| Histogram intersection kernel for image classification A Barla, F Odone, A Verri Proceedings 2003 international conference on image processing (Cat. No …, 2003 | 437 | 2003 |
| Building kernels from binary strings for image matching F Odone, A Barla, A Verri IEEE Transactions on Image Processing 14 (2), 169-180, 2005 | 153 | 2005 |
| Algebraic stability indicators for ranked lists in molecular profiling G Jurman, S Merler, A Barla, S Paoli, A Galea, C Furlanello Bioinformatics 24 (2), 258-264, 2008 | 128 | 2008 |
| A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients P Fardin, A Barla, S Mosci, L Rosasco, A Verri, R Versteeg, HN Caron, ... Molecular cancer 9, 1-15, 2010 | 102 | 2010 |
| Machine learning methods for predictive proteomics A Barla, G Jurman, S Riccadonna, S Merler, M Chierici, C Furlanello Briefings in bioinformatics 9 (2), 119-128, 2008 | 90 | 2008 |
| Multi-output learning via spectral filtering L Baldassarre, L Rosasco, A Barla, A Verri Machine learning 87, 259-301, 2012 | 85 | 2012 |
| Image kernels A Barla, E Franceschi, F Odone, A Verri Pattern Recognition with Support Vector Machines: First International …, 2002 | 66 | 2002 |
| Discrete changes in glucose metabolism define aging S Ravera, M Podestà, F Sabatini, M Dagnino, D Cilloni, S Fiorini, A Barla, ... Scientific reports 9 (1), 10347, 2019 | 57 | 2019 |
| New miRNA signature heralds human NK cell subsets at different maturation steps: involvement of miR-146a-5p in the regulation of KIR expression S Pesce, M Squillario, M Greppi, F Loiacono, L Moretta, A Moretta, ... Frontiers in immunology 9, 2360, 2018 | 55 | 2018 |
| Gut microbiota in T1DM-onset pediatric patients: machine-learning algorithms to classify microorganisms as disease linked R Biassoni, E Di Marco, M Squillario, A Barla, G Piccolo, E Ugolotti, ... The Journal of Clinical Endocrinology & Metabolism 105 (9), e3114-e3126, 2020 | 48 | 2020 |
| Comparison of clinical outcomes for patients with large choroidal melanoma after primary treatment with enucleation or proton beam radiotherapy C Mosci, FB Lanza, A Barla, S Mosci, J Hérault, L Anselmi, M Truini Ophthalmologica 227 (4), 190-196, 2012 | 41 | 2012 |
| A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes S Fiorini, A Verri, A Tacchino, M Ponzio, G Brichetto, A Barla 2015 37th Annual International Conference of the IEEE engineering in …, 2015 | 39 | 2015 |
| The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines P Fardin, A Barla, S Mosci, L Rosasco, A Verri, L Varesio BMC genomics 10, 1-16, 2009 | 39 | 2009 |
| The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach G Brichetto, M Monti Bragadin, S Fiorini, MA Battaglia, G Konrad, ... Neurological sciences 41, 459-462, 2020 | 36 | 2020 |
| The use of platelet-rich plasma gel in patients with mixed tumour undergoing superficial parotidectomy: a randomized study M Scala, P Mereu, F Spagnolo, M Massa, A Barla, S Mosci, G Forno, ... In vivo 28 (1), 121-124, 2014 | 36 | 2014 |
| Hausdorff kernel for 3D object acquisition and detection A Barla, F Odone, A Verri Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 35 | 2002 |
| Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment B Di Camillo, T Sanavia, M Martini, G Jurman, F Sambo, A Barla, ... PloS one 7 (3), e32200, 2012 | 34 | 2012 |
| A method for robust variable selection with significance assessment. A Barla, S Mosci, L Rosasco, A Verri ESANN, 83-88, 2008 | 34 | 2008 |
| Secondary somatic mutations in G-protein-related pathways and mutation signatures in uveal melanoma F Piaggio, V Tozzo, C Bernardi, M Croce, R Puzone, S Viaggi, S Patrone, ... Cancers 11 (11), 1688, 2019 | 30 | 2019 |
| Advances in dynamic modeling of colorectal cancer signaling-network regions, a path toward targeted therapies L Tortolina, DJ Duffy, M Maffei, N Castagnino, AM Carmody, W Kolch, ... Oncotarget 6 (7), 5041, 2015 | 30 | 2015 |
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at unige.it
