Francesco Dinuzzo

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Gianluigi PillonettoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
De Nicolao GiuseppeProfessore di Automatica, Università di PaviaVerified email at unipv.it
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Antonella FerraraProfessor of Process Control and Robotics, University of Pavia, ItalyVerified email at unipv.it
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Krikamol MuandetCISPA - Helmholtz Center for Information SecurityVerified email at cispa.de
Roy Bar-HaimSenior Technical Staff Member at IBM ResearchVerified email at il.ibm.com
Noam SlonimDistinguished Engineer at IBM ResearchVerified email at il.ibm.com
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Jean-Baptiste FiotMetaVerified email at fb.com
Peter GehlerZalandoVerified email at zalando.de
luca schenatoProfessor of Electrical Engineering, University of PadovaVerified email at dei.unipd.it
Ugo GianazzaProfessor of Mathematical Analysis, University of PaviaVerified email at unipv.it
Simone Del FaveroAssistant Professor, Department of Information Engineering, University of PadovaVerified email at dei.unipd.it
Andreas ArgyriouMicrosoft UKVerified email at alum.mit.edu
Damiano VaragnoloDepartment of Engineering Cybernetics, NTNU - Norwegian University of Science and TechnologyVerified email at ntnu.no
Suvrit SraTUM and MITVerified email at mit.edu
Carlos María Alaíz GudínUniversidad Autónoma de MadridVerified email at uam.es
Claudio PerselloUniversity of Twente, Faculty ITCVerified email at utwente.nl

Francesco Dinuzzo

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Machine Learning Statistics Automatic Control Optimization


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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	897	2014
Learning from distributions via Support Measure Machines K Muandet, B Schölkopf, K Fukumizu, F Dinuzzo Advances in Neural Information Processing Systems 25, 2012	230	2012
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	211	2017
Higher order sliding mode controllers with optimal reaching F Dinuzzo, A Ferrara IEEE Transactions on Automatic Control 54 (9), 2126-2136, 2009	182	2009
Electricity Demand Forecasting by Multi-Task Learning JB Fiot, F Dinuzzo IEEE Transactions on Smart Grid 9 (2), 544-551, 2018	131	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	107	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	106	2012
Kernels for linear time invariant system identification F Dinuzzo SIAM Journal on Control and Optimization 53 (5), 3299–3317, 2015	91	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	79	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	46	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	35	2007
A Unifying View of Representer Theorems A Argyriou, F Dinuzzo ICML, 2014	33	2014
Learning output kernels for multi-task problems F Dinuzzo Neurocomputing 118, 119-126, 2013	33	2013
Learning low-rank output kernels F Dinuzzo, K Fukumizu Asian Conference on Machine Learning, 181-196, 2011	22	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	20	2009
Kernel machines with two layers and multiple kernel learning F Dinuzzo arXiv preprint arXiv:1001.2709, 2010	16	2010
Finite-time output stabilization with second order sliding modes F Dinuzzo, A Ferrara Automatica 45 (9), 2169-2171, 2009	13	2009
Claim polarity identification E Aharoni, R Bar-Haim, I Bhattacharya, F Dinuzzo, D Gutfreund, A Saha, ... US Patent 9,632,998, 2017	11	2017
An algebraic characterization of the optimum of regularized kernel methods F Dinuzzo, G De Nicolao Machine learning 74, 315-345, 2009	11	2009
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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