| 2015 | ESANN | Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs. | Luca Oneto, Bernardo Pilarz, Alessandro Ghio, Davide Anguita |
| 2015 | ESANN | Advances in learning analytics and educational data mining. | Mehrnoosh Vahdat, Alessandro Ghio, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg |
| 2015 | ESANN | Human Algorithmic Stability and Human Rademacher Complexity. | Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Davide Anguita, Mathias Funk, Matthias Rauterberg |
| 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 | ESANN | Byte The Bullet: Learning on Real-World Computing Architectures. | Alessandro Ghio, Luca Oneto |
| 2014 | ICANN | Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions. | Jorge Luis Reyes-Ortiz, Luca Oneto, Alessandro Ghio, Albert Sam, Davide Anguita, Xavier Parra |
| 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 Public Domain Dataset for Human Activity Recognition using Smartphones. | Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz |
| 2013 | ESANN | A Learning Machine with a Bit-Based Hypothesis Space. | Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella |
| 2013 | ESANN | Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments. | Jorge Luis Reyes-Ortiz, Alessandro Ghio, Xavier Parra, Davide Anguita, Joan Cabestany, Andreu Catal |
| 2013 | ICANN | Training Computationally Efficient Smartphone-Based Human Activity Recognition Models. | Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz |
| 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 |
| 2008 | ALIFE | Smart plankton - a new generation of underwater wireless sensor network. | Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi |
| 2008 | ICNC | Smart Plankton: a Nature Inspired Underwater Wireless Sensor Network. | Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi |
| 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 |