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Alessandro Verri - Publications

Affiliations: 
Università degli Studi di Genova, Genova, Liguria, Italy 
Area:
Learning Theory, Computer Vision
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44 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2017 Rudi A, De Vito E, Verri A, Odone F. Regularized Kernel Algorithms for Support Estimation Frontiers in Applied Mathematics and Statistics. 3. DOI: 10.3389/fams.2017.00023  0.31
2015 Stagliano A, Noceti N, Verri A, Odone F. Online space-variant background modeling with sparse coding. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 24: 2415-28. PMID 25872209 DOI: 10.1109/TIP.2015.2421435  0.32
2014 Salzo S, Masecchia S, Verri A, Barla A. Alternating proximal regularized dictionary learning. Neural Computation. 26: 2855-95. PMID 25248086 DOI: 10.1162/NECO_a_00672  0.367
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  0.654
2013 Zycinski G, Barla A, Squillario M, Sanavia T, Camillo BD, Verri A. Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data. Source Code For Biology and Medicine. 8: 2. PMID 23302187 DOI: 10.1186/1751-0473-8-2  0.311
2013 Villa S, Salzo S, Baldassarre L, Verri A. Accelerated and inexact forward-backward algorithms Siam Journal On Optimization. 23: 1607-1633. DOI: 10.1137/110844805  0.322
2013 Rosasco L, Villa S, Mosci S, Santoro M, Verri A. Nonparametric sparsity and regularization Journal of Machine Learning Research. 14: 1665-1714.  0.582
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  0.66
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  0.649
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  0.667
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  0.614
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  0.602
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  0.577
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  0.589
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.  0.563
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.  0.556
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  0.629
2009 De Mol C, Mosci S, Traskine M, Verri A. A regularized method for selecting nested groups of relevant genes from microarray data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 16: 677-90. PMID 19432538 DOI: 10.1089/cmb.2008.0171  0.322
2009 Destrero A, De Mol C, Odone F, Verri A. A sparsity-enforcing method for learning face features. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 18: 188-201. PMID 19095529 DOI: 10.1109/TIP.2008.2007610  0.35
2009 Destrero A, De Mol C, Odone F, Verri A. A regularized framework for feature selection in face detection and authentication International Journal of Computer Vision. 83: 164-177. DOI: 10.1007/s11263-008-0180-2  0.355
2009 Destrero A, Mosci S, De Mol C, Verri A, Odone F. Feature selection for high-dimensional data Computational Management Science. 6: 25-40. DOI: 10.1007/s10287-008-0070-7  0.355
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  0.662
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  0.549
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.  0.567
2007 Mosci S, Rosasco L, Verri A. Dimensionality reduction and generalization Acm International Conference Proceeding Series. 227: 657-664. DOI: 10.1145/1273496.1273579  0.554
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.  0.578
2006 Delponte E, Isgrò F, Odone F, Verri A. SVD-matching using SIFT features Graphical Models. 68: 415-431. DOI: 10.1016/j.gmod.2006.07.002  0.334
2006 Daliri MR, Delponte E, Verri A, Torre V. Shape categorization using string kernels Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4109: 297-305. DOI: 10.1007/11815921_32  0.736
2005 Camastra F, Verri A. A novel kernel method for clustering. Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 801-5. PMID 15875800 DOI: 10.1109/TPAMI.2005.88  0.318
2005 Odone F, Barla A, Verri A. Building kernels from binary strings for image matching. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 14: 169-80. PMID 15700522 DOI: 10.1109/TIP.2004.840701  0.342
2005 Odone F, Barla A, Franceschi E, Verri A. Web tools to support image classification Proceedings of Spie - the International Society For Optical Engineering. 5670: 197-206. DOI: 10.1117/12.586685  0.309
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  0.598
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.  0.582
2002 Heisele B, Verri A, Poggio T. Learning and vision machines Proceedings of the Ieee. 90: 1164-1176. DOI: 10.1109/JPROC.2002.801450  0.606
2002 Evgeniou T, Poggio T, Pontil M, Verri A. Regularization and statistical learning theory for data analysis Computational Statistics and Data Analysis. 38: 421-432. DOI: 10.1016/S0167-9473(01)00069-X  0.746
2001 Odone F, Trucco E, Verri A. General Purpose Matching of Grey Level Arbitrary Images Lecture Notes in Computer Science. 573-582. DOI: 10.1007/3-540-45129-3_53  0.308
2000 Poggio T, Verri A. Introduction: Learning and vision at CBCL International Journal of Computer Vision. 38: 5-7. DOI: 10.1023/A:1008127215780  0.641
2000 Pittore M, Campani M, Verri A. Learning to recognize visual dynamic events from examples International Journal of Computer Vision. 38: 35-44. DOI: 10.1023/A:1008114700759  0.302
1998 Pontil M, Verri A. Support vector machines for 3D object recognition Ieee Transactions On Pattern Analysis and Machine Intelligence. 20: 637-646. DOI: 10.1109/34.683777  0.332
1992 Orban GA, Lagae L, Verri A, Raiguel S, Xiao D, Maes H, Torre V. First-order analysis of optical flow in monkey brain. Proceedings of the National Academy of Sciences of the United States of America. 89: 2595-9. PMID 1557363 DOI: 10.1073/Pnas.89.7.2595  0.618
1992 Verri A, Straforini M, Torre V. Computational aspects of motion perception in natural and artificial vision systems. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 337: 429-43. PMID 1359590 DOI: 10.1098/rstb.1992.0119  0.603
1992 Campani M, Verri A. Motion analysis from first-order properties of optical flow Cvgip: Image Understanding. 56: 90-107. DOI: 10.1016/1049-9660(92)90088-K  0.319
1989 Verri A, Poggio T. Motion field and optical flow: qualitative properties Ieee Transactions On Pattern Analysis and Machine Intelligence. 11: 490-498. DOI: 10.1109/34.24781  0.619
1988 Uras S, Girosi F, Verri A, Torre V. A computational approach to motion perception Biological Cybernetics. 60: 79-87. DOI: 10.1007/Bf00202895  0.333
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