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2020 – today
- 2024
[j11]Leandro A Bugnon
, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone:
sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. Briefings Bioinform. 25(4) (2024)- 2022
- [j10]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:
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. Briefings Bioinform. 23(4) (2022) - [c2]Eugenio Borzone, Leandro Ezequiel Di Persia, Matias Gerard:
Neural Model-Based Similarity Prediction for Compounds with Unknown Structures. ICAI 2022: 75-87 - 2020
- [j9]Leandro A Bugnon, Cristian A. Yones, Jonathan Raad, Matias Gerard, Mariano Rubiolo, Gabriela Alejandra Merino, Milton Pividori, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer:
DL4papers: a deep learning approach for the automatic interpretation of scientific articles. Bioinform. 36(11): 3499-3506 (2020) - [j8]Matias Fernando Gerard, Raúl N. Comelli:
PhDSeeker: Pheromone-Directed Seeker for metabolic pathways. Biosyst. 198: 104259 (2020)
2010 – 2019
- 2019
- [j7]Georgina Stegmayer, Leandro E. Di Persia, Mariano Rubiolo, Matias Gerard, Milton Pividori, Cristian A. Yones, Leandro A Bugnon, Tadeo Rodriguez, Jonathan Raad, Diego H. Milone:
Predicting novel microRNA: a comprehensive comparison of machine learning approaches. Briefings Bioinform. 20(5): 1607-1620 (2019) - 2017
- [c1]Leandro Daniel Vignolo, Matias Fernando Gerard:
Evolutionary local improvement on genetic algorithms for feature selection. CLEI 2017: 1-8 - 2016
- [j6]Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone:
Evolutionary algorithm for metabolic pathways synthesis. Biosyst. 144: 55-67 (2016) - 2015
- [j5]Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone:
EvoMS: An evolutionary tool to find de novo metabolic pathways. Biosyst. 134: 43-47 (2015) - 2013
- [j4]Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone:
An evolutionary approach for searching metabolic pathways. Comput. Biol. Medicine 43(11): 1704-1712 (2013) - 2012
- [j3]Matias Fernando Gerard, Diego H. Milone, Georgina Stegmayer:
An evolutionary approach to metabolic pathways search. Inteligencia Artif. 15(49): 1-12 (2012) - [j2]Georgina Stegmayer, Matias Gerard, Diego H. Milone:
Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence. IEEE Comput. Intell. Mag. 7(4): 22-34 (2012)
2000 – 2009
- 2009
- [j1]Diego H. Milone, Georgina Stegmayer, Matias Gerard, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari:
Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión. Inteligencia Artif. 13(44): 56-66 (2009)
Coauthor Index
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