Alejandro Edera

According to our database, Alejandro Edera authored at least 12 papers between 2011 and 2023.

Collaborative distances:

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

2023

Transfer learning: The key to functionally annotate the protein universe.

Leandro A Bugnon, Emilio Fenoy, Alejandro A. Edera, Jonathan Raad, Georgina Stegmayer, Diego H. Milone

Patterns, February, 2023

2022

Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks.

Emilio Fenoy, Alejandro A. Edera, Georgina Stegmayer

Briefings Bioinform., 2022

Anc2vec: embedding gene ontology terms by preserving ancestors relationships.

Alejandro A. Edera, Diego H. Milone, Georgina Stegmayer

Briefings Bioinform., 2022

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches.

Leandro A Bugnon, Alejandro A. Edera, Santiago Prochetto, Matias Gerard, Jonathan Raad, Emilio Fenoy, Mariano Rubiolo, Uciel Chorostecki, Toni Gabaldón, Federico Ariel, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer

Briefings Bioinform., 2022

2021

Deepred-Mt: Deep representation learning for predicting C-to-U RNA editing in plant mitochondria.

Alejandro Edera, Ian Small, Diego H. Milone, M. Virginia Sanchez-Puerta

Comput. Biol. Medicine, 2021

2014

Learning Markov Network Structures Constrained by Context-Specific Independences.

Alejandro Edera, Federico Schlüter, Facundo Bromberg

Int. J. Artif. Intell. Tools, 2014

The IBMAP approach for Markov network structure learning.

Federico Schlüter, Facundo Bromberg, Alejandro Edera

Ann. Math. Artif. Intell., 2014

The Grow-Shrink Strategy for Learning Markov Network Structures Constrained by Context-Specific Independences.

Alejandro Edera, Yanela Strappa, Facundo Bromberg

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

2013

The IBMAP approach for Markov networks structure learning

Federico Schlüter, Facundo Bromberg, Alejandro Edera

CoRR, 2013

Markov random fields factorization with context-specific independences.

Alejandro Edera, Facundo Bromberg, Federico Schlüter

CoRR, 2013

Learning Markov Networks with Context-Specific Independences.

Alejandro Edera, Federico Schlüter, Facundo Bromberg

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2011

Independence-Based MAP for Markov Networks Structure Discovery.

Facundo Bromberg, Federico Schlüter, Alejandro Edera

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011