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Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy.

G. Franchini, P. Burgio, and L. Zanni. ISDA (2), volume 941 of Advances in Intelligent Systems and Computing, page 1025-1034. Springer, (2018)

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Luca Remke University of Stuttgart

Luca Di Grazia University of Stuttgart

Philipp Luca Reiser University of Stuttgart

Dr. Simone Luca Portalupi University of Stuttgart

Gian-Luca Iglesias Lopez University of Stuttgart

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On the working set selection in gradient projection-based decomposition techniques for support vector machines.T. Serafini, and L. Zanni. Optimization Methods and Software, 20 (4-5): 583-596 (2005)From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm.M. Prato, S. Favilla, P. Baraldi, C. Porro, and L. Zanni. EUSIPCO, page 2332-2336. IEEE, (2009)A parallel solver for large quadratic programs in training support vector machines.G. Zanghirati, and L. Zanni. Parallel Computing, 29 (4): 535-551 (2003)Steplength selection in gradient projection methods for box-constrained quadratic programs.S. Crisci, V. Ruggiero, and L. Zanni. Applied Mathematics and Computation, (2019)On the steplength selection in gradient methods for unconstrained optimization.D. di Serafino, V. Ruggiero, G. Toraldo, and L. Zanni. Applied Mathematics and Computation, (2018)Gradient projection approaches for optimization problems in image deblurring and denoising.S. Bonettini, F. Benvenuto, R. Zanella, L. Zanni, and M. Bertero. EUSIPCO, page 1384-1388. IEEE, (2009)Guest editorial.M. Bertero, V. Ruggiero, and L. Zanni. Comp. Opt. and Appl., 54 (2): 211-213 (2013)Gradient projection methods for quadratic programs and applications in training support vector machines.T. Serafini, G. Zanghirati, and L. Zanni. Optimization Methods and Software, 20 (2-3): 353-378 (2005)A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring.F. Porta, M. Prato, and L. Zanni. J. Sci. Comput., 65 (3): 895-919 (2015)Splitting methods for quadratic optimization in data analysis.E. Galligani, V. Ruggiero, and L. Zanni. Int. J. Comput. Math., 63 (3-4): 289-307 (1997)