| Year |
Citation |
Score |
| 2019 |
Brochu F, Plante PL, Drouin A, Gagnon D, Richard D, Durocher F, Diorio C, Marchand M, Corbeil J, Laviolette F. Mass spectra alignment using virtual lock-masses. Scientific Reports. 9: 8469. PMID 31186508 DOI: 10.1038/S41598-019-44923-8 |
0.316 |
|
| 2019 |
Plante PL, Francovic-Fontaine É, May JC, McLean JA, Baker ES, Laviolette F, Marchand M, Corbeil J. Predicting Ion Mobility Collision Cross-Sections Using a Deep Neural Network: DeepCCS. Analytical Chemistry. PMID 30932474 DOI: 10.1021/Acs.Analchem.8B05821 |
0.313 |
|
| 2019 |
Drouin A, Letarte G, Raymond F, Marchand M, Corbeil J, Laviolette F. Interpretable genotype-to-phenotype classifiers with performance guarantees. Scientific Reports. 9: 4071. PMID 30858411 DOI: 10.1038/S41598-019-40561-2 |
0.428 |
|
| 2016 |
Drouin A, Giguère S, Déraspe M, Marchand M, Tyers M, Loo VG, Bourgault AM, Laviolette F, Corbeil J. Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons. Bmc Genomics. 17: 754. PMID 27671088 DOI: 10.1186/S12864-016-2889-6 |
0.309 |
|
| 2016 |
Ganin Y, Ustinova E, Ajakan H, Germain P, Larochelle H, Laviolette F, Marchand M, Lempitsky V. Domain-adversarial training of neural networks Journal of Machine Learning Research. 17: 1-35. DOI: 10.1007/978-3-319-58347-1_10 |
0.309 |
|
| 2015 |
Giguère S, Laviolette F, Marchand M, Tremblay D, Moineau S, Liang X, Biron É, Corbeil J. Machine learning assisted design of highly active peptides for drug discovery. Plos Computational Biology. 11: e1004074. PMID 25849257 DOI: 10.1371/Journal.Pcbi.1004074 |
0.383 |
|
| 2012 |
Shah M, Marchand M, Corbeil J. Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 174-186. PMID 21576745 DOI: 10.1109/Tpami.2011.82 |
0.397 |
|
| 2010 |
Laviolette F, Marchand M, Shah M, Shanian S. Learning the set covering machine by bound minimization and margin-sparsity trade-off Machine Learning. 78: 175-201. DOI: 10.1007/S10994-009-5137-3 |
0.386 |
|
| 2008 |
Laviolette F, Marchand M, Shanian S. Selective sampling for classification Artificial Intelligence. 191-202. DOI: 10.1007/978-3-540-68825-9_19 |
0.413 |
|
| 2005 |
Marchand M, Sokolova M. Learning with decision lists of data-dependent features Journal of Machine Learning Research. 6. |
0.308 |
|
| 1996 |
Golea M, Marchand M, Hancock TR. On learning μ-perceptron networks on the uniform distribution Neural Networks. 9: 67-80. DOI: 10.1016/0893-6080(95)00009-7 |
0.403 |
|
| 1994 |
Hancock TR, Golea M, Marchand M. Learning Nonoverlapping Perceptron Networks from Examples and Membership Queries Machine Learning. 16: 161-183. DOI: 10.1023/A:1022637108202 |
0.389 |
|
| 1993 |
Golea M, Marchand M. On learning perceptrons with binary weights Neural Computation. 5: 767-782. DOI: 10.1162/Neco.1993.5.5.767 |
0.388 |
|
| 1993 |
Marchand M, Golea M. On learning simple neural concepts: From halfspace intersections to neural decision lists Network: Computation in Neural Systems. 4: 67-85. DOI: 10.1088/0954-898X_4_1_005 |
0.398 |
|
| 1993 |
Golea M, Marchand M. Learning curves of the clipped Hebb rule for networks with binary weights Journal of Physics a: Mathematical and General. 26: 5751-5766. DOI: 10.1088/0305-4470/26/21/015 |
0.379 |
|
| 1990 |
Golea M, Marchand M. A growth algorithm for neural network decision trees Epl. 12: 205-210. DOI: 10.1209/0295-5075/12/3/003 |
0.363 |
|
| 1990 |
Marchand M, Golea M, Rujan P. A convergence theorem for sequential learning in two-layer perceptrons Epl. 11: 487-492. DOI: 10.1209/0295-5075/11/6/001 |
0.389 |
|
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