Alessandro Ghio - researchr alias

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Viewing Publication 1 - 54 from 54

2020

Knowledge management and intellectual capital in knowledge-based organisations: a review and theoretical perspectivesAlexeis Garcia-Perez, Alessandro Ghio, Zeila Occhipinti, Roberto Verona. jkm, 24(7):1719-1754, 2020. [doi]

2016

Global Rademacher Complexity Bounds: From Slow to Fast Convergence RatesLuca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita. npl, 43(2):567-602, 2016. [doi]

2015

Developments in computational intelligence and machine learningMichael Biehl, Alessandro Ghio, Frank-Michael Schleif. ijon, 169:185-186, 2015. [doi]

Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparametersLuca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita. ijcnn 2015: 1-4 [doi]

Shrinkage learning to improve SVM with hintsLuca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita. ijcnn 2015: 1-9 [doi]

Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUsLuca Oneto, Bernardo Pilarz, Alessandro Ghio, Davide Anguita. esann 2015: [doi]

Fast convergence of extended Rademacher Complexity boundsLuca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita. ijcnn 2015: 1-10 [doi]

Fully Empirical and Data-Dependent Stability-Based BoundsLuca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita. tcyb, 45(9):1913-1926, 2015. [doi]

Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy EfficiencyLuca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita. ijon, 169:225-235, 2015. [doi]

Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samplesLuca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita. NN, 65:115-125, 2015. [doi]

Human Algorithmic Stability and Human Rademacher ComplexityMehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Davide Anguita, Mathias Funk, Matthias Rauterberg. esann 2015: [doi]

Advances in learning analytics and educational data miningMehrnoosh Vahdat, Alessandro Ghio, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg. esann 2015: [doi]

2014

Learning with few bits on small-scale devices: From regularization to energy efficiencyDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. esann 2014: [doi]

Smartphone battery saving by bit-based hypothesis spaces and local Rademacher ComplexitiesDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. ijcnn 2014: 3916-3921 [doi]

Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiersDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. prl, 37:210-219, 2014. [doi]

A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher ComplexityDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. tnn, 25(12):2202-2211, 2014. [doi]

Byte The Bullet: Learning on Real-World Computing ArchitecturesAlessandro Ghio, Luca Oneto. esann 2014: [doi]

Out-of-Sample Error Estimation: The Blessing of High DimensionalityLuca Oneto, Alessandro Ghio, Sandro Ridella, Jorge Luis Reyes-Ortiz, Davide Anguita. icdm 2014: 637-644 [doi]

Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural TransitionsJorge Luis Reyes-Ortiz, Luca Oneto, Alessandro Ghio, Albert Samá, Davide Anguita, Xavier Parra. icann 2014: 177-184 [doi]

A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics SimulatorMehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Giuliano Donzellini, Davide Anguita, Mathias Funk, Matthias Rauterberg. ectel 2014: 596-597 [doi]

2013

A Survey of old and New Results for the Test Error Estimation of a ClassifierDavide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella. jaiscr, 3(4):229, 2013. [doi]

A Public Domain Dataset for Human Activity Recognition using SmartphonesDavide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz. esann 2013: [doi]

Some results about the Vapnik-Chervonenkis entropy and the rademacher complexityDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. ijcnn 2013: 1-8 [doi]

A Novel Procedure for Training L1-L2 Support Vector Machine ClassifiersDavide Anguita, Alessandro Ghio, Luca Oneto, Jorge Luis Reyes-Ortiz, Sandro Ridella. icann 2013: 434-441 [doi]

Training Computationally Efficient Smartphone-Based Human Activity Recognition ModelsDavide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz. icann 2013: 426-433 [doi]

A Learning Machine with a Bit-Based Hypothesis SpaceDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. esann 2013: [doi]

A support vector machine classifier from a bit-constrained, sparse and localized hypothesis spaceDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. ijcnn 2013: 1-10 [doi]

Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point ArithmeticDavide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz. jucs, 19(9):1295-1314, 2013. [doi]

Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector RegressionLuca Ghelardoni, Alessandro Ghio, Davide Anguita. tsg, 4(1):549-556, 2013. [doi]

An improved analysis of the Rademacher data-dependent bound using its self bounding propertyLuca Oneto, Alessandro Ghio, Davide Anguita, Sandro Ridella. NN, 44:107-111, 2013. [doi]

Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive EnvironmentsJorge Luis Reyes-Ortiz, Alessandro Ghio, Xavier Parra, Davide Anguita, Joan Cabestany, Andreu Català. esann 2013: [doi]

2012

Structural Risk Minimization and Rademacher Complexity for RegressionDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. esann 2012: [doi]

Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector MachineDavide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz. iwaal 2012: 216-223 [doi]

The `K' in K-fold Cross ValidationDavide Anguita, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, Sandro Ridella. esann 2012: [doi]

In-sample Model Selection for Trimmed Hinge Loss Support Vector MachineDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. npl, 36(3):275-283, 2012. [doi]

In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector MachinesDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. tnn, 23(9):1390-1406, 2012. [doi]

Nested Sequential Minimal Optimization for Support Vector MachinesAlessandro Ghio, Davide Anguita, Luca Oneto, Sandro Ridella, Carlotta Schatten. icann 2012: 156-163 [doi]

Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression DatasetsLuca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella. icann 2012: 491-498 [doi]

2011

Test error bounds for classifiers: A survey of old and new resultsDavide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella. foci 2011: 80-87 [doi]

A FPGA Core Generator for Embedded Classification SystemsDavide Anguita, Luca Carlino, Alessandro Ghio, Sandro Ridella. jcsc, 20(2):263-282, 2011. [doi]

Maximal Discrepancy for Support Vector MachinesDavide Anguita, Alessandro Ghio, Sandro Ridella. ijon, 74(9):1436-1443, 2011. [doi]

In-sample model selection for Support Vector MachinesDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. ijcnn 2011: 1154-1161 [doi]

Maximal Discrepancy vs. Rademacher Complexity for error estimationDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. esann 2011: [doi]

Selecting the hypothesis space for improving the generalization ability of Support Vector MachinesDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. ijcnn 2011: 1169-1176 [doi]

The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel ClassifiersLuca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella. nips 2011: 585-593 [doi]

2010

Maximal Discrepancy for Support Vector MachinesDavide Anguita, Alessandro Ghio, Sandro Ridella. esann 2010: [doi]

Model selection for support vector machines: Advantages and disadvantages of the Machine Learning TheoryDavide Anguita, Alessandro Ghio, Noemi Greco, Luca Oneto, Sandro Ridella. ijcnn 2010: 1-8 [doi]

2009

K-Fold Cross Validation for Error Rate Estimate in Support Vector MachinesDavide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi. dmin 2009: 291-297

2008

2007

A learning machine for resource-limited adaptive hardwareDavide Anguita, Alessandro Ghio, Stefano Pischiutta. ahs 2007: 571-576 [doi]

A Hardware-friendly Support Vector Machine for Embedded Automotive ApplicationsDavide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella. ijcnn 2007: 1360-1364 [doi]

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