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2010 – 2019
- 2018
[j3]Mario A. Muñoz
, Laura Villanova, Davaatseren Baatar, Kate Smith-Miles:
Instance spaces for machine learning classification. Mach. Learn. 107(1): 109-147 (2018)- 2017
- [j2]Ingrida Steponavice, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
Dynamic algorithm selection for pareto optimal set approximation. J. Glob. Optim. 67(1-2): 263-282 (2017) - 2016
- [p1]Ingrida Steponavice, Mojdeh Shirazi-Manesh, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
On Sampling Methods for Costly Multi-Objective Black-Box Optimization. Advances in Stochastic and Deterministic Global Optimization 2016: 273-296 - 2014
- [c2]Ingrida Steponavice, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
Efficient Identification of the Pareto Optimal Set. LION 2014: 341-352 - 2010
- [c1]Laura Villanova, Paolo Falcaro, Davide Carta, Irene Poli, Rob J. Hyndman, Kate Smith-Miles:
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j1]Giovanni Minervini, Giuseppe Evangelista, Laura Villanova, Debora Slanzi, Davide De Lucrezia, Irene Poli, Pier Luigi Luisi, Fabio Polticelli:
Massive non-natural proteins structure prediction using grid technologies. BMC Bioinform. 10(S-6) (2009)
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