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Francesco Dinuzzo
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2010 – 2019
- 2018
- [j12]Jean-Baptiste Fiot
, Francesco Dinuzzo:
Electricity Demand Forecasting by Multi-Task Learning. IEEE Trans. Smart Grid 9(2): 544-551 (2018) - 2017
- [c11]Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim:
Stance Classification of Context-Dependent Claims. EACL (1) 2017: 251-261 - 2015
- [j11]Francesco Dinuzzo:
Kernels for Linear Time Invariant System Identification. SIAM J. Control. Optim. 53(5): 3299-3317 (2015) - [i8]Jean-Baptiste Fiot, Francesco Dinuzzo:
Electricity Demand Forecasting by Multi-Task Learning. CoRR abs/1512.08178 (2015) - 2014
- [j10]Gianluigi Pillonetto, Francesco Dinuzzo, Tianshi Chen
Kernel methods in system identification, machine learning and function estimation: A survey. Autom. 50(3): 657-682 (2014) - [c10]Andreas Argyriou, Francesco Dinuzzo:
A Unifying View of Representer Theorems. ICML 2014: 748-756 - 2013
- [j9]Francesco Dinuzzo:
Learning output kernels for multi-task problems. Neurocomputing 118: 119-126 (2013) - [j8]Damiano Varagnolo
Finding Potential Support Vectors in Separable Classification Problems. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1799-1813 (2013) - [i7]Francesco Dinuzzo:
Learning Output Kernels for Multi-Task Problems. CoRR abs/1301.3816 (2013) - 2012
- [c9]Claudio Persello
Interactive domain adaptation technique for the classification of remote sensing images. IGARSS 2012: 6872-6875 - [c8]Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, Bernhard Schölkopf:
Learning from Distributions via Support Measure Machines. NIPS 2012: 10-18 - [c7]Francesco Dinuzzo, Bernhard Schölkopf:
The representer theorem for Hilbert spaces: a necessary and sufficient condition. NIPS 2012: 189-196 - [i6]Krikamol Muandet, Bernhard Schölkopf, Kenji Fukumizu, Francesco Dinuzzo:
Learning from Distributions via Support Measure Machines. CoRR abs/1202.6504 (2012) - [i5]Francesco Dinuzzo:
Kernels for linear time invariant system identification. CoRR abs/1203.4930 (2012) - [i4]Francesco Dinuzzo, Bernhard Schölkopf:
The representer theorem for Hilbert spaces: a necessary and sufficient condition. CoRR abs/1205.1928 (2012) - 2011
- [j7]Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao:
Client-Server Multitask Learning From Distributed Datasets. IEEE Trans. Neural Networks 22(2): 290-303 (2011) - [j6]Francesco Dinuzzo:
Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods. IEEE Trans. Neural Networks 22(10): 1576-1587 (2011) - [c6]Simone Del Favero
On the discardability of data in support vector classification problems. CDC/ECC 2011: 3210-3215 - [c5]Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto:
Learning Output Kernels with Block Coordinate Descent. ICML 2011: 49-56 - [c4]Francesco Dinuzzo, Kenji Fukumizu:
Learning low-rank output kernels. ACML 2011: 181-196 - 2010
- [j5]Gianluigi Pillonetto, Francesco Dinuzzo, Giuseppe De Nicolao:
Bayesian Online Multitask Learning of Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 32(2): 193-205 (2010) - [i3]Francesco Dinuzzo:
Kernel machines with two layers and multiple kernel learning. CoRR abs/1001.2709 (2010) - [i2]Francesco Dinuzzo:
Fixed-point and coordinate descent algorithms for regularized kernel methods. CoRR abs/1008.5090 (2010)
2000 – 2009
- 2009
- [j4]Francesco Dinuzzo, Antonella Ferrara
Finite-time output stabilization with second order sliding modes. Autom. 45(9): 2169-2171 (2009) - [j3]Francesco Dinuzzo, Giuseppe De Nicolao:
An algebraic characterization of the optimum of regularized kernel methods. Mach. Learn. 74(3): 315-345 (2009) - [j2]Francesco Dinuzzo, Antonella Ferrara
Higher Order Sliding Mode Controllers With Optimal Reaching. IEEE Trans. Autom. Control. 54(9): 2126-2136 (2009) - [c3]Michael V. Basin
Sliding mode optimal regulator for a bolza-meyer criterion with non-quadratic state energy terms. ACC 2009: 4951-4955 - [c2]Francesco Dinuzzo:
A second order sliding mode controller with polygonal constraints. CDC 2009: 6715-6719 - 2008
- [c1]Gianluigi Pillonetto, Francesco Dinuzzo, Giuseppe De Nicolao:
Bayesian online multi-task learning using regularization networks. ACC 2008: 4517-4522 - [i1]Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao:
Client-server multi-task learning from distributed datasets. CoRR abs/0812.4235 (2008) - 2007
- [j1]Francesco Dinuzzo, Marta Neve, Giuseppe De Nicolao, Ugo Pietro Gianazza:
On the Representer Theorem and Equivalent Degrees of Freedom of SVR. J. Mach. Learn. Res. 8: 2467-2495 (2007)
Coauthor Index
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