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2020 – today
- 2024
[j7]Eric Koplin, Liliana Forzani, Diego Tomassi, Ruth M. Pfeiffer:
Sufficient dimension reduction for a novel class of zero-inflated graphical models. Comput. Stat. Data Anal. 196: 107959 (2024)- 2022
- [j6]Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi:
Sufficient reductions in regression with mixed predictors. J. Mach. Learn. Res. 23: 102:1-102:47 (2022) - [j5]Isaías Ibañez
, Liliana Forzani, Diego Tomassi:
Generalized discriminant analysis via kernel exponential families. Pattern Recognit. 132: 108933 (2022)
2010 – 2019
- 2018
- [j4]Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi:
Supervised dimension reduction for ordinal predictors. Comput. Stat. Data Anal. 125: 136-155 (2018) - 2015
- [j3]Diego Tomassi, Diego H. Milone, James D. B. Nelson:
Wavelet shrinkage using adaptive structured sparsity constraints. Signal Process. 106: 73-87 (2015) - 2010
- [j2]Diego Tomassi, Diego H. Milone, Liliana Forzani:
Minimum classification error learning for sequential data in the wavelet domain. Pattern Recognit. 43(12): 3998-4010 (2010)
2000 – 2009
- 2009
- [j1]Diego Tomassi, Diego H. Milone, Liliana Forzani:
Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain. Inteligencia Artif. 13(44): 46-55 (2009)
Coauthor Index
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