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Francesco Dinuzzo
Dr.
Position: Research Scientist
Room no.: 226
Phone: +49 7071 601
Fax: +49 7071 601 552

Personal web page.


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2014
Articles
  • G. Pillonetto, F. Dinuzzo, T. Chen, G. De Nicolao, L. Ljung (2014). Kernel methods in system identification, machine learning and function estimation: A survey Automatica, 50, (3), 657-682
Conference Papers
  • A. Argyriou, F. Dinuzzo (2014). A unifying view of representer theorems In: Proceedings of the 31th International Conference on Machine Learning, JMLR: W&CP volume 32, ICML 2014
2013
Articles
  • D. Varagnolo, SD. Favero, F. Dinuzzo, L. Schenato, G. Pillonetto (2013). Finding Potential Support Vectors in Separable Classification Problems IEEE Transactions on Neural Networks and Learning Systems
Conference Papers
  • F. Dinuzzo, CS. Ong, K. Fukumizu (2013). Output Kernel Learning Methods In: International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications, ROKS 2013
2012
Conference Papers
  • C. Persello, F. Dinuzzo (2012). Interactive Domain Adaptation Technique for the Classification of Remote Sensing Images IEEE, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012)
  • F. Dinuzzo, B. Schölkopf (2012). The representer theorem for Hilbert spaces: a necessary and sufficient condition In: Advances in Neural Information Processing Systems 25, (Ed) P Bartlett, FCN Pereira, CJC. Burges, L Bottou, and KQ Weinberger, Curran Associates Inc., 189–196, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
  • K. Muandet, K. Fukumizu, F. Dinuzzo, B. Schölkopf (2012). Learning from distributions via support measure machines In: Advances in Neural Information Processing Systems 25, (Ed) P Bartlett, FCN Pereira, CJC. Burges, L Bottou, and KQ Weinberger, Curran Associates Inc., 10–18, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
Posters
2011
Articles
  • F. Dinuzzo (2011). Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods IEEE Transactions on Neural Networks, 22, (10), 1576-1587
  • Dinuzzo, F. and Pillonetto, G. and De Nicolao, G. (2011). Client–Server Multitask Learning From Distributed Datasets IEEE Transactions on Neural Networks, 22, (2), 290-303
Conference Papers
  • F. Dinuzzo, CS. Ong, PV. Gehler, G. Pillonetto (2011). Learning output kernels with block coordinate descent (Ed) Getoor, L. , T. Scheffer, International Machine Learning Society, Madison, WI, USA, 49-56, ISBN: 978-1-450-30619-5, 28th International Conference on Machine Learning (ICML 2011)
  • F. Dinuzzo, K. Fukumizu (2011). Learning low-rank output kernels In: JMLR Workshop and Conference Proceedings Volume 20, (Ed) Hsu, C.-N. , W.S. Lee, JMLR, Cambridge, MA, USA, 181-196, 3rd Asian Conference on Machine Learning (ACML 2011)
  • S. Del Favero, D. Varagnolo, F. Dinuzzo, L. Schenato, G. Pillonetto (2011). On the discardability of data in Support Vector Classification problems IEEE, Piscataway, NJ, USA, 3210-3215, ISBN: 978-1-61284-800-6, 50th IEEE Conference on Decision and Control and European Control Conference (CDC - ECC 2011)
Theses
  • Dinuzzo, F. (2011). Learning functions with kernel methods University of Pavia
2010
Articles
  • Pillonetto, G. and Dinuzzo, F. and De Nicolao, G. (2010). Bayesian Online Multitask Learning of Gaussian Processes IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, (2), 193-205
  • Dinuzzo, F. (2010). Learning functional dependencies with kernel methods Scientifica Acta, 4, (1), MS 16-25
2009
Articles
  • Dinuzzo, F. and De Nicolao, G. (2009). An algebraic characterization of the optimum of regularized kernel methods Machine Learning, 74, (3), 315-345
  • Dinuzzo, F. and Ferrara, A. (2009). Finite-time output stabilization with second order sliding modes Automatica, 45, (9), 2169-2171
  • Dinuzzo, F. and Ferrara, A. (2009). Higher order sliding mode controllers with optimal reaching IEEE Transactions on Automatic Control, 54, (9), 2126-2136
Conference Papers
  • Dinuzzo, F. (2009). A second order sliding mode controller with polygonal constraints IEEE, Piscataway, NJ, USA, 6715-6719, ISBN: 978-1-4244-3871-6, 48th IEEE Conference on Decision and Control (CDC 2009)
2008
Conference Papers
  • Pillonetto, G. and Dinuzzo, F. and De Nicolao, G. (2008). Bayesian online multi-task learning using regularization networks IEEE Service Center, Piscataway, NJ, USA, 4517-4522, ISBN: 978-1-424-42079-7, 2008 American Control Conference (ACC 2008)
2007
Articles
  • Dinuzzo, F. and Neve, M. and De Nicolao, G. and Gianazza, UP. (2007). On the Representer Theorem and Equivalent Degrees of Freedom of SVR Journal of Machine Learning Research, 8, 2467-2495
Contributions to books
  • Dinuzzo, F. and De Nicolao, G. (2007). Some comments on ν-SVM In: A tribute to Antonio Lepschy, (Ed) Picci, G. , M. E. Valcher, Edizione Libreria Progetto, Padova, Italy, -