Vincenzo Laveglia
Vincenzo Laveglia
postdoc researcher at CERM/CIRMMP
Email verificata su
Citata da
Citata da
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
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
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
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
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
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
Neural architecture search by growing internal computational units
V Laveglia
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
Hunting down zinc (II)-binding sites in proteins with distance matrices
V Laveglia, M Bazayeva, C Andreini, A Rosato
Bioinformatics, btad653, 2023
Downward-Growing Neural Networks
V Laveglia, E Trentin
Entropy 25 (5), 733, 2023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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