| 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 | 3674 | 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 | 52 | 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 | 32 | 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 | 26 | 2015 |
| A derivation of the statistical characteristics of forest fires J Lin, S Rinaldi Ecological Modelling 220 (7), 898-903, 2009 | 26 | 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 | 21 | 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 | 14 | 2012 |
| Orthogonal procrustes analysis for dictionary learning in sparse linear representation G Grossi, R Lanzarotti, J Lin PloS one 12 (1), e0169663, 2017 | 13 | 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 | 12 | 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 | 12 | 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 | 11 | 2019 |
| 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 | 10 | 2018 |
| Sparse decomposition by iterating Lipschitzian-type mappings A Adamo, G Grossi, R Lanzarotti, J Lin Theoretical Computer Science 664, 12-28, 2017 | 8 | 2017 |
| Exact algorithms for size constrained clustering J Lin Università degli Studi di Milano, 2012 | 4 | 2012 |
| Size-constrained 2-clustering in the plane with Manhattan distance. A Bertoni, M Goldwurm, J Lin, L Pini ICTCS, 33-44, 2014 | 3 | 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 | 2 | 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 | 2 | 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 | 2 | 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 | 2 | 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 | 2 | 2016 |
Lars Juhl JensenUniversity of CopenhagenEmail verificata su cpr.ku.dk
