Year |
Citation |
Score |
2020 |
Anselmi F, Patel A, Rosasco L. Neurally plausible mechanisms for learning selective and invariant representations. Journal of Mathematical Neuroscience. 10: 12. PMID 32809093 DOI: 10.1186/s13408-020-00088-7 |
0.408 |
|
2020 |
Garrigos G, Rosasco L, Villa S. Thresholding gradient methods in Hilbert spaces: support identification and linear convergence Esaim: Control, Optimisation and Calculus of Variations. 26: 28. DOI: 10.1051/Cocv/2019011 |
0.387 |
|
2020 |
Lin J, Rudi A, Rosasco L, Cevher V. Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces Applied and Computational Harmonic Analysis. 48: 868-890. DOI: 10.1016/J.Acha.2018.09.009 |
0.362 |
|
2019 |
Pasquale G, Ciliberto C, Odone F, Rosasco L, Natale L. Are we done with object recognition? The iCub robot’s perspective Robotics and Autonomous Systems. 112: 260-281. DOI: 10.1016/J.Robot.2018.11.001 |
0.322 |
|
2019 |
Anselmi F, Evangelopoulos G, Rosasco L, Poggio TA. Symmetry-adapted representation learning Pattern Recognition. 86: 201-208. DOI: 10.1016/J.Patcog.2018.07.025 |
0.608 |
|
2019 |
Rosasco L, Villa S, Vũ BC. Convergence of Stochastic Proximal Gradient Algorithm Applied Mathematics and Optimization. 1-27. DOI: 10.1007/S00245-019-09617-7 |
0.379 |
|
2018 |
Lin J, Rosasco L. Generalization properties of doubly stochastic learning algorithms Journal of Complexity. 47: 42-61. DOI: 10.1016/J.Jco.2018.02.004 |
0.436 |
|
2018 |
Garrigos G, Rosasco L, Villa S. Iterative Regularization via Dual Diagonal Descent Journal of Mathematical Imaging and Vision. 60: 189-215. DOI: 10.1007/S10851-017-0754-0 |
0.388 |
|
2018 |
Lin J, Rosasco L, Villa S, Zhou D. Modified Fejér sequences and applications Computational Optimization and Applications. 71: 95-113. DOI: 10.1007/S10589-017-9962-1 |
0.364 |
|
2017 |
Rosasco L, Villa S, Vu BC. A First-Order Stochastic Primal-Dual Algorithm with Correction Step Numerical Functional Analysis and Optimization. 38: 602-626. DOI: 10.1080/01630563.2016.1254243 |
0.335 |
|
2017 |
Poggio TA, Mhaskar H, Rosasco L, Miranda B, Liao Q. Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review International Journal of Automation and Computing. 14: 503-519. DOI: 10.1007/S11633-017-1054-2 |
0.564 |
|
2016 |
Anselmi F, Rosasco L, Poggio TA. On invariance and selectivity in representation learning Information and Inference: a Journal of the Ima. 5: 134-158. DOI: 10.1093/Imaiai/Iaw009 |
0.605 |
|
2016 |
Rosasco L, Villa S, Vũ BC. A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions Optimization. 1-22. DOI: 10.1080/02331934.2015.1127371 |
0.372 |
|
2016 |
Rosasco L, Villa S, Vũ BC. Stochastic Forward–Backward Splitting for Monotone Inclusions Journal of Optimization Theory and Applications. 169: 388-406. DOI: 10.1007/s10957-016-0893-2 |
0.343 |
|
2015 |
Breschi GL, Ciliberto C, Nieus T, Rosasco L, Taverna S, Chiappalone M, Pasquale V. Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig. Computational Intelligence and Neuroscience. 2015: 359590. PMID 26290660 DOI: 10.1155/2015/359590 |
0.325 |
|
2014 |
Zhang C, Evangelopoulos G, Voinea S, Rosasco L, Poggio T. A deep representation for invariance and music classification Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6984-6988. DOI: 10.1109/ICASSP.2014.6854954 |
0.474 |
|
2014 |
Anselmi F, Leibo JZ, Rosasco L, Mutch J, Tacchetti A, Poggio T. Unsupervised learning of invariant representations Theoretical Computer Science. DOI: 10.1016/J.Tcs.2015.06.048 |
0.735 |
|
2014 |
De Vito E, Rosasco L, Toigo A. Learning sets with separating kernels Applied and Computational Harmonic Analysis. 37: 185-217. DOI: 10.1016/j.acha.2013.11.003 |
0.435 |
|
2014 |
Villa S, Rosasco L, Mosci S, Verri A. Proximal methods for the latent group lasso penalty Computational Optimization and Applications. 58: 381-407. DOI: 10.1007/s10589-013-9628-6 |
