Pierre Mahé

According to our database, Pierre Mahé authored at least 16 papers between 2004 and 2022.

Collaborative distances:

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

2022

Codage Ambisonique pour les Communications Immersives. (Ambisonic Coding for Immersive Communications).

Pierre Mahé

PhD thesis, 2022

2020

Ambisonic Coding with Spatial Image Correction.

Pierre Mahé, Stéphane Ragot, Sylvain Marchand, Jérôme Daniel

Proceedings of the 28th European Signal Processing Conference, 2020

2018

Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection.

Pierre Mahé, Maud Tournoud

BMC Bioinform., 2018

Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry.

Amna Klich, Catherine Mercier, Laurent Gerfault, Pierre Grangeat, Corinne Beaulieu, Elodie Degout-Charmette, Tanguy Fortin, Pierre Mahé, Jean-François Giovannelli, Jean-Philippe Charrier, Audrey Giremus, Delphine Maucort-Boulch, Pascal Roy

BMC Bioinform., 2018

2016

Large-scale machine learning for metagenomics sequence classification.

Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert

Bioinform., 2016

2015

Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data.

Kevin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras, Jean-Philippe Vert

CoRR, 2015

2014

Automatic identification of mixed bacterial species fingerprints in a MALDI-TOF mass-spectrum.

Pierre Mahé, Maud Arsac, Sonia Chatellier, Valérie Monnin, Nadine Perrot, Sandrine Mailler, Victoria Girard, Mahendrasingh Ramjeet, Jérémy Surre, Bruno Lacroix, Alex van Belkum, Jean-Baptiste Veyrieras

Bioinform., 2014

Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem.

Pascal Szacherski, Jean-François Giovannelli, Laurent Gerfault, Pierre Mahé, Jean-Philippe Charrier, Audrey Giremus, Bruno Lacroix, Pierre Grangeat

IEEE Access, 2014

On Learning Matrices with Orthogonal Columns or Disjoint Supports.

Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

MicroMass.

Pierre Mahé, Jean-Baptiste Veyrieras

Dataset, August, 2013

2009

Graph kernels based on tree patterns for molecules.

Pierre Mahé, Jean-Philippe Vert

Mach. Learn., 2009

Factored sequence kernels.

Nicola Cancedda, Pierre Mahé

Neurocomputing, 2009

2007

Virtual screening with support vector machines and structure kernels

Pierre Mahé, Jean-Philippe Vert

CoRR, 2007

2006

The Pharmacophore Kernel for Virtual Screening with Support Vector Machines.

Pierre Mahé, Liva Ralaivola, Véronique Stoven, Jean-Philippe Vert

J. Chem. Inf. Model., 2006

2005

Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines.

Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert

J. Chem. Inf. Model., 2005

2004

Extensions of marginalized graph kernels.

Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert

Proceedings of the Machine Learning, 2004