production for multimodal speaker detection

Jean-Philippe Thiran, Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) between the resulting audio and video features allows the detection of the activ ...

2008

Face Detection with Boosted Gaussian Features

Jean-Philippe Thiran, Vlad Popovici, Julien Meynet

Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult task because of the large face intra-class variability which is due to the imp ...

2007

Mixtures of Boosted Classifiers for Frontal Face Detection

Jean-Philippe Thiran, Vlad Popovici, Julien Meynet

This paper describes a new approach to automatic frontal face detection which employs Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperforms the current ...

2007

Kernel Matching Pursuit for Large Datasets

Jean-Philippe Thiran, Vlad Popovici

Kernel matching pursuit is a greedy algorithm for building an approximation of a discriminant function as a linear combination of some basis functions selected from a kernel-induced dictionary. Here we propose a modification of the kernel matching pursuit ...

2005