Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión. - Diego H. Milone; Georgina Stegmayer; Matias Gerard; Laura Kamenetzky; Mariana G. Lopez; Fernando Carrari (Inteligencia Artif., 2009)

An evolutionary approach to metabolic pathways search. - Matias Fernando Gerard; Diego H. Milone; Georgina Stegmayer (Inteligencia Artif., 2012)

Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence. - Georgina Stegmayer; Matias Gerard; Diego H. Milone (IEEE Comput. Intell. Mag., 2012)

An evolutionary approach for searching metabolic pathways. - Matias Fernando Gerard; Georgina Stegmayer; Diego H. Milone (Comput. Biol. Medicine, 2013)

Desarrollo de algoritmos evolutivos para el descubrimiento de relaciones en datos metabólicos - Matias Gerard (2014)

EvoMS: An evolutionary tool to find de novo metabolic pathways. - Matias Fernando Gerard; Georgina Stegmayer; Diego H. Milone (Biosyst., 2015)

Evolutionary algorithm for metabolic pathways synthesis. - Matias Fernando Gerard; Georgina Stegmayer; Diego H. Milone (Biosyst., 2016)

Evolutionary local improvement on genetic algorithms for feature selection. - Leandro Daniel Vignolo; Matias Fernando Gerard (CLEI, 2017)

Predicting novel microRNA: a comprehensive comparison of machine learning approaches. - 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 (Briefings Bioinform., 2019)

DL4papers: a deep learning approach for the automatic interpretation of scientific articles. - 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 (Bioinform., 2020)

PhDSeeker: Pheromone-Directed Seeker for metabolic pathways. - Matias Fernando Gerard; Raúl N. Comelli (Biosyst., 2020)

Neural Model-Based Similarity Prediction for Compounds with Unknown Structures. - Eugenio Borzone; Leandro Ezequiel Di Persia; Matias Gerard (ICAI, 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; et al. (Briefings Bioinform., 2022)

sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. - Leandro A Bugnon; Leandro E. Di Persia; Matias Gerard; Jonathan Raad; Santiago Prochetto; Emilio Fenoy; Uciel Chorostecki; Federico Ariel; Georgina Stegmayer; Diego H. Milone (Briefings Bioinform., 2024)

Comprehensive benchmarking of large language models for RNA secondary structure prediction. - Luciano I Zablocki; Leandro A Bugnon; Matias Gerard; Leandro E. Di Persia; Georgina Stegmayer; Diego H. Milone (Briefings Bioinform., 2024)

A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications. - Eugenio Borzone; Leandro E. Di Persia; Matias Gerard (CoRR, 2025)