A learning machine for resource-limited adaptive hardware. - Davide Anguita; Alessandro Ghio; Stefano Pischiutta (AHS, 2007)

A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. - Davide Anguita; Alessandro Ghio; Stefano Pischiutta; Sandro Ridella (IJCNN, 2007)

Smart plankton - a new generation of underwater wireless sensor network. - Davide Anguita; Davide Brizzolara; Alessandro Ghio; Giancarlo Parodi (ALIFE, 2008)

Smart Plankton: a Nature Inspired Underwater Wireless Sensor Network. - Davide Anguita; Davide Brizzolara; Alessandro Ghio; Giancarlo Parodi (ICNC (7), 2008)

Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications. - Enrique Alba 001; Davide Anguita; Alessandro Ghio; Sandro Ridella (IJCNN, 2008)

A support vector machine with integer parameters. - Davide Anguita; Alessandro Ghio; Stefano Pischiutta; Sandro Ridella (Neurocomputing, 2008)

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

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

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

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

In-sample model selection for Support Vector Machines. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (IJCNN, 2011)

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

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

Maximal Discrepancy for Support Vector Machines. - Davide Anguita; Alessandro Ghio; Sandro Ridella (Neurocomputing, 2011)

A FPGA Core Generator for Embedded Classification Systems. - Davide Anguita; Luca Carlino; Alessandro Ghio; Sandro Ridella (J. Circuits Syst. Comput., 2011)

The 'K' in K-fold Cross Validation. - Davide Anguita; Luca Ghelardoni; Alessandro Ghio; Luca Oneto; Sandro Ridella (ESANN, 2012)

Structural Risk Minimization and Rademacher Complexity for Regression. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (ESANN, 2012)

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

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

Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine. - Davide Anguita; Alessandro Ghio; Luca Oneto; Xavier Parra; Jorge Luis Reyes-Ortiz (IWAAL, 2012)

In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (Neural Process. Lett., 2012)

In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (IEEE Trans. Neural Networks Learn. Syst., 2012)

Human Activity Recognition Using Smartphones. - Jorge Luis Reyes-Ortiz; Davide Anguita; Alessandro Ghio; Luca Oneto; Xavier Parra (UCI Machine Learning Repository, 2012)

A Public Domain Dataset for Human Activity Recognition using Smartphones. - Davide Anguita; Alessandro Ghio; Luca Oneto; Xavier Parra; Jorge Luis Reyes-Ortiz (ESANN, 2013)

A Learning Machine with a Bit-Based Hypothesis Space. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (ESANN, 2013)

Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments. - Jorge Luis Reyes-Ortiz; Alessandro Ghio; Xavier Parra; Davide Anguita; Joan Cabestany; Andreu Català (ESANN, 2013)

Training Computationally Efficient Smartphone-Based Human Activity Recognition Models. - Davide Anguita; Alessandro Ghio; Luca Oneto; Xavier Parra; Jorge Luis Reyes-Ortiz (ICANN, 2013)

A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers. - Davide Anguita; Alessandro Ghio; Luca Oneto; Jorge Luis Reyes-Ortiz; Sandro Ridella (ICANN, 2013)

Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (IJCNN, 2013)

A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (IJCNN, 2013)

A Survey of old and New Results for the Test Error Estimation of a Classifier. - Davide Anguita; Luca Ghelardoni; Alessandro Ghio; Sandro Ridella (J. Artif. Intell. Soft Comput. Res., 2013)

Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic. - Davide Anguita; Alessandro Ghio; Luca Oneto; Xavier Parra; Jorge Luis Reyes-Ortiz (J. Univers. Comput. Sci., 2013)

An improved analysis of the Rademacher data-dependent bound using its self bounding property. - Luca Oneto; Alessandro Ghio; Davide Anguita; Sandro Ridella (Neural Networks, 2013)

Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression. - Luca Ghelardoni; Alessandro Ghio; Davide Anguita (IEEE Trans. Smart Grid, 2013)

A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator. - Mehrnoosh Vahdat; Luca Oneto; Alessandro Ghio; Giuliano Donzellini; Davide Anguita; Mathias Funk; Matthias Rauterberg (EC-TEL, 2014)

Learning with few bits on small-scale devices: From regularization to energy efficiency. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (ESANN, 2014)

Byte The Bullet: Learning on Real-World Computing Architectures. - Alessandro Ghio; Luca Oneto (ESANN, 2014)

Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions. - Jorge Luis Reyes-Ortiz; Luca Oneto; Alessandro Ghio; Albert Samà; Davide Anguita; Xavier Parra (ICANN, 2014)

Out-of-Sample Error Estimation: The Blessing of High Dimensionality. - Luca Oneto; Alessandro Ghio; Sandro Ridella; Jorge Luis Reyes-Ortiz; Davide Anguita (ICDM Workshops, 2014)

Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (IJCNN, 2014)

Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (Pattern Recognit. Lett., 2014)

A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity. - Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella (IEEE Trans. Neural Networks Learn. Syst., 2014)

Condition Based Maintenance of Naval Propulsion Plants. - Andrea Coraddu; Luca Oneto; Alessandro Ghio; Stefano Savio; Davide Anguita; Massimo Figari (UCI Machine Learning Repository, 2014)

Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs. - Luca Oneto; Bernardo Pilarz; Alessandro Ghio; Davide Anguita (ESANN, 2015)

Advances in learning analytics and educational data mining. - Mehrnoosh Vahdat; Alessandro Ghio; Luca Oneto; Davide Anguita; Mathias Funk; Matthias Rauterberg (ESANN, 2015)

Human Algorithmic Stability and Human Rademacher Complexity. - Mehrnoosh Vahdat; Luca Oneto; Alessandro Ghio; Davide Anguita; Mathias Funk; Matthias Rauterberg (ESANN, 2015)

Shrinkage learning to improve SVM with hints. - Luca Oneto; Alessandro Ghio; Sandro Ridella; Davide Anguita (IJCNN, 2015)

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 (IJCNN, 2015)

Fast convergence of extended Rademacher Complexity bounds. - Luca Oneto; Alessandro Ghio; Sandro Ridella; Davide Anguita (IJCNN, 2015)

Developments in computational intelligence and machine learning. - Michael Biehl; Alessandro Ghio; Frank-Michael Schleif (Neurocomputing, 2015)

Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency. - Luca Oneto; Alessandro Ghio; Sandro Ridella; Davide Anguita (Neurocomputing, 2015)

Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples. - Luca Oneto; Alessandro Ghio; Sandro Ridella; Davide Anguita (Neural Networks, 2015)

Fully Empirical and Data-Dependent Stability-Based Bounds. - Luca Oneto; Alessandro Ghio; Sandro Ridella; Davide Anguita (IEEE Trans. Cybern., 2015)

Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates. - Luca Oneto; Alessandro Ghio; Sandro Ridella; Davide Anguita (Neural Process. Lett., 2016)

Knowledge management and intellectual capital in knowledge-based organisations: a review and theoretical perspectives. - Alexeis Garcia-Perez; Alessandro Ghio; Zeila Occhipinti; Roberto Verona (J. Knowl. Manag., 2020)