| Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow F Giannini, V Laveglia, A Rossi, D Zanca, A Zugarini arXiv preprint arXiv:1703.05298, 2017 | 9* | 2017 |
| Learning to Identify Physiological and Adventitious Metal-Binding Sites in the Three-Dimensional Structures of Proteins by Following the Hints of a Deep Neural Network V Laveglia, A Giachetti, D Sala, C Andreini, A Rosato Journal of Chemical Information and Modeling 62 (12), 2951-2960, 2022 | 8 | 2022 |
| Automated determination of nuclear magnetic resonance chemical shift perturbations in ligand screening experiments: the PICASSO web server V Laveglia, A Giachetti, L Cerofolini, K Haubrich, M Fragai, A Ciulli, ... Journal of chemical information and modeling 61 (12), 5726-5733, 2021 | 6 | 2021 |
| A refinement algorithm for deep learning via error-driven propagation of target outputs V Laveglia, E Trentin IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 78-89, 2018 | 2 | 2018 |
| A hybrid recurrent neural network/dynamic probabilistic graphical model predictor of the disulfide bonding state of cysteines from the primary structure of proteins M Bongini, V Laveglia, E Trentin IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 257-268, 2016 | 2 | 2016 |
| Hunting down zinc (II)-binding sites in proteins with distance matrices V Laveglia, M Bazayeva, C Andreini, A Rosato Bioinformatics 39 (11), btad653, 2023 | 1 | 2023 |
| Metal-induced structural variability of mononuclear metal-binding sites from a database perspective M Bazayeva, V Laveglia, C Andreini, A Rosato Journal of Inorganic Biochemistry 238, 112025, 2023 | 1 | 2023 |
| Neural architecture search by growing internal computational units V Laveglia | 1 | 2019 |
| Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics M Bongini, A Freno, V Laveglia, E Trentin Neural Processing Letters 48, 733-768, 2018 | 1 | 2018 |
| Downward-Growing Neural Networks V Laveglia, E Trentin Entropy 25 (5), 733, 2023 | | 2023 |
Antonio RosatoAssociate Professor of Chemistry, University of FlorenceEmail verificata su unifi.it
