Francesco Orabona
Francesco Orabona
Assistant Professor, Boston University
Verified email at orabona.com - Homepage
Title
Cited by
Cited by
Year
Safety in numbers: Learning categories from few examples with multi model knowledge transfer
T Tommasi, F Orabona, B Caputo
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
2042010
Object-based visual attention: a model for a behaving robot
F Orabona, G Metta, G Sandini
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
1572005
Learning categories from few examples with multi model knowledge transfer
T Tommasi, F Orabona, B Caputo
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (5), 928-941, 2014
1362014
The Projectron: a bounded kernel-based Perceptron
F Orabona, J Keshet, B Caputo
International Conference on Machine Learning (ICML), 720-727, 2008
1222008
From n to n+ 1: Multiclass transfer incremental learning
I Kuzborskij, F Orabona, B Caputo
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1172013
Stability and hypothesis transfer learning
I Kuzborskij, F Orabona
International Conference on Machine Learning (ICML), 942-950, 2013
1122013
Bounded Kernel-Based Online Learning
F Orabona, J Keshet, B Caputo
Journal of Machine Learning Research 10 (11), 2009
1092009
Discriminative cue integration for medical image annotation
T Tommasi, F Orabona, B Caputo
Pattern Recognition Letters 29 (15), 1996-2002, 2008
1042008
Model adaptation with least-squares SVM for adaptive hand prosthetics
F Orabona, C Castellini, B Caputo, AE Fiorilla, G Sandini
Robotics and Automation, 2009. ICRA'09. IEEE International Conference on …, 2009
982009
Learning from candidate labeling sets
L Jie, F Orabona
Advances in Neural Information Processing Systems 23, 1504--1512, 2010
952010
Online-batch strongly convex multi kernel learning
F Orabona, L Jie, B Caputo
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
832010
Ultra-fast optimization algorithm for sparse multi kernel learning
F Orabona, L Jie
International Conference on Machine Learning (ICML), 2011
772011
On the convergence of stochastic gradient descent with adaptive stepsizes
X Li, F Orabona
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
762019
Improving control of dexterous hand prostheses using adaptive learning
T Tommasi, F Orabona, C Castellini, B Caputo
IEEE Transactions on Robotics 29 (1), 207-219, 2013
752013
A Proto-object based visual attention model
F Orabona, G Metta, G Sandini
Attention in Cognitive Systems. Theories and Systems from an …, 2007
75*2007
Simultaneous model selection and optimization through parameter-free stochastic learning
F Orabona
Advances in Neural Information Processing Systems 27, 1116-1124, 2014
742014
A generalized online mirror descent with applications to classification and regression
F Orabona, K Crammer, N Cesa-Bianchi
Machine Learning 99 (3), 411-435, 2015
662015
On-line independent support vector machines
F Orabona, C Castellini, B Caputo, L Jie, G Sandini
Pattern Recognition 43 (4), 1402-1412, 2010
632010
New adaptive algorithms for online classification
F Orabona, K Crammer
Advances in Neural Information Processing Systems 23, 1840--1848, 2010
602010
Robust bounds for classification via selective sampling
N Cesa-Bianchi, C Gentile, F Orabona
Proceedings of the 26th annual international conference on machine learning …, 2009
602009
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