Alessandro Ghio

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 2

Top Topics

Error Estimation

Human Activity Recognition

Rademacher Complexity

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Alexeis Garcia-Perez, Alessandro Ghio, Zeila Occhipinti, Roberto Verona
Knowledge management and intellectual capital in knowledge-based organisations: a review and theoretical perspectives. J. Knowl. Manag. 24 (7) (2020)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates. Neural Process. Lett. 43 (2) (2016)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Fast convergence of extended Rademacher Complexity bounds. IJCNN (2015)
Mehrnoosh Vahdat, Alessandro Ghio, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg
Advances in learning analytics and educational data mining. ESANN (2015)
Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Davide Anguita, Mathias Funk, Matthias Rauterberg
Human Algorithmic Stability and Human Rademacher Complexity. ESANN (2015)
Michael Biehl, Alessandro Ghio, Frank-Michael Schleif
Developments in computational intelligence and machine learning. Neurocomputing 169 (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters. IJCNN (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Fully Empirical and Data-Dependent Stability-Based Bounds. IEEE Trans. Cybern. 45 (9) (2015)
Luca Oneto, Bernardo Pilarz, Alessandro Ghio, Davide Anguita
Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs. ESANN (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples. Neural Networks 65 (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency. Neurocomputing 169 (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Shrinkage learning to improve SVM with hints. IJCNN (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Jorge Luis Reyes-Ortiz, Davide Anguita
Out-of-Sample Error Estimation: The Blessing of High Dimensionality. ICDM Workshops (2014)
Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Giuliano Donzellini, Davide Anguita, Mathias Funk, Matthias Rauterberg
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator. EC-TEL (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers. Pattern Recognit. Lett. 37 (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Learning with few bits on small-scale devices: From regularization to energy efficiency. ESANN (2014)
Alessandro Ghio, Luca Oneto
Byte The Bullet: Learning on Real-World Computing Architectures. ESANN (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities. IJCNN (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity. IEEE Trans. Neural Networks Learn. Syst. 25 (12) (2014)
Jorge Luis Reyes-Ortiz, Luca Oneto, Alessandro Ghio, Albert Samà, Davide Anguita, Xavier Parra
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions. ICANN (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space. IJCNN (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
Training Computationally Efficient Smartphone-Based Human Activity Recognition Models. ICANN (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
A Learning Machine with a Bit-Based Hypothesis Space. ESANN (2013)
Jorge Luis Reyes-Ortiz, Alessandro Ghio, Xavier Parra, Davide Anguita, Joan Cabestany, Andreu Català
Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments. ESANN (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity. IJCNN (2013)
Luca Oneto, Alessandro Ghio, Davide Anguita, Sandro Ridella
An improved analysis of the Rademacher data-dependent bound using its self bounding property. Neural Networks 44 (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
A Public Domain Dataset for Human Activity Recognition using Smartphones. ESANN (2013)
Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella
A Survey of old and New Results for the Test Error Estimation of a Classifier. J. Artif. Intell. Soft Comput. Res. 3 (4) (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic. J. Univers. Comput. Sci. 19 (9) (2013)
Luca Ghelardoni, Alessandro Ghio, Davide Anguita
Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression. IEEE Trans. Smart Grid 4 (1) (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Jorge Luis Reyes-Ortiz, Sandro Ridella
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers. ICANN (2013)
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 Networks Learn. Syst. 23 (9) (2012)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine. Neural Process. Lett. 36 (3) (2012)
Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine. IWAAL (2012)
Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella
Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets. ICANN (2) (2012)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Structural Risk Minimization and Rademacher Complexity for Regression. ESANN (2012)
Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, Sandro Ridella
The 'K' in K-fold Cross Validation. ESANN (2012)
Alessandro Ghio, Davide Anguita, Luca Oneto, Sandro Ridella, Carlotta Schatten
Nested Sequential Minimal Optimization for Support Vector Machines. ICANN (2) (2012)
Davide Anguita, Alessandro Ghio, Sandro Ridella
Maximal Discrepancy for Support Vector Machines. Neurocomputing 74 (9) (2011)
Davide Anguita, Luca Carlino, Alessandro Ghio, Sandro Ridella
A FPGA Core Generator for Embedded Classification Systems. J. Circuits Syst. Comput. 20 (2) (2011)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
In-sample model selection for Support Vector Machines. IJCNN (2011)
Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. NIPS (2011)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Maximal Discrepancy vs. Rademacher Complexity for error estimation. ESANN (2011)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. IJCNN (2011)
Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella
Test error bounds for classifiers: A survey of old and new results. FOCI (2011)
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)
Davide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi
K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. DMIN (2009)
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)
Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella
A support vector machine with integer parameters. Neurocomputing 72 (1-3) (2008)
Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi
Smart Plankton: a Nature Inspired Underwater Wireless Sensor Network. ICNC (7) (2008)
Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi
Smart plankton - a new generation of underwater wireless sensor network. ALIFE (2008)
Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. IJCNN (2007)
Davide Anguita, Alessandro Ghio, Stefano Pischiutta
A learning machine for resource-limited adaptive hardware. AHS (2007)