Vincenzo Laveglia

According to our database, Vincenzo Laveglia authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Hunting down zinc(II)-binding sites in proteins with distance matrices.

Vincenzo Laveglia, Milana Bazayeva, Claudia Andreini, Antonio Rosato

Bioinform., October, 2023

Downward-Growing Neural Networks.

Vincenzo Laveglia, Edmondo Trentin

Entropy, 2023

2022

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.

Vincenzo Laveglia, Andrea Giachetti, Davide Sala, Claudia Andreini, Antonio Rosato

J. Chem. Inf. Model., 2022

2021

Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web Server.

Vincenzo Laveglia, Andrea Giachetti, Linda Cerofolini, Kevin Haubrich, Marco Fragai, Alessio Ciulli, Antonio Rosato

J. Chem. Inf. Model., 2021

2018

Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics.

Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin

Neural Process. Lett., 2018

A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs.

Vincenzo Laveglia, Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017

Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow.

Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi, Dario Zanca, Andrea Zugarini

CoRR, 2017

2016

A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins.

Marco Bongini, Vincenzo Laveglia, Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016