Giuliano Grossi
Giuliano Grossi
Associate professor at Computer Science Department, University of Milan, Italy
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Citata da
Citata da
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
Positive technology for elderly well-being: A review
G Grossi, R Lanzarotti, P Napoletano, N Noceti, F Odone
Pattern recognition letters 137, 61-70, 2020
An open framework for remote-PPG methods and their assessment
G Boccignone, D Conte, V Cuculo, A d’Amelio, G Grossi, R Lanzarotti
IEEE Access 8, 216083-216103, 2020
ECG compression retaining the best natural basis k-coefficients via sparse decomposition
A Adamo, G Grossi, R Lanzarotti, J Lin
Biomedical Signal Processing and Control 15, 11-17, 2015
An approximation algorithm for the maximum cut problem and its experimental analysis
A Bertoni, P Campadelli, G Grossi
Discrete Applied Mathematics 110 (1), 3-12, 2001
High-rate compression of ECG signals by an accuracy-driven sparsity model relying on natural basis
G Grossi, R Lanzarotti, J Lin
Digital Signal Processing 45, 96-106, 2015
Robust single-sample face recognition by sparsity-driven sub-dictionary learning using deep features
V Cuculo, A D’Amelio, G Grossi, R Lanzarotti, J Lin
Sensors 19 (1), 146, 2019
A neural algorithm for the maximum clique problem: analysis, experiments, and circuit implementation
A Bertoni, P Campadelli, G Grossi
Algorithmica 33, 71-88, 2002
A genetic model: analysis and application to MAXSAT.
A Bertoni, P Campadelli, M Carpentieri, G Grossi
Evolutionary Computation 8 (3), 291-309, 2000
A two-level social mobility model for trace generation
S Gaito, G Grossi, F Pedersini
Proceedings of the 9th ACM international symposium on Mobile ad hocá…, 2008
Single sample face recognition by sparse recovery of deep-learned lda features
M Bodini, A D’Amelio, G Grossi, R Lanzarotti, J Lin
Advanced Concepts for Intelligent Vision Systems: 19th Internationalá…, 2018
Orthogonal procrustes analysis for dictionary learning in sparse linear representation
G Grossi, R Lanzarotti, J Lin
PloS one 12 (1), e0169663, 2017
Hardware-accelerated high-resolution video coding in virtual network functions
P Comi, PS Crosta, M Beccari, P Paglierani, G Grossi, F Pedersini, ...
2016 European Conference on Networks and Communications (EuCNC), 32-36, 2016
Deep construction of an affective latent space via multimodal enactment
G Boccignone, D Conte, V Cuculo, A D’Amelio, G Grossi, R Lanzarotti
IEEE Transactions on Cognitive and Developmental Systems, 2018
Sum signal dosimetry: A new approach for high dose quality assurance with Gafchromic EBT 3
D Cusumano, ML Fumagalli, F Ghielmetti, L Rossi, G Grossi, R Lanzarotti, ...
Journal of applied clinical medical physics 18 (2), 181-190, 2017
A genetic model and the Hopfield networks
A Bertoni, P Campadelli, M Carpentieri, G Grossi
Artificial Neural Networks—ICANN 96: 1996 International Conference Bochumá…, 1996
A neural algorithm for MAX-2SAT: performance analysis and circuit implementation
MA Alberti, A Bertoni, P Campadelli, G Grossi, R Posenato
Neural Networks 10 (3), 555-560, 1997
Robust face recognition using sparse representation in LDA space
A Adamo, G Grossi, R Lanzarotti, J Lin
Machine Vision and Applications 26, 837-847, 2015
Give ear to my face: modelling multimodal attention to social interactions
G Boccignone, V Cuculo, A D'Amelio, G Grossi, R Lanzarotti
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization
G Grossi, F Pedersini
Neural networks 21 (6), 872-879, 2008
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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