| 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, 1-23, 2019 | 385 | 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 | 112 | 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 | 98 | 2020 |
| pyVHR: a Python framework for remote photoplethysmography G Boccignone, D Conte, V Cuculo, A D’Amelio, G Grossi, R Lanzarotti, ... PeerJ Computer Science 8, e929, 2022 | 40 | 2022 |
| 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 | 40 | 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 | 33 | 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 | 29 | 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 | 27 | 2019 |
| Orthogonal procrustes analysis for dictionary learning in sparse linear representation G Grossi, R Lanzarotti, J Lin PloS one 12 (1), e0169663, 2017 | 21 | 2017 |
| A neural algorithm for the maximum clique problem: analysis, experiments, and circuit implementation A Bertoni, P Campadelli, G Grossi Algorithmica 33, 71-88, 2002 | 21 | 2002 |
| A genetic model: analysis and application to MAXSAT. A Bertoni, P Campadelli, M Carpentieri, G Grossi Evolutionary Computation 8 (3), 291-309, 2000 | 21 | 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 hoc …, 2008 | 20 | 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 International …, 2018 | 19 | 2018 |
| 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 | 19 | 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 | 18 | 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 | 18 | 2016 |
| 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 | 17 | 2018 |
| 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 | 17 | 2016 |
| 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 | 16 | 1997 |
| A genetic model and the Hopfield networks A Bertoni, P Campadelli, M Carpentieri, G Grossi Artificial Neural Networks—ICANN 96: 1996 International Conference Bochum …, 1996 | 16 | 1996 |
Raffaella LanzarottiUniversità degli studi di Milano (Italy)Email verificata su di.unimi.it
