Vincenzo Laveglia

Orcid: 0000-0002-2358-7268

According to our database1, Vincenzo Laveglia authored at least 8 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Hunting down zinc(II)-binding sites in proteins with distance matrices.
Bioinform., October, 2023

Downward-Growing Neural Networks.
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.
J. Chem. Inf. Model., 2022

2021
Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web Server.
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.
Neural Process. Lett., 2018

A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow.
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.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016


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