0.582 |
|
2014 |
Zhang C, Voinea S, Evangelopoulos G, Rosasco L, Poggio T. Phone classification by a hierarchy of invariant representation layers Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2346-2350. |
0.436 |
|
2014 |
Voinea S, Zhang C, Evangelopoulos G, Rosasco L, Poggio T. Word-level invariant representations from acoustic waveforms Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2385-2389. |
0.412 |
|
2013 |
Villa S, Rosasco L, Poggio T. On learnability, complexity and stability Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik. 59-69. DOI: 10.1007/978-3-642-41136-6_7 |
0.391 |
|
2013 |
Rosasco L, Villa S, Mosci S, Santoro M, Verri A. Nonparametric sparsity and regularization Journal of Machine Learning Research. 14: 1665-1714. |
0.48 |
|
2012 |
Mosci S, Rosasco L, Santoro M, Verri A, Villa S. Is there sparsity beyond additive models? Ifac Proceedings Volumes (Ifac-Papersonline). 16: 971-976. DOI: 10.3182/20120711-3-BE-2027.00364 |
0.607 |
|
2012 |
Villa S, Rosasco L, Mosci S, Verri A. Consistency of learning algorithms using Attouch-Wets convergence Optimization. 61: 287-305. DOI: 10.1080/02331934.2010.511671 |
0.608 |
|
2012 |
Baldassarre L, Rosasco L, Barla A, Verri A. Multi-output learning via spectral filtering Machine Learning. 87: 259-301. DOI: 10.1007/s10994-012-5282-y |
0.61 |
|
2012 |
Mroueh Y, Poggio T, Rosasco L, Slotine JJE. Multiclass learning with simplex coding Advances in Neural Information Processing Systems. 4: 2789-2797. |
0.494 |
|
2012 |
Canas GD, Poggio T, Rosasco LA. Learning manifolds with k-means and k-flats Advances in Neural Information Processing Systems. 3: 2465-2473. |
0.456 |
|
2010 |
Fardin P, Cornero A, Barla A, Mosci S, Acquaviva M, Rosasco L, Gambini C, Verri A, Varesio L. Identification of multiple hypoxia signatures in neuroblastoma cell lines by l1-l2 regularization and data reduction. Journal of Biomedicine & Biotechnology. 2010: 878709. PMID 20652058 DOI: 10.1155/2010/878709 |
0.51 |
|
2010 |
Fardin P, Barla A, Mosci S, Rosasco L, Verri A, Versteeg R, Caron HN, Molenaar JJ, Ora I, Eva A, Puppo M, Varesio L. A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients. Molecular Cancer. 9: 185. PMID 20624283 DOI: 10.1186/1476-4598-9-185 |
0.437 |
|
2010 |
de Vito E, Pereverzyev S, Rosasco L. Adaptive kernel methods using the balancing principle Foundations of Computational Mathematics. 10: 455-479. DOI: 10.1007/s10208-010-9064-2 |
0.378 |
|
2010 |
Smale S, Rosasco L, Bouvrie J, Caponnetto A, Poggio T. Mathematics of the neural response Foundations of Computational Mathematics. 10: 67-91. DOI: 10.1007/S10208-009-9049-1 |
0.506 |
|
2010 |
Mosci S, Rosasco L, Santoro M, Verri A, Villa S. Solving structured sparsity regularization with proximal methods Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6322: 418-433. DOI: 10.1007/978-3-642-15883-4_27 |
0.457 |
|
2010 |
Baldassarre L, Rosasco L, Barla A, Verri A. Vector field learning via spectral filtering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6321: 56-71. DOI: 10.1007/978-3-642-15880-3_10 |
0.497 |
|
2010 |
Rosasco L, Santoro M, Mosci S, Verri A, Villa S. A regularization approach to nonlinear variable selection Journal of Machine Learning Research. 9: 653-660. |
0.428 |
|
2010 |
Mosci S, Villa S, Verri A, Rosasco L. A primal-dual algorithm for group sparse regularization with overlapping groups Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.464 |
|
2009 |
Fardin P, Barla A, Mosci S, Rosasco L, Verri A, Varesio L. The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines. Bmc Genomics. 10: 474. PMID 19832978 DOI: 10.1186/1471-2164-10-474 |
0.533 |
|
2009 |
De Mol C, De Vito E, Rosasco L. Elastic-net regularization in learning theory Journal of Complexity. 25: 201-230. DOI: 10.1016/j.jco.2009.01.002 |
0.397 |
|
2009 |
