Alessandro Ghio

According to our database1, Alessandro Ghio authored at least 55 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates.
Neural Process. Lett., 2016

2015
Fully Empirical and Data-Dependent Stability-Based Bounds.
IEEE Trans. Cybern., 2015

Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples.
Neural Networks, 2015

Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency.
Neurocomputing, 2015

Developments in computational intelligence and machine learning.
Neurocomputing, 2015

Fast convergence of extended Rademacher Complexity bounds.
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

Shrinkage learning to improve SVM with hints.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Human Algorithmic Stability and Human Rademacher Complexity.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Advances in learning analytics and educational data mining.
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
Condition Based Maintenance of Naval Propulsion Plants.
Dataset, September, 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

Out-of-Sample Error Estimation: The Blessing of High Dimensionality.
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

Byte The Bullet: Learning on Real-World Computing Architectures.
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

Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic.
J. Univers. Comput. Sci., 2013

A Survey of old and New Results for the Test Error Estimation of a Classifier.
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

Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers.
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

A Learning Machine with a Bit-Based Hypothesis Space.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

A Public Domain Dataset for Human Activity Recognition using Smartphones.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Human Activity Recognition Using Smartphones.
Dataset, December, 2012

In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines.
IEEE Trans. Neural Networks Learn. Syst., 2012

In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine.
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

Nested Sequential Minimal Optimization for Support Vector Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Structural Risk Minimization and Rademacher Complexity for Regression.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

The 'K' in K-fold Cross Validation.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
A FPGA Core Generator for Embedded Classification Systems.
J. Circuits Syst. Comput., 2011

Maximal Discrepancy for Support Vector Machines.
Neurocomputing, 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

In-sample model selection for Support Vector Machines.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Test error bounds for classifiers: A survey of old and new results.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011

Maximal Discrepancy vs. Rademacher Complexity for error estimation.
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
A support vector machine with integer parameters.
Neurocomputing, 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

Smart Plankton: a Nature Inspired Underwater Wireless Sensor Network.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Smart plankton - a new generation of underwater wireless sensor network.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications.
Proceedings of the International Joint Conference on Neural Networks, 2007

A learning machine for resource-limited adaptive hardware.
Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007


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