Memetic Viability Evolution for Constrained Optimization

Autor: Maesani, A., Iacca, G., Floreano, D.

Publikováno v: IEEE Transactions on Evolutionary Computation, Volume 20, pp 125-144, 2016

The performance of evolutionary algorithms can be heavily undermined when constraints limit the feasible areas of the search space. For instance, while Covariance Matrix Adaptation Evolution Strategy is one of the most efficient algorithms for uncons

Externí odkaz: http://arxiv.org/abs/1810.02702

Robust parameter estimation and identifiability analysis with hybrid neural ordinary differential equations in computational biology.

Autor: Giampiccolo S; Fondazione The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Trento, Italy.; Department of Information Engineering and Computer Science (DISI), University of Trento, Povo, Trento, Italy., Reali F; Fondazione The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Trento, Italy., Fochesato A; Fondazione The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Trento, Italy.; Department of Mathematics, University of Trento, Povo, Trento, Italy.; Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland., Iacca G; Department of Information Engineering and Computer Science (DISI), University of Trento, Povo, Trento, Italy., Marchetti L; Fondazione The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Trento, Italy. marchetti@cosbi.eu.; Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Povo, Trento, Italy. marchetti@cosbi.eu.

Publikováno v: NPJ systems biology and applications [NPJ Syst Biol Appl] 2024 Nov 29; Vol. 10 (1), pp. 139. Date of Electronic Publication: 2024 Nov 29.

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Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression.

Autor: Khan U; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy., Afrakhteh S; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy., Mento F; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy., Mert G; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy., Smargiassi A; Pulmonary Medicine Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Inchingolo R; Pulmonary Medicine Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Tursi F; UOS Pneumologia di Codogno, Asst Lodi, Lodi, Italy., Macioce VN; UOS Pneumologia di Codogno, Asst Lodi, Lodi, Italy., Perrone T; Dipartimento di Emergenza ed Urgenza, Humanitas Gavazzeni Bergamo, Bergamo, Italy., Iacca G; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy., Demi L; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy. Electronic address: libertario.demi@unitn.it.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Feb; Vol. 169, pp. 107885. Date of Electronic Publication: 2023 Dec 21.

A two-dimensional angular interpolation based on radial basis functions for high frame rate ultrafast imaging.

Autor: Afrakhteh S; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy., Iacca G; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy., Demi L; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy.

Publikováno v: The Journal of the Acoustical Society of America [J Acoust Soc Am] 2023 Nov 01; Vol. 154 (5), pp. 3454-3465.