Matias Gerard - RankMe

13 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement. CoRR Leandro Daniel Vignolo, Matias Gerard
2025	J	`jnl`	A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications. CoRR Eugenio Borzone, Leandro E. Di Persia, Matias Gerard
2025	J	`jnl`	A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications. IEEE Trans. Signal Inf. Process. over Networks Eugenio Borzone, Leandro E. Di Persia, Matias Gerard
2025	J	`jnl`	Comprehensive benchmarking of large language models for RNA secondary structure prediction. Briefings Bioinform. Luciano I Zablocki, Leandro A. Bugnon, Matias Gerard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone
2024	J	`jnl`	Comprehensive benchmarking of large language models for RNA secondary structure prediction. CoRR Luciano I Zablocki, Leandro A. Bugnon, Matias Gerard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone
2024	J	`jnl`	sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. Briefings Bioinform. Leandro A. Bugnon, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone
2022	—	`conf`	Neural Model-Based Similarity Prediction for Compounds with Unknown Structures. ICAI Eugenio Borzone, Leandro Ezequiel Di Persia, Matias Gerard
2022	J	`jnl`	Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. Briefings Bioinform. 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
2020	J	`jnl`	DL4papers: a deep learning approach for the automatic interpretation of scientific articles. Bioinform. 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
2019	J	`jnl`	Predicting novel microRNA: a comprehensive comparison of machine learning approaches. Briefings Bioinform. 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
2014	—	`—`	Desarrollo de algoritmos evolutivos para el descubrimiento de relaciones en datos metabólicos Matias Gerard
2012	J	`jnl`	Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence. IEEE Comput. Intell. Mag. Georgina Stegmayer, Matias Gerard, Diego H. Milone
2009	J	`jnl`	Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión. Inteligencia Artif. Diego H. Milone, Georgina Stegmayer, Matias Gerard, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari