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), 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
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
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
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
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 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
A method for robust variable selection with significance assessment.
A Barla, S Mosci, L Rosasco, A Verri
ESANN, 83-88, 2008
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
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
Vector field learning via spectral filtering
L Baldassarre, L Rosasco, A Barla, A Verri
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
Old fashioned state-of-the-art image classification
A Barla, F Odone, A Verri
12th International Conference on Image Analysis and Processing, 2003 …, 2003
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
The system can't perform the operation now. Try again later.
Articles 1–20