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2020 – today
- 2020
[j17]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): 1719-1754 (2020)
2010 – 2019
- 2016
- [j16]Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita:
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates. Neural Process. Lett. 43(2): 567-602 (2016) - 2015
- [j15]Michael Biehl, Alessandro Ghio, Frank-Michael Schleif:
Developments in computational intelligence and machine learning. Neurocomputing 169: 185-186 (2015) - [j14]Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita:
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency. Neurocomputing 169: 225-235 (2015) - [j13]Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita:
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples. Neural Networks 65: 115-125 (2015) - [j12]Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita:
Fully Empirical and Data-Dependent Stability-Based Bounds. IEEE Trans. Cybern. 45(9): 1913-1926 (2015) - [c37]Luca Oneto, Bernardo Pilarz, Alessandro Ghio, Davide Anguita:
Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs. ESANN 2015 - [c36]Mehrnoosh Vahdat, Alessandro Ghio, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg:
Advances in learning analytics and educational data mining. ESANN 2015 - [c35]Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Davide Anguita, Mathias Funk, Matthias Rauterberg:
Human Algorithmic Stability and Human Rademacher Complexity. ESANN 2015 - [c34]Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita:
Shrinkage learning to improve SVM with hints. IJCNN 2015: 1-9 - [c33]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: 1-4 - [c32]Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita:
Fast convergence of extended Rademacher Complexity bounds. IJCNN 2015: 1-10 - 2014
- [j11]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers. Pattern Recognit. Lett. 37: 210-219 (2014) - [j10]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): 2202-2211 (2014) - [c31]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: 596-597 - [c30]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Learning with few bits on small-scale devices: From regularization to energy efficiency. ESANN 2014 - [c29]Alessandro Ghio, Luca Oneto:
Byte The Bullet: Learning on Real-World Computing Architectures. ESANN 2014 - [c28]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: 177-184 - [c27]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: 637-644 - [c26]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities. IJCNN 2014: 3916-3921 - [d2]Andrea Coraddu, Luca Oneto, Alessandro Ghio, Stefano Savio, Davide Anguita, Massimo Figari:
Condition Based Maintenance of Naval Propulsion Plants. UCI Machine Learning Repository, 2014
- 2013
- [j9]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): 229 (2013) - [j8]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): 1295-1314 (2013) - [j7]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: 107-111 (2013) - [j6]Luca Ghelardoni, Alessandro Ghio, Davide Anguita:
Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression. IEEE Trans. Smart Grid 4(1): 549-556 (2013) - [c25]Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz:
A Public Domain Dataset for Human Activity Recognition using Smartphones. ESANN 2013 - [c24]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
A Learning Machine with a Bit-Based Hypothesis Space. ESANN 2013 - [c23]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 - [c22]Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz:
Training Computationally Efficient Smartphone-Based Human Activity Recognition Models. ICANN 2013: 426-433 - [c21]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: 434-441 - [c20]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity. IJCNN 2013: 1-8 - [c19]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space. IJCNN 2013: 1-10 - 2012
- [j5]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine. Neural Process. Lett. 36(3): 275-283 (2012) - [j4]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): 1390-1406 (2012) - [c18]Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, Sandro Ridella:
The 'K' in K-fold Cross Validation. ESANN 2012 - [c17]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Structural Risk Minimization and Rademacher Complexity for Regression. ESANN 2012 - [c16]Alessandro Ghio, Davide Anguita, Luca Oneto, Sandro Ridella, Carlotta Schatten:
Nested Sequential Minimal Optimization for Support Vector Machines. ICANN (2) 2012: 156-163 - [c15]Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella:
Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets. ICANN (2) 2012: 491-498 - [c14]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: 216-223 - [d1]Jorge Luis Reyes-Ortiz, Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra:
Human Activity Recognition Using Smartphones. UCI Machine Learning Repository, 2012 - 2011
- [j3]Davide Anguita, Alessandro Ghio, Sandro Ridella:
Maximal Discrepancy for Support Vector Machines. Neurocomputing 74(9): 1436-1443 (2011) - [j2]Davide Anguita, Luca Carlino, Alessandro Ghio, Sandro Ridella:
A FPGA Core Generator for Embedded Classification Systems. J. Circuits Syst. Comput. 20(2): 263-282 (2011) - [c13]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Maximal Discrepancy vs. Rademacher Complexity for error estimation. ESANN 2011 - [c12]Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella:
Test error bounds for classifiers: A survey of old and new results. FOCI 2011: 80-87 - [c11]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
In-sample model selection for Support Vector Machines. IJCNN 2011: 1154-1161 - [c10]Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. IJCNN 2011: 1169-1176 - [c9]Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella:
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. NIPS 2011: 585-593 - 2010
- [c8]Davide Anguita, Alessandro Ghio, Sandro Ridella:
Maximal Discrepancy for Support Vector Machines. ESANN 2010 - [c7]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: 1-8
2000 – 2009
- 2009
- [c6]Davide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi:
K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. DMIN 2009: 291-297 - 2008
- [j1]Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella:
A support vector machine with integer parameters. Neurocomputing 72(1-3): 480-489 (2008) - [c5]Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi:
Smart plankton - a new generation of underwater wireless sensor network. ALIFE 2008: 745 - [c4]Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi:
Smart Plankton: a Nature Inspired Underwater Wireless Sensor Network. ICNC (7) 2008: 701-705 - [c3]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: 984-988 - 2007
- [c2]Davide Anguita, Alessandro Ghio, Stefano Pischiutta:
A learning machine for resource-limited adaptive hardware. AHS 2007: 571-576 - [c1]Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella:
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. IJCNN 2007: 1360-1364
Coauthor Index
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