Publications by Barbara Caputo

Scalable greedy algorithms for transfer learning

In this paper we consider the binary transfer learning problem, focusing on how to select and combine sources from a large pool to yield a good performance on a target task. Constraining our scenario to real world, we do not assume the direct access to the ...

2017

Where Are We After Five Editions? Robot Vision Challenge, a Competition that Evaluates Solutions for the Visual Place Classification Problem

Barbara Caputo, Marco Fornoni, Jesús Martínez Gómez

IEEE-Inst Electrical Electronics Engineers Inc2015

Characterization of a Benchmark Database for Myoelectric Movement Classification

Barbara Caputo, Ilja Kuzborskij

In this paper, we characterize the Ninapro database and its use as a benchmark for hand prosthesis evaluation. The database is a publicly available resource that aims to support research on advanced myoelectric hand prostheses. The database is obtained by ...

2015

A Deeper Look at Dataset Bias

Barbara Caputo, Tatiana Tommasi, Novi Patricia

The presence of a bias in each image data collection has recently attracted a lot of attention in the computer vision community showing the limits in generalization of any learning method trained on a specific dataset. At the same time, with the rapid deve ...

Springer Int Publishing Ag2015

The Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-based Hand Movement Classification

Barbara Caputo

There has been increasing interest in applying learning algorithms to improve the dexterity of myoelectric prostheses. In this work, we present a large-scale benchmark evaluation on the second iteration of the publicly released NinaPro database, which cont ...

2014

Stable Myoelectric Control of a Hand Prosthesis using Non-Linear Incremental Learning

Barbara Caputo

Stable myoelectric control of hand prostheses remains an open problem. The only successful human–machine interface is surface electromyography, typically allowing control of a few degrees of freedom. Machine learning techniques may have the potential to re ...

2014

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

Barbara Caputo, Tatiana Tommasi

At the time of this writing, the main means of control for polyarticulated self-powered hand prostheses is surface electromyography (sEMG). In the clinical setting, data collected from two electrodes are used to guide the hand movements selecting among a f ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Using Object Affordances to Improve Object Recognition

Barbara Caputo, Tatiana Tommasi

2011

Towards semi-supervised learning of semantic spatial concepts for mobile robots

Barbara Caputo, Jesús Martínez Gómez

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learn ...

2011

A realistic benchmark for visual indoor place recognition

Barbara Caputo

An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate local specific services. Recent advances in vision have made this modality a via ...

Elsevier2010