Alessandro Ghio

54 papers B 24C 4Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Knowledge management and intellectual capital in knowledge-based organisations: a review and theoretical perspectives. J. Knowl. Manag. Alexeis Garcia-Perez, Alessandro Ghio, Zeila Occhipinti, Roberto Verona
2016	J	`jnl`	Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates. Neural Process. Lett. Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	B	`conf`	Advances in learning analytics and educational data mining. ESANN Mehrnoosh Vahdat, Alessandro Ghio, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg
2015	J	`jnl`	Developments in computational intelligence and machine learning. Neurocomputing Michael Biehl, Alessandro Ghio, Frank-Michael Schleif
2015	B	`conf`	Fast convergence of extended Rademacher Complexity bounds. IJCNN Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	J	`jnl`	Fully Empirical and Data-Dependent Stability-Based Bounds. IEEE Trans. Cybern. Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	B	`conf`	Human Algorithmic Stability and Human Rademacher Complexity. ESANN Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Davide Anguita, Mathias Funk, Matthias Rauterberg
2015	J	`jnl`	Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency. Neurocomputing Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	J	`jnl`	Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples. Neural Networks Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	B	`conf`	Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs. ESANN Luca Oneto, Bernardo Pilarz, Alessandro Ghio, Davide Anguita
2015	B	`conf`	Shrinkage learning to improve SVM with hints. IJCNN Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	B	`conf`	Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters. IJCNN Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2014	J	`jnl`	A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity. IEEE Trans. Neural Networks Learn. Syst. Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2014	B	`conf`	A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator. EC-TEL Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Giuliano Donzellini, Davide Anguita, Mathias Funk, Matthias Rauterberg
2014	B	`conf`	Byte The Bullet: Learning on Real-World Computing Architectures. ESANN Alessandro Ghio, Luca Oneto
2014	C	`conf`	Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions. ICANN Jorge Luis Reyes-Ortiz, Luca Oneto, Alessandro Ghio, Albert Samà, Davide Anguita, Xavier Parra
2014	B	`conf`	Learning with few bits on small-scale devices: From regularization to energy efficiency. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2014	—	`conf`	Out-of-Sample Error Estimation: The Blessing of High Dimensionality. ICDM Workshops Luca Oneto, Alessandro Ghio, Sandro Ridella, Jorge Luis Reyes-Ortiz, Davide Anguita
2014	B	`conf`	Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2014	J	`jnl`	Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers. Pattern Recognit. Lett. Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2013	B	`conf`	A Learning Machine with a Bit-Based Hypothesis Space. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2013	C	`conf`	A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers. ICANN Davide Anguita, Alessandro Ghio, Luca Oneto, Jorge Luis Reyes-Ortiz, Sandro Ridella
2013	B	`conf`	A Public Domain Dataset for Human Activity Recognition using Smartphones. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
2013	J	`jnl`	A Survey of old and New Results for the Test Error Estimation of a Classifier. J. Artif. Intell. Soft Comput. Res. Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella
2013	B	`conf`	A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2013	J	`jnl`	An improved analysis of the Rademacher data-dependent bound using its self bounding property. Neural Networks Luca Oneto, Alessandro Ghio, Davide Anguita, Sandro Ridella
2013	J	`jnl`	Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic. J. Univers. Comput. Sci. Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
2013	J	`jnl`	Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression. IEEE Trans. Smart Grid Luca Ghelardoni, Alessandro Ghio, Davide Anguita
2013	B	`conf`	Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments. ESANN Jorge Luis Reyes-Ortiz, Alessandro Ghio, Xavier Parra, Davide Anguita, Joan Cabestany, Andreu Català
2013	B	`conf`	Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2013	C	`conf`	Training Computationally Efficient Smartphone-Based Human Activity Recognition Models. ICANN Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
2012	—	`conf`	Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine. IWAAL Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
2012	J	`jnl`	In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2012	J	`jnl`	In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine. Neural Process. Lett. Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2012	—	`conf`	Nested Sequential Minimal Optimization for Support Vector Machines. ICANN (2) Alessandro Ghio, Davide Anguita, Luca Oneto, Sandro Ridella, Carlotta Schatten
2012	—	`conf`	Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets. ICANN (2) Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella
2012	B	`conf`	Structural Risk Minimization and Rademacher Complexity for Regression. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2012	B	`conf`	The 'K' in K-fold Cross Validation. ESANN Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	J	`jnl`	A FPGA Core Generator for Embedded Classification Systems. J. Circuits Syst. Comput. Davide Anguita, Luca Carlino, Alessandro Ghio, Sandro Ridella
2011	B	`conf`	In-sample model selection for Support Vector Machines. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	J	`jnl`	Maximal Discrepancy for Support Vector Machines. Neurocomputing Davide Anguita, Alessandro Ghio, Sandro Ridella
2011	B	`conf`	Maximal Discrepancy vs. Rademacher Complexity for error estimation. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	B	`conf`	Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	—	`conf`	Test error bounds for classifiers: A survey of old and new results. FOCI Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella
2011	—	`conf`	The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. NIPS Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella
2010	B	`conf`	Maximal Discrepancy for Support Vector Machines. ESANN Davide Anguita, Alessandro Ghio, Sandro Ridella
2010	B	`conf`	Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory. IJCNN Davide Anguita, Alessandro Ghio, Noemi Greco, Luca Oneto, Sandro Ridella
2009	—	`conf`	K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. DMIN Davide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi
2008	J	`jnl`	A support vector machine with integer parameters. Neurocomputing Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella
2008	—	`conf`	Smart Plankton: a Nature Inspired Underwater Wireless Sensor Network. ICNC (7) Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi
2008	C	`conf`	Smart plankton - a new generation of underwater wireless sensor network. ALIFE Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi
2008	B	`conf`	Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications. IJCNN Enrique Alba, Davide Anguita, Alessandro Ghio, Sandro Ridella
2007	B	`conf`	A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. IJCNN Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella
2007	—	`conf`	A learning machine for resource-limited adaptive hardware. AHS Davide Anguita, Alessandro Ghio, Stefano Pischiutta