Amelia Villegas-Morcillo

Orcid: 0000-0002-3286-049X

According to our database1, Amelia Villegas-Morcillo authored at least 8 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
ManyFold: an efficient and flexible library for training and validating protein folding models.
Bioinform., January, 2023

Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
An analysis of protein language model embeddings for fold prediction.
Briefings Bioinform., 2022

2021
Protein Fold Recognition From Sequences Using Convolutional and Recurrent Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

FoldHSphere: deep hyperspherical embeddings for protein fold recognition.
BMC Bioinform., 2021

Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function.
Bioinform., 2021

2018
Improved Protein Residue-Residue Contact Prediction Using Image Denoising Methods.
Proceedings of the 26th European Signal Processing Conference, 2018

End-to-end prediction of protein-protein interaction based on embedding and recurrent neural networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018


  Loading...