Alessandro Ghio
According to our database1,
Alessandro Ghio
authored at least 55 papers
between 2007 and 2020.
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Bibliography
2020
Knowledge management and intellectual capital in knowledge-based organisations: a review and theoretical perspectives.
J. Knowl. Manag., 2020
2016
Neural Process. Lett., 2016
2015
Neural Networks, 2015
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency.
Neurocomputing, 2015
Neurocomputing, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity.
IEEE Trans. Neural Networks Learn. Syst., 2014
Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers.
Pattern Recognit. Lett., 2014
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Learning with few bits on small-scale devices: From regularization to energy efficiency.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator.
Proceedings of the Open Learning and Teaching in Educational Communities, 2014
2013
Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression.
IEEE Trans. Smart Grid, 2013
An improved analysis of the Rademacher data-dependent bound using its self bounding property.
Neural Networks, 2013
J. Univers. Comput. Sci., 2013
J. Artif. Intell. Soft Comput. Res., 2013
A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Training Computationally Efficient Smartphone-Based Human Activity Recognition Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines.
IEEE Trans. Neural Networks Learn. Syst., 2012
Neural Process. Lett., 2012
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine.
Proceedings of the Ambient Assisted Living and Home Care - 4th International Workshop, 2012
Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
J. Circuits Syst. Comput., 2011
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Selecting the hypothesis space for improving the generalization ability of Support Vector Machines.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines.
Proceedings of The 2009 International Conference on Data Mining, 2009
2008
Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008
2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007