Francesco Dinuzzo

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Gianluigi PillonettoProfessor of Automatic Control, University of PadovaAdresse e-mail validée de dei.unipd.it
De Nicolao GiuseppeProfessore di Automatica, Università di PaviaAdresse e-mail validée de unipv.it
Kenji FukumizuThe Institute of Statistical MathematicsAdresse e-mail validée de ism.ac.jp
Antonella FerraraProfessor of Process Control and Robotics, University of Pavia, ItalyAdresse e-mail validée de unipv.it
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHAdresse e-mail validée de tuebingen.mpg.de
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenAdresse e-mail validée de isy.liu.se
Krikamol MuandetCISPA - Helmholtz Center for Information SecurityAdresse e-mail validée de cispa.de
Roy Bar-HaimSenior Technical Staff Member at IBM ResearchAdresse e-mail validée de il.ibm.com
Cheng Soon OngData61, CSIRO, CanberraAdresse e-mail validée de anu.edu.au
Jean-Baptiste FiotMetaAdresse e-mail validée de fb.com
Peter GehlerZalandoAdresse e-mail validée de zalando.de
luca schenatoProfessor of Electrical Engineering, University of PadovaAdresse e-mail validée de dei.unipd.it
Simone Del FaveroAssistant Professor, Department of Information Engineering, University of PadovaAdresse e-mail validée de dei.unipd.it
Ugo GianazzaProfessor of Mathematical Analysis, University of PaviaAdresse e-mail validée de imati.cnr.it
Andreas ArgyriouMicrosoft UKAdresse e-mail validée de alum.mit.edu
Damiano VaragnoloDepartment of Engineering Cybernetics, NTNU - Norwegian University of Science and TechnologyAdresse e-mail validée de ntnu.no
Suvrit SraMITAdresse e-mail validée de mit.edu
Carlos María Alaíz GudínUniversidad Autónoma de MadridAdresse e-mail validée de uam.es
Claudio PerselloUniversity of TwenteAdresse e-mail validée de utwente.nl
Noam SlonimDistinguished Engineer at IBM Research

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Francesco Dinuzzo

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Machine Learning Statistics Automatic Control Optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Kernel methods in system identification, machine learning and function estimation: A survey G Pillonetto, F Dinuzzo, T Chen, G De Nicolao, L Ljung Automatica 50 (3), 657-682, 2014	754	2014
Learning from distributions via Support Measure Machines K Muandet, B Schölkopf, K Fukumizu, F Dinuzzo Advances in Neural Information Processing Systems 25, 2012	216	2012
Higher order sliding mode controllers with optimal reaching F Dinuzzo, A Ferrara IEEE Transactions on Automatic Control 54 (9), 2126-2136, 2009	177	2009
Stance classification of context-dependent claims R Bar-Haim, I Bhattacharya, F Dinuzzo, A Saha, N Slonim Proceedings of the 15th Conference of the European Chapter of the …, 2017	176	2017
Electricity Demand Forecasting by Multi-Task Learning JB Fiot, F Dinuzzo IEEE Transactions on Smart Grid 9 (2), 544-551, 2018	116	2018
Learning output kernels with block coordinate descent F Dinuzzo, CS Ong, P Gehler, G Pillonetto Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	100	2011
The representer theorem for Hilbert spaces: a necessary and sufficient condition F Dinuzzo, B Schölkopf Advances in Neural Information Processing Systems 25, 189--196, 2012	90	2012
Kernels for linear time invariant system identification F Dinuzzo SIAM Journal on Control and Optimization 53 (5), 3299–3317, 2015	75	2015
Bayesian online multitask learning of Gaussian processes G Pillonetto, F Dinuzzo, G De Nicolao Pattern Analysis and Machine Intelligence, IEEE Transactions on 32 (2), 193-205, 2010	75	2010
Client–server multitask learning from distributed datasets F Dinuzzo, G Pillonetto, G De Nicolao Neural Networks, IEEE Transactions on 22 (2), 290-303, 2011	45	2011
On the representer theorem and equivalent degrees of freedom of SVR. F Dinuzzo, M Neve, G De Nicolao, UP Gianazza Journal of Machine Learning Research 8 (10), 2007	33	2007
Learning output kernels for multi-task problems F Dinuzzo Neurocomputing 118, 119-126, 2013	29	2013
A Unifying View of Representer Theorems A Argyriou, F Dinuzzo ICML, 2014	27	2014
Learning low-rank output kernels F Dinuzzo, K Fukumizu Asian Conference on Machine Learning, 181-196, 2011	21	2011
Sliding mode optimal regulator for a Bolza-Meyer criterion with non-quadratic state energy terms M Basin, D Calderon-Alvarez, A Ferrara, F Dinuzzo 2009 American Control Conference, 4951-4955, 2009	19	2009
Kernel machines with two layers and multiple kernel learning F Dinuzzo arXiv preprint arXiv:1001.2709, 2010	15	2010
Finite-time output stabilization with second order sliding modes F Dinuzzo, A Ferrara Automatica 45 (9), 2169-2171, 2009	13	2009
An algebraic characterization of the optimum of regularized kernel methods F Dinuzzo, G De Nicolao Machine learning 74, 315-345, 2009	10	2009
Claim polarity identification E Aharoni, R Bar-Haim, I Bhattacharya, F Dinuzzo, D Gutfreund, A Saha, ... US Patent 9,632,998, 2017	9	2017
A second order sliding mode controller with polygonal constraints F Dinuzzo Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009	9	2009

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