gerson zaverucha

gerson zaverucha

Universidade Federal do Rio de Janeiro

H-index: 18

Latin America-Brazil

About gerson zaverucha

gerson zaverucha, With an exceptional h-index of 18 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidade Federal do Rio de Janeiro, specializes in the field of Artificial Intelligence, Machine Learning, Inductive Logic Programming.

His recent articles reflect a diverse array of research interests and contributions to the field:

Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning

Word embeddings-based transfer learning for boosted relational dependency networks

A statistical relational learning approach towards products, software vulnerabilities and exploits

Neural-symbolic learning and reasoning: A survey and interpretation

Combining word embeddings-based similarity measures for transfer learning across relational domains

Mapping across relational domains for transfer learning with word embeddings-based similarity

Transfer learning for boosted relational dependency networks through genetic algorithm

Software vulnerabilities, products and exploits: A statistical relational learning approach

gerson zaverucha Information

University

Position

Professor

Citations(all)

1691

Citations(since 2020)

730

Cited By

1203

hIndex(all)

18

hIndex(since 2020)

9

i10Index(all)

41

i10Index(since 2020)

9

Email

University Profile Page

Universidade Federal do Rio de Janeiro

Google Scholar

View Google Scholar Profile

gerson zaverucha Skills & Research Interests

Artificial Intelligence

Machine Learning

Inductive Logic Programming

Top articles of gerson zaverucha

Title

Journal

Author(s)

Publication Date

Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning

Thais Luca

Aline Paes

Gerson Zaverucha

2023/11/13

Word embeddings-based transfer learning for boosted relational dependency networks

Machine Learning

Thais Luca

Aline Paes

Gerson Zaverucha

2023/9/20

A statistical relational learning approach towards products, software vulnerabilities and exploits

IEEE Transactions on Network and Service Management

Cainã Figueiredo Pereira

João Gabriel Lopes de Oliveira

Rodrigo Azevedo Santos

Daniel Vieira

Lucas Miranda

...

2023/1/6

Neural-symbolic learning and reasoning: A survey and interpretation

Neuro-Symbolic Artificial Intelligence: The State of the Art

Artur d’Avila Garcez

Sebastian Bader

Howard Bowman

Luis C Lamb

Leo de Penning

...

2022/1/19

Combining word embeddings-based similarity measures for transfer learning across relational domains

Thais Luca

Aline Paes

Gerson Zaverucha

2022/9/28

Mapping across relational domains for transfer learning with word embeddings-based similarity

Thais Luca

Aline Paes

Gerson Zaverucha

2021/10/25

Transfer learning for boosted relational dependency networks through genetic algorithm

Leticia Freire de Figueiredo

Aline Paes

Gerson Zaverucha

2021/10/25

Software vulnerabilities, products and exploits: A statistical relational learning approach

Cainã Figueiredo

João Gabriel Lopes

Rodrigo Azevedo

Gerson Zaverucha

Daniel Sadoc Menasché

...

2021/7/26

Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance

Tatiana Sciammarella

Gerson Zaverucha

2020

Transfer learning by mapping and revising boosