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2020 – today
- 2023
[j5]Vincenzo Laveglia, Milana Bazayeva
, Claudia Andreini, Antonio Rosato:
Hunting down zinc(II)-binding sites in proteins with distance matrices. Bioinform. 39(10) (2023)- [j4]Vincenzo Laveglia, Edmondo Trentin:
Downward-Growing Neural Networks. Entropy 25(5): 733 (2023) - 2022
- [j3]Vincenzo Laveglia, Andrea Giachetti, Davide Sala, Claudia Andreini, Antonio Rosato:
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. J. Chem. Inf. Model. 62(12): 2951-2960 (2022) - 2021
- [j2]Vincenzo Laveglia, Andrea Giachetti, Linda Cerofolini, Kevin Haubrich, Marco Fragai, Alessio Ciulli, Antonio Rosato:
Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web Server. J. Chem. Inf. Model. 61(12): 5726-5733 (2021)
2010 – 2019
- 2018
- [j1]Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin:
Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics. Neural Process. Lett. 48(2): 733-768 (2018) - [c2]Vincenzo Laveglia, Edmondo Trentin:
A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs. ANNPR 2018: 78-89 - 2017
- [i1]Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi, Dario Zanca, Andrea Zugarini:
Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow. CoRR abs/1703.05298 (2017) - 2016
- [c1]Marco Bongini, Vincenzo Laveglia, Edmondo Trentin:
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins. ANNPR 2016: 257-268
Coauthor Index
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