Identification of live or studio versions of a song via supervised learning. - Nicolas Auguin; Shilei Huang; Pascale Fung (APSIPA, 2013)

Multimodal music emotion classification using AdaBoost with decision stumps. - Dan Su 003; Pascale Fung; Nicolas Auguin (ICASSP, 2013)

Co-Training for Classification of Live or Studio Music Recordings. - Nicolas Auguin; Pascale Fung (LREC, 2014)

Robust shrinkage M-estimators of large covariance matrices. - Nicolas Auguin; David Morales-Jiménez; Matthew R. McKay; Romain Couillet (SSP, 2016)

Exact Statistical Characterization of $2 times2$ Gram Matrices with Arbitrary Variance Profile. - Nicolas Auguin; David Morales-Jiménez; Matthew R. McKay (CoRR, 2017)

Exact Statistical Characterization of 2×2 Gram Matrices with Arbitrary Variance Profile. - Nicolas Auguin; David Morales-Jiménez; Matthew R. McKay (IEEE Trans. Veh. Technol., 2017)

Large-Dimensional Behavior of Regularized Maronna's M-Estimators of Covariance Matrices. - Nicolas Auguin; David Morales-Jiménez; Matthew R. McKay; Romain Couillet (IEEE Trans. Signal Process., 2018)

Robust Linear Discriminant Analysis Using Tyler's Estimator: Asymptotic Performance Characterization. - Nicolas Auguin; David Morales-Jiménez; Matthew R. McKay (ICASSP, 2019)

Large-Dimensional Characterization of Robust Linear Discriminant Analysis. - Nicolas Auguin; David Morales-Jiménez; Matthew R. McKay (IEEE Trans. Signal Process., 2021)