| 2025 | ESANN | Reconciling Grokking with Statistical Learning Theory. | Luca Oneto, Sandro Ridella, Andrea Coraddu, Davide Anguita |
| 2024 | ESANN | Informed Machine Learning: Excess Risk and Generalization. | Luca Oneto, Davide Anguita, Sandro Ridella |
| 2023 | ESANN | Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2022 | ESANN | Do We Really Need a New Theory to Understand the Double-Descent? | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2021 | ESANN | The Benefits of Adversarial Defence in Generalisation. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2020 | ESANN | Improving the Union Bound: a Distribution Dependent Approach. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2018 | ESANN | Local Rademacher Complexity Machine. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2017 | ESANN | Generalization Performances of Randomized Classifiers and Algorithms built on Data Dependent Distributions. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2016 | ESANN | Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical Data. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2015 | IJCNN | Shrinkage learning to improve SVM with hints. | Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita |
| 2015 | IJCNN | Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters. | Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita |
| 2015 | IJCNN | Fast convergence of extended Rademacher Complexity bounds. | Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita |
| 2014 | ESANN | Learning with few bits on small-scale devices: From regularization to energy efficiency. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2014 | ICDM | Out-of-Sample Error Estimation: The Blessing of High Dimensionality. | Luca Oneto, Alessandro Ghio, Sandro Ridella, Jorge Luis Reyes-Ortiz, Davide Anguita |
| 2014 | IJCNN | Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2013 | ESANN | A Learning Machine with a Bit-Based Hypothesis Space. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2013 | ICANN | A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers. | Davide Anguita, Alessandro Ghio, Luca Oneto, Jorge Luis Reyes-Ortiz, Sandro Ridella |
| 2013 | IJCNN | Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2013 | IJCNN | A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2012 | ESANN | The 'K' in K-fold Cross Validation. | Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2012 | ESANN | Structural Risk Minimization and Rademacher Complexity for Regression. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2012 | ICANN | Nested Sequential Minimal Optimization for Support Vector Machines. | Alessandro Ghio, Davide Anguita, Luca Oneto, Sandro Ridella, Carlotta Schatten |
| 2012 | ICANN | Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets. | Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella |
| 2011 | ESANN | Maximal Discrepancy vs. Rademacher Complexity for error estimation. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2011 | IJCNN | In-sample model selection for Support Vector Machines. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2011 | IJCNN | Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2010 | ESANN | Maximal Discrepancy for Support Vector Machines. | Davide Anguita, Alessandro Ghio, Sandro Ridella |
| 2010 | IJCNN | Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory. | Davide Anguita, Alessandro Ghio, Noemi Greco, Luca Oneto, Sandro Ridella |
| 2010 | IJCNN | A neural model approach for regularization in the mean estimation case. | Sergio Decherchi, Mauro Parodi, Sandro Ridella |
| 2008 | IJCNN | Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications. | Enrique Alba, Davide Anguita, Alessandro Ghio, Sandro Ridella |
| 2007 | IJCNN | A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. | Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella |
| 2006 | IJCNN | Testing the Augmented Binary Multiclass SVM on Microarray Data. | Davide Anguita, Sandro Ridella, Dario Sterpi |
| 2005 | IJCNN | K-fold generalization capability assessment for support vector classifiers. | Davide Anguita, Sandro Ridella, Fabio Rivieccio |
| 2004 | IJCNN | Unsupervised clustering and the capacity of support vector machines. | Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino |
| 2004 | IJCNN | A new method for multiclass support vector machines. | Davide Anguita, Sandro Ridella, Dario Sterpi |
| 2004 | IJCNN | Model selection in top quark tagging with a support vector classifier. | Davide Anguita, Sandro Ridella, Silvia Amerio, Ignazio Lazzizzera |
| 2004 | IJCNN | Vector quantization complexity and quantum computing. | Paolo Gastaldo, Sandro Ridella, Rodolfo Zunino |
| 2003 | IJCNN | SVM learning with fixed-point math. | Davide Anguita, Andrea Boni, Sandro Ridella |
| 2003 | IJCNN | Training support vector machines: a quantum-computing perspective. | Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino |
| 2003 | IJCNN | A model-selection approach to the VLSI design of vector quantizers. | Massimiliano Bracco, Sandro Ridella, Rodolfo Zunino |
| 2002 | ICANN | Automatic Hyperparameter Tuning for Support Vector Machines. | Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino |
| 2000 | IJCNN | The K-Winner Machine Model. | Sandro Ridella, Stefano Rovetta, Rodolfo Zunino |
| 2000 | ISCAS | Augmenting vector quantization with interval arithmetics for image-coding applications. | Sandro Ridella, Stefano Rovetta, Rodolfo Zunino |
| 1999 | IJCNN | A VLSI friendly algorithm for support vector machines. | Davide Anguita, Andrea Boni, Sandro Ridella |
| 1995 | ESANN | Learning the appropriate representation paradigm by circular processing units. | Sandro Ridella, Stefano Rovetta, Rodolfo Zunino |
| 1987 | ICS | LU Factorization with Maximum Performances on FPS Architectures 38/64 BIT. | Angelo Corana, Claudio Martini, Sandro Ridella, Claudia Rolando |