Annalisa Barla
Annalisa Barla
Associate Professor at Computer Science Department, University of Genoa, Italy
Verified email at
Cited by
Cited by
Histogram intersection kernel for image classification
A Barla, F Odone, A Verri
Proceedings 2003 international conference on image processing (Cat. No …, 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
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
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
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
Multi-output learning via spectral filtering
L Baldassarre, L Rosasco, A Barla, A Verri
Machine learning 87, 259-301, 2012
Image kernels
A Barla, E Franceschi, F Odone, A Verri
Pattern Recognition with Support Vector Machines: First International …, 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
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
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
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
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
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
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
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
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
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
A method for robust variable selection with significance assessment.
A Barla, S Mosci, L Rosasco, A Verri
ESANN, 83-88, 2008
Vector field learning via spectral filtering
L Baldassarre, L Rosasco, A Barla, A Verri
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
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
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