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Pierre Mahé
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2020 – today
- 2022
- [b1]Pierre Mahé:
Codage Ambisonique pour les Communications Immersives. (Ambisonic Coding for Immersive Communications). University of La Rochelle, France, 2022 - 2020
- [c4]Pierre Mahé, Stéphane Ragot, Sylvain Marchand, Jérôme Daniel:
Ambisonic Coding with Spatial Image Correction. EUSIPCO 2020: 471-475
2010 – 2019
- 2018
- [j9]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:
Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry. BMC Bioinform. 19(1): 73:1-73:12 (2018) - [j8]Pierre Mahé, Maud Tournoud:
Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection. BMC Bioinform. 19(1): 383:1-383:11 (2018) - 2016
- [j7]Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Large-scale machine learning for metagenomics sequence classification. Bioinform. 32(7): 1023-1032 (2016) - 2015
- [i3]Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Large-scale Machine Learning for Metagenomics Sequence Classification. CoRR abs/1505.06915 (2015) - [i2]Kevin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data. CoRR abs/1506.07251 (2015) - 2014
- [j6]Pascal Szacherski, Jean-François Giovannelli, Laurent Gerfault, Pierre Mahé, Jean-Philippe Charrier, Audrey Giremus, Bruno Lacroix, Pierre Grangeat:
Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem. IEEE Access 2: 1248-1262 (2014) - [j5]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:
Automatic identification of mixed bacterial species fingerprints in a MALDI-TOF mass-spectrum. Bioinform. 30(9): 1280-1286 (2014) - [c3]Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
On Learning Matrices with Orthogonal Columns or Disjoint Supports. ECML/PKDD (3) 2014: 274-289 - 2013
- [d1]Pierre Mahé, Jean-Baptiste Veyrieras:
MicroMass. UCI Machine Learning Repository, 2013
2000 – 2009
- 2009
- [j4]Nicola Cancedda, Pierre Mahé:
Factored sequence kernels. Neurocomputing 72(7-9): 1407-1413 (2009) - [j3]Pierre Mahé, Jean-Philippe Vert:
Graph kernels based on tree patterns for molecules. Mach. Learn. 75(1): 3-35 (2009) - 2008
- [c2]Pierre Mahé, Nicola Cancedda:
Factored sequence kernels. ESANN 2008: 409-414 - 2007
- [i1]Pierre Mahé, Jean-Philippe Vert:
Virtual screening with support vector machines and structure kernels. CoRR abs/0708.0171 (2007) - 2006
- [j2]Pierre Mahé, Liva Ralaivola, Véronique Stoven, Jean-Philippe Vert:
The Pharmacophore Kernel for Virtual Screening with Support Vector Machines. J. Chem. Inf. Model. 46(5): 2003-2014 (2006) - 2005
- [j1]Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert:
Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines. J. Chem. Inf. Model. 45(4): 939-951 (2005) - 2004
- [c1]Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert:
Extensions of marginalized graph kernels. ICML 2004
Coauthor Index
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