Milton Pividori

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 10

Top Topics

Neurodegenerative Diseases

Machine Learning Approaches

Scientific Articles

Consensus Clustering

Top Venues

Briefings Bioinform.

Nat. Comput. Sci.

Inteligencia Artif.

Publications

Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James A. Evans, Xin Gao, Andrey Rzhetsky
Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nat. Comput. Sci. 3 (7) (2023)
Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James A. Evans, Xin Gao, Andrey Rzhetsky
The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nat. Comput. Sci. 3 (5) (2023)
Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan
Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition. ACDA (2021)
Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan
Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition. CoRR (2021)
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) (2020)
Milton Pividori, Hae Kyung Im
ukbREST: efficient and streamlined data access for reproducible research in large biobanks. Bioinform. 35 (11) (2019)
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) (2019)
Milton Pividori, Andres Cernadas, Luis A. de Haro, Fernando Carrari, Georgina Stegmayer, Diego H. Milone
Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization. Bioinform. 35 (11) (2019)
Georgina Stegmayer, Milton Pividori, Diego H. Milone
A very simple and fast way to access and validate algorithms in reproducible research. Briefings Bioinform. 17 (1) (2016)
Milton Pividori, Georgina Stegmayer, Diego H. Milone
Diversity control for improving the analysis of consensus clustering. Inf. Sci. (2016)
Milton Pividori, Georgina Stegmayer, Diego H. Milone
A Method to Improve the Analysis of Cluster Ensembles. Inteligencia Artif. 17 (53) (2014)