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Jean-François Paiement
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2020 – today
- 2023
- [j6]Jessica Clark, Jean-François Paiement, Foster J. Provost:
Who's Watching TV? Inf. Syst. Res. 34(4): 1622-1640 (2023)
2010 – 2019
- 2018
- [j5]Mogeng Yin
, Madeleine Sheehan, Sidney Feygin, Jean-François Paiement, Alexei Pozdnoukhov:
A Generative Model of Urban Activities from Cellular Data. IEEE Trans. Intell. Transp. Syst. 19(6): 1682-1696 (2018) - 2014
- [j4]Xiaoxiao Shi
GBC: Gradient boosting consensus model for heterogeneous data. Stat. Anal. Data Min. 7(3): 161-174 (2014) - [i1]Haipeng Luo, Patrick Haffner, Jean-François Paiement:
Accelerated Parallel Optimization Methods for Large Scale Machine Learning. CoRR abs/1411.6725 (2014) - 2012
- [c7]Xiaoxiao Shi
Learning from Heterogeneous Sources via Gradient Boosting Consensus. SDM 2012: 224-235 - 2010
- [c6]Jaime Arguello, Fernando Diaz, Jean-François Paiement:
Vertical selection in the presence of unlabeled verticals. SIGIR 2010: 691-698
2000 – 2009
- 2009
- [j3]Jean-François Paiement, Samy Bengio, Douglas Eck:
Probabilistic models for melodic prediction. Artif. Intell. 173(14): 1266-1274 (2009) - [j2]Jean-François Paiement, Yves Grandvalet
Predictive models for music. Connect. Sci. 21(2&3): 253-272 (2009) - 2008
- [c5]Jean-François Paiement, Yves Grandvalet
A distance model for rhythms. ICML 2008: 736-743 - 2006
- [c4]Jean-François Paiement, Douglas Eck, Samy Bengio:
Probabilistic Melodic Harmonization. Canadian AI 2006: 218-229 - [p1]Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet:
Spectral Dimensionality Reduction. Feature Extraction 2006: 519-550 - 2005
- [c3]Jean-François Paiement, Douglas Eck, Samy Bengio, David Barber:
A graphical model for chord progressions embedded in a psychoacoustic space. ICML 2005: 641-648 - [c2]Jean-François Paiement, Douglas Eck, Samy Bengio:
A Probabilistic Model for Chord Progressions. ISMIR 2005: 312-319 - 2004
- [j1]Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet:
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA. Neural Comput. 16(10): 2197-2219 (2004) - 2003
- [c1]Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, Marie Ouimet:
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering. NIPS 2003: 177-184
Coauthor Index
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