Jianyi Lin
Cited by
Cited by
STRING v9. 1: protein-protein interaction networks, with increased coverage and integration
A Franceschini, D Szklarczyk, S Frankild, M Kuhn, M Simonovic, A Roth, ...
Nucleic acids research 41 (D1), D808-D815, 2012
SVD-phy: improved prediction of protein functional associations through singular value decomposition of phylogenetic profiles
A Franceschini, J Lin, C von Mering, LJ Jensen
Bioinformatics 32 (7), 1085-1087, 2016
RANKS: a flexible tool for node label ranking and classification in biological networks
G Valentini, G Armano, M Frasca, J Lin, M Mesiti, M Re
Bioinformatics 32 (18), 2872-2874, 2016
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
A derivation of the statistical characteristics of forest fires
J Lin, S Rinaldi
Ecological Modelling 220 (7), 898-903, 2009
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
Size constrained distance clustering: separation properties and some complexity results
A Bertoni, M Goldwurm, J Lin, F Sacca
Fundamenta Informaticae 115 (1), 125-139, 2012
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
Orthogonal procrustes analysis for dictionary learning in sparse linear representation
G Grossi, R Lanzarotti, J Lin
PloS one 12 (1), e0169663, 2017
Robust face recognition providing the identity and its reliability degree combining sparse representation and multiple features
G Grossi, R Lanzarotti, J Lin
International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016
Robust face recognition using sparse representation in LDA space
A Adamo, G Grossi, R Lanzarotti, J Lin
Machine Vision and Applications 26 (6), 837-847, 2015
Single sample face recognition by sparse recovery of deep-learned lda features
M Bodini, A D’Amelio, G Grossi, R Lanzarotti, J Lin
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2018
Sparse decomposition by iterating Lipschitzian-type mappings
A Adamo, G Grossi, R Lanzarotti, J Lin
Theoretical Computer Science 664, 12-28, 2017
IFSM fractal image compression with entropy and sparsity constraints: A sequential quadratic programming approach
H Kunze, D La Torre, J Lin
AIP Conference Proceedings 1798 (1), 020090, 2017
Exact algorithms for size constrained clustering
J Lin
Università degli Studi di Milano, 2012
Size-constrained 2-clustering in the plane with Manhattan distance.
A Bertoni, M Goldwurm, J Lin, L Pini
ICTCS, 33-44, 2014
Short-term classification learning promotes rapid global improvements of information processing in human brain functional connectome
AG Zippo, I Castiglioni, J Lin, VM Borsa, M Valente, GEM Biella
Frontiers in human neuroscience 13, 462, 2020
A local limit property for pattern statistics in bicomponent stochastic models
M Goldwurm, J Lin, M Vignati
International Conference on Descriptional Complexity of Formal Systems, 114-125, 2018
A note on modelling a somatic motor space for affective facial expressions
A D’Amelio, V Cuculo, G Grossi, R Lanzarotti, J Lin
International Conference on Image Analysis and Processing, 181-188, 2017
Within network learning on big graphs using secondary memory-based random walk kernels
J Lin, M Mesiti, M Re, G Valentini
Complex Networks & Their Applications V 693, 235-245, 2016
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