Sandro Ridella

2008
31	EE	Enrique Alba, Davide Anguita, Alessandro Ghio, Sandro Ridella: Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications. IJCNN 2008: 984-988
30	EE	Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella: A support vector machine with integer parameters. Neurocomputing 72(1-3): 480-489 (2008)
2007
29	EE	Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella: A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. IJCNN 2007: 1360-1364
2006
28	EE	Davide Anguita, Sandro Ridella, Dario Sterpi: Testing the Augmented Binary Multiclass SVM on Microarray Data. IJCNN 2006: 1966-1968
27	EE	Paolo Gastaldo, Sandro Ridella, Rodolfo Zunino: Prospects of quantum-classical optimization for digital design. Applied Mathematics and Computation 179(2): 581-595 (2006)
26	EE	Davide Anguita, Stefano Pischiutta, Sandro Ridella, Dario Sterpi: Feed-Forward Support Vector Machine Without Multipliers. IEEE Transactions on Neural Networks 17(5): 1328-1331 (2006)
2004
25	EE	Sandro Ridella, Rodolfo Zunino: Using K-Winner Machines for domain analysis. Neurocomputing 62: 367-388 (2004)
2003
24	EE	Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Quantum optimization for training support vector machines. Neural Networks 16(5-6): 763-770 (2003)
23	EE	Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Hyperparameter design criteria for support vector classifiers. Neurocomputing 55(1-2): 109-134 (2003)
2002
22	EE	Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Automatic Hyperparameter Tuning for Support Vector Machines. ICANN 2002: 1345-1350
2000
21	EE	Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: The K-Winner Machine Model. IJCNN (1) 2000: 106-113
20	EE	Davide Anguita, Andrea Boni, Sandro Ridella: Digital VLSI Algorithms and Architectures for Support Vector Machines. Int. J. Neural Syst. 10(3): 159-170 (2000)
19		Davide Anguita, Andrea Boni, Sandro Ridella: Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap. Neural Processing Letters 11(1): 51-58 (2000)
1999
18		Davide Anguita, Andrea Boni, Sandro Ridella: Support Vector Machines: A Comparison of Some Kernel Functions. IIA/SOCO 1999
17	EE	Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Representation and generalization properties of class-entropy networks. IEEE Transactions on Neural Networks 10(1): 31-47 (1999)
16	EE	Davide Anguita, Sandro Ridella, Stefano Rovetta: Worst case analysis of weight inaccuracy effects in multilayer perceptrons. IEEE Transactions on Neural Networks 10(2): 415-418 (1999)
15	EE	Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Circular backpropagation networks embed vector quantization. IEEE Transactions on Neural Networks 10(4): 972-975 (1999)
14	EE	Gian Paolo Drago, Sandro Ridella: Possibility and Necessity Pattern Classification using an Interval Arithmetic Perceptron. Neural Computing and Applications 8(1): 40-52 (1999)
1998
13		Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Plastic Algorithm for Adaptive Vector Quantisation. Neural Computing and Applications 7(1): 37-51 (1998)
12	EE	Gian Paolo Drago, Sandro Ridella: Pruning with interval arithmetic perceptron. Neurocomputing 18(1-3): 229-246 (1998)
1996
11	EE	Gian Paolo Drago, Sandro Ridella: On the convergence of a growing topology neural algorithm. Neurocomputing 12(2-3): 171-185 (1996)
1995
10		Gian Paolo Drago, Mauro Morando, Sandro Ridella: An Adaptive Momentum Back Propagation (AMBP). Neural Computing and Applications 3(4): 213-221 (1995)
9		Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Adaptive Internal Representation in Circular Back-Propagation Networks. Neural Computing and Applications 3(4): 222-333 (1995)
1994
8		Sandro Ridella, Gian Luca Speroni, Paolo Trebino, Rodolfo Zunino: Class-Entropy Minimisation Networks for Domain Analysis and Rule Extraction. Neural Computing and Applications 2(1): 40-52 (1994)
7		Gian Paolo Drago, Sandro Ridella: Convergence Properties of Cascade Correlation in Function Approximation. Neural Computing and Applications 2(3): 142-147 (1994)
1993
6	EE	Giancarlo Parodi, Sandro Ridella, Rodolfo Zunino: Using chaos to generate keys for associative noise-like coding memories. Neural Networks 6(4): 559-572 (1993)
1992
5		Alessandro De Gloria, Paolo Faraboschi, Sandro Ridella: A dedicated massively parallel architecture for the Boltzmann machine. Parallel Computing 18(1): 57-73 (1992)
1991
4		Angelo Corana, Aldo Casaleggio, Claudia Rolando, Sandro Ridella: Efficient computation of the correlation dimension from a time series on a LIW computer. Parallel Computing 17(6-7): 809-820 (1991)
1988
3		A. Corona, Claudio Martini, Mauro Morando, Sandro Ridella, Claudia Rolando: Solving linear equation systems on vector computers with maximum efficiency. Parallel Computing 8(1-3): 133-139 (1988)
1987
2		Angelo Corana, Claudio Martini, Sandro Ridella, Claudia Rolando: LU Factorization with Maximum Performances on FPS Architectures 38/64 BIT. ICS 1987: 782-788
1986
1		Claudio Martini, Mauro Morando, Sandro Ridella: Caltech Hypercube MIMD Computer Performances Measurements in a Physical Mathematical Application. CONPAR 1986: 128-132

Coauthor Index

1	Enrique Alba (Enrique Alba Torres)	[31]
2	Davide Anguita	[16] [18] [19] [20] [22] [23] [24] [26] [28] [29] [30] [31]
3	Andrea Boni	[18] [19] [20]
4	Aldo Casaleggio	[4]
5	Angelo Corana	[2] [4]
6	A. Corona	[3]
7	Gian Paolo Drago	[7] [10] [11] [12] [14]
8	Paolo Faraboschi	[5]
9	Paolo Gastaldo	[27]
10	Alessandro Ghio	[29] [30] [31]
11	Alessandro De Gloria	[5]
12	Claudio Martini	[1] [2] [3]
13	Mauro Morando	[1] [3] [10]
14	Giancarlo Parodi	[6]
15	Stefano Pischiutta	[26] [29] [30]
16	Fabio Rivieccio	[22] [23] [24]
17	Claudia Rolando	[2] [3] [4]
18	Stefano Rovetta	[9] [13] [15] [16] [17] [21]
19	Gian Luca Speroni	[8]
20	Dario Sterpi	[26] [28]
21	Paolo Trebino	[8]
22	Rodolfo Zunino	[6] [8] [9] [13] [15] [17] [21] [22] [23] [24] [25] [27]

Colors in the list of coauthors