Sandro Ridella

Sergio Decherchi, Mauro Parodi, Sandro Ridella: Learning the mean: A neural network approach. Neurocomputing 77(1): 129-143 (2012)

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine. Neural Processing Letters 36(3): 275-283 (2012)

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines. IEEE Trans. Neural Netw. Learning Syst. 23(9): 1390-1406 (2012)

Alessandro Ghio, Davide Anguita, Luca Oneto, Sandro Ridella, Carlotta Schatten: Nested Sequential Minimal Optimization for Support Vector Machines. ICANN (2) 2012: 156-163

Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella: Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets. ICANN (2) 2012: 491-498

Davide Anguita, Alessandro Ghio, Sandro Ridella: Maximal Discrepancy for Support Vector Machines. Neurocomputing 74(9): 1436-1443 (2011)

Davide Anguita, Luca Carlino, Alessandro Ghio, Sandro Ridella: A FPGA Core Generator for Embedded Classification Systems. Journal of Circuits, Systems, and Computers 20(2): 263-282 (2011)

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: Maximal Discrepancy vs. Rademacher Complexity for error estimation. ESANN 2011

Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella: Test error bounds for classifiers: A survey of old and new results. FOCI 2011: 80-87

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: In-sample model selection for Support Vector Machines. IJCNN 2011: 1154-1161

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. IJCNN 2011: 1169-1176

Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella: The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. NIPS 2011: 585-593

Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita: Using unsupervised analysis to constrain generalization bounds for support vector classifiers. IEEE Transactions on Neural Networks 21(3): 424-438 (2010)

Davide Anguita, Alessandro Ghio, Sandro Ridella: Maximal Discrepancy for Support Vector Machines. ESANN 2010

Davide Anguita, Alessandro Ghio, Noemi Greco, Luca Oneto, Sandro Ridella: Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory. IJCNN 2010: 1-8

Sergio Decherchi, Mauro Parodi, Sandro Ridella: A neural model approach for regularization in the mean estimation case. IJCNN 2010: 1-7

Davide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi: K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. DMIN 2009: 291-297

Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella: A support vector machine with integer parameters. Neurocomputing 72(1-3): 480-489 (2008)

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

Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella: A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. IJCNN 2007: 1360-1364

Paolo Gastaldo, Sandro Ridella, Rodolfo Zunino: Prospects of quantum-classical optimization for digital design. Applied Mathematics and Computation 179(2): 581-595 (2006)

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)

Davide Anguita, Sandro Ridella, Dario Sterpi: Testing the Augmented Binary Multiclass SVM on Microarray Data. IJCNN 2006: 1966-1968

Sandro Ridella, Rodolfo Zunino: Using K-Winner Machines for domain analysis. Neurocomputing 62: 367-388 (2004)

Davide Anguita, Sandro Ridella, Fabio Rivieccio: An Algorithm for Reducing the Number of Support Vectors. WIRN 2004: 99-105

Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Hyperparameter design criteria for support vector classifiers. Neurocomputing 55(1-2): 109-134 (2003)

Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Quantum optimization for training support vector machines. Neural Networks 16(5-6): 763-770 (2003)

Davide Anguita, Andrea Boni, Sandro Ridella: A digital architecture for support vector machines: theory, algorithm, and FPGA implementation. IEEE Transactions on Neural Networks 14(5): 993-1009 (2003)

Massimiliano Bracco, Sandro Ridella, Rodolfo Zunino: Digital implementation of hierarchical vector quantization. IEEE Transactions on Neural Networks 14(5): 1072-1084 (2003)

Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Automatic Hyperparameter Tuning for Support Vector Machines. ICANN 2002: 1345-1350

Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: K-winner machines for pattern classification. IEEE Transactions on Neural Networks 12(2): 371-385 (2001)

Sandro Ridella, Rodolfo Zunino: Empirical measure of multiclass generalization performance: the K-winner machine case. IEEE Transactions on Neural Networks 12(6): 1525-1529 (2001)

Davide Anguita, Andrea Boni, Sandro Ridella: Digital VLSI Algorithms and Architectures for Support Vector Machines. Int. J. Neural Syst. 10(3): 159-170 (2000)

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)

Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: The K-Winner Machine Model. IJCNN (1) 2000: 106-113

Gian Paolo Drago, Sandro Ridella: Possibility and Necessity Pattern Classification using an Interval Arithmetic Perceptron. Neural Computing and Applications 8(1): 40-52 (1999)

Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Representation and generalization properties of class-entropy networks. IEEE Transactions on Neural Networks 10(1): 31-47 (1999)

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)

Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Circular backpropagation networks embed vector quantization. IEEE Transactions on Neural Networks 10(4): 972-975 (1999)

Davide Anguita, Andrea Boni, Sandro Ridella: Support Vector Machines: A Comparison of Some Kernel Functions. IIA/SOCO 1999

Gian Paolo Drago, Sandro Ridella: Pruning with interval arithmetic perceptron. Neurocomputing 18(1-3): 229-246 (1998)

Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Plastic Algorithm for Adaptive Vector Quantisation. Neural Computing and Applications 7(1): 37-51 (1998)

Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Circular backpropagation networks for classification. IEEE Trans. Neural Netw. Learning Syst. 8(1): 84-97 (1997)

Gian Paolo Drago, Sandro Ridella: On the convergence of a growing topology neural algorithm. Neurocomputing 12(2-3): 171-185 (1996)

Gian Paolo Drago, Mauro Morando, Sandro Ridella: An Adaptive Momentum Back Propagation (AMBP). Neural Computing and Applications 3(4): 213-221 (1995)

Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Adaptive Internal Representation in Circular Back-Propagation Networks. Neural Computing and Applications 3(4): 222-333 (1995)

Sandro Ridella, Stefano Rovetta, Rodolfo Zunino: Learning the appropriate representation paradigm by circular processing units. ESANN 1995

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)

Gian Paolo Drago, Sandro Ridella: Convergence Properties of Cascade Correlation in Function Approximation. Neural Computing and Applications 2(3): 142-147 (1994)

Giancarlo Parodi, Sandro Ridella, Rodolfo Zunino: Using chaos to generate keys for associative noise-like coding memories. Neural Networks 6(4): 559-572 (1993)

Alessandro De Gloria, Paolo Faraboschi, Sandro Ridella: A dedicated massively parallel architecture for the Boltzmann machine. Parallel Computing 18(1): 57-73 (1992)

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)

Angelo Corana, Claudio Martini, Sandro Ridella: Corrigenda: "Minimizing Multimodal Functions of Continuous Variables with the 'Simulated Annealing' Algorithm". ACM Trans. Math. Softw. 15(3): 287 (1989)

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)

Angelo Corana, M. Marchesi, Claudio Martini, Sandro Ridella: Minimizing multimodal functions of continuous variables with the "simulated annealing" algorithm. ACM Trans. Math. Softw. 13(3): 262-280 (1987)

Angelo Corana, Claudio Martini, Sandro Ridella, Claudia Rolando: LU Factorization with Maximum Performances on FPS Architectures 38/64 BIT. ICS 1987: 782-788

Claudio Martini, Mauro Morando, Sandro Ridella: Caltech Hypercube MIMD Computer Performances Measurements in a Physical Mathematical Application. CONPAR 1986: 128-132