Bouvrie J, Rosasco L, Poggio T. On invariance in hierarchical models Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 162-170. |
0.409 |
|
2008 |
Lo Gerfo L, Rosasco L, Odone F, De Vito E, Verri A. Spectral algorithms for supervised learning. Neural Computation. 20: 1873-97. PMID 18254698 DOI: 10.1162/neco.2008.05-07-517 |
0.614 |
|
2008 |
Mosci S, Verri A, Barla A, Rosasco L. Finding structured gene signatures Proceedings - 2008 Ieee International Conference On Bioinformatics and Biomedicine Workshops, Bibmw. 158-165. DOI: 10.1109/BIBMW.2008.4686230 |
0.411 |
|
2008 |
Barla A, Mosci S, Rosasco L, Verri A. A method for robust variable selection with significance assessment Esann 2008 Proceedings, 16th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning. 83-88. |
0.437 |
|
2007 |
Mosci S, Rosasco L, Verri A. Dimensionality reduction and generalization Acm International Conference Proceeding Series. 227: 657-664. DOI: 10.1145/1273496.1273579 |
0.431 |
|
2007 |
Bauer F, Pereverzev S, Rosasco L. On regularization algorithms in learning theory Journal of Complexity. 23: 52-72. DOI: 10.1016/j.jco.2006.07.001 |
0.464 |
|
2007 |
Yao Y, Rosasco L, Caponnetto A. On early stopping in gradient descent learning Constructive Approximation. 26: 289-315. DOI: 10.1007/s00365-006-0663-2 |
0.433 |
|
2007 |
Caponnetto A, Rosasco L, Odone F, Verri A. Support vectors algorithms as regularization networks Esann 2005 Proceedings - 13th European Symposium On Artificial Neural Networks. 595-600. |
0.476 |
|
2006 |
Vito ED, Rosasco L, Caponnetto A. Discretization Error Analysis For Tikhonov Regularization Analysis and Applications. 4: 81-99. DOI: 10.1142/S0219530506000711 |
0.37 |
|
2005 |
De Vito E, Caponnetto A, Rosasco L. Model selection for regularized least-squares algorithm in learning theory Foundations of Computational Mathematics. 5: 59-85. DOI: 10.1007/s10208-004-0134-1 |
0.405 |
|
2004 |
Rosasco L, De Vito E, Caponnetto A, Piana M, Verri A. Are loss functions all the same? Neural Computation. 16: 1063-76. PMID 15070510 DOI: 10.1162/089976604773135104 |
0.514 |
|
2004 |
De Vito E, Rosasco L, Caponnetto A, Piana M, Verri A. Some properties of regularized kernel methods Journal of Machine Learning Research. 5: 1363-1390. |
0.464 |
|
Low-probability matches (unlikely to be authored by this person) |
2017 |
Little AV, Maggioni M, Rosasco L. Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature Applied and Computational Harmonic Analysis. 43: 504-567. DOI: 10.1016/J.ACHA.2015.09.009 |
0.294 |
|
2022 |
Letizia M, Losapio G, Rando M, Grosso G, Wulzer A, Pierini M, Zanetti M, Rosasco L. Learning new physics efficiently with nonparametric methods. The European Physical Journal. C, Particles and Fields. 82: 879. PMID 36212113 DOI: 10.1140/epjc/s10052-022-10830-y |
0.29 |
|
2005 |
De Vito E, Rosasco L, Caponnetto A, De Giovannini U, Odone F. Learning from examples as an inverse problem Journal of Machine Learning Research. 6. |
0.283 |
|
2005 |
Rosasco L, Caponnetto A, De Vito E, De Giovannini U, Odone F. Learning, regularization and ill-posed inverse problems Advances in Neural Information Processing Systems. |
0.279 |
|
2016 |
Pasquale G, Mar T, Ciliberto C, Rosasco L, Natale L. Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives Frontiers in Robotics and Ai. 3: 35. DOI: 10.3389/Frobt.2016.00035 |
0.279 |
|
2020 |
Maiettini E, Pasquale G, Rosasco L, Natale L. On-line object detection: a robotics challenge Autonomous Robots. 44: 739-757. DOI: 10.1007/S10514-019-09894-9 |
0.273 |
|
2013 |
Tacchetti A, Mallapragada PK, Rosasco L, Santoro M. Gurls: A least squares library for supervised learning Journal of Machine Learning Research. 14: 3201-3205. |
0.268 |
|
2020 |
Lu X, Rudi A, Borgonovo E, Rosasco L. Faster kriging: facing high-dimensional simulators Operations Research. 68: 233-249. DOI: 10.1287/Opre.2019.1860 |
0.256 |
|
2020 |
Cecini E, Vito ED, Rosasco L. Multi-Scale Vector Quantization with Reconstruction Trees Information and Inference: a Journal of the Ima. DOI: 10.1093/Imaiai/Iaa004 |
0.238 |
|
2020 |
Vito ED, Mucke N, Rosasco L. Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces Analysis and Applications. DOI: 10.1142/S0219530520400114 |
0.237 |
|
2013 |
Rudi A, Canas GD, Rosasco L. On the sample complexity of subspace learning Advances in Neural Information Processing Systems. |
0.235 |
|
2009 |
Rosasco L, Belkin M, De Vito E. A note on learning with integral operators Colt 2009 - the 22nd Conference On Learning Theory. |
0.217 |
|
2010 |
Rosasco L, Belkin M, De Vito E. On learning with integral operators Journal of Machine Learning Research. 11: 905-934. |
0.215 |
|
2009 |
Noceti N, Caputo B, Castellini C, Baldassarre L, Barla A, Rosasco L, Odone F, Sandini G. Towards a theoretical framework for learning multi-modal patterns for embodied agents Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5716: 239-248. DOI: 10.1007/978-3-642-04146-4_27 |
0.215 |
|
2013 |
Ciliberto C, Fanello SR, Santoro M, Natale L, Metta G, Rosasco L. On the impact of learning hierarchical representations for visual recognition in robotics Ieee International Conference On Intelligent Robots and Systems. 3759-3764. DOI: 10.1109/IROS.2013.6696893 |
0.198 |
|
2023 |
Maracani A, Pastore VP, Natale L, Rosasco L, Odone F. In-domain versus out-of-domain transfer learning in plankton image classification. Scientific Reports. 13: 10443. PMID 37369770 DOI: 10.1038/s41598-023-37627-7 |
0.196 |
|
2020 |
Duan A, Camoriano R, Ferigo D, Huang Y, Calandriello D, Rosasco L, Pucci D. Learning to Avoid Obstacles With Minimal Intervention Control. Frontiers in Robotics and Ai. 7: 60. PMID 33501228 DOI: 10.3389/frobt.2020.00060 |
0.19 |
|
2012 |
Canas GD, Rosasco LA. Learning probability measures with respect to optimal transport metrics Advances in Neural Information Processing Systems. 4: 2492-2500. |
0.188 |
|
2009 |
Del Bono V, Mularoni A, Furfaro E, Delfino E, Rosasco L, Miletich F, Viscoli C. Clinical evaluation of a (1,3)-beta-D-glucan assay for presumptive diagnosis of Pneumocystis jiroveci pneumonia in immunocompromised patients. Clinical and Vaccine Immunology : Cvi. 16: 1524-6. PMID 19692624 DOI: 10.1128/CVI.00276-09 |
0.185 |
|
2022 |
Rigolli N, Magnoli N, Rosasco L, Seminara A. Learning to predict target location with turbulent odor plumes. Elife. 11. PMID 35959726 DOI: 10.7554/eLife.72196 |
0.122 |
|
2011 |
Álvarez MA, Rosasco L, Lawrence ND. Kernels for vector-valued functions: A review Foundations and Trends in Machine Learning. 4: 195-266. DOI: 10.1561/2200000036 |
0.092 |
|
2010 |
De Vito E, Rosasco L, Toigo A. Spectral regularization for support estimation Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.071 |
|
2013 |
Fanello SR, Ciliberto C, Santoro M, Natale L, Metta G, Rosasco L, Odone F. ICub world: Friendly robots help building good vision data-sets Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. 700-705. DOI: 10.1109/CVPRW.2013.106 |
0.069 |
|
2014 |
Mroueh Y, Rosasco L. On efficiency and low sample complexity in phase retrieval Ieee International Symposium On Information Theory - Proceedings. 931-935. DOI: 10.1109/ISIT.2014.6874969 |
0.056 |
|
2014 |
Ciliberto C, Fiorio L, Maggiali M, Natale L, Rosasco L, Metta G, Sandini G, Nori F. Exploiting global force torque measurements for local compliance estimation in tactile arrays Ieee International Conference On Intelligent Robots and Systems. 3994-3999. DOI: 10.1109/IROS.2014.6943124 |
0.024 |
|
1974 |
Rosasco LC. Of nursing practice and nurse practitioners. Hospitals. 48: 107-10. PMID 4832287 |
0.01 |
|
1974 |
Rosasco LC. Collective bargaining: what's a director of nursing to do? Hospitals. 48: 79-80, 82-3, 113. PMID 4416955 |
0.01 |
|
Hide low-probability matches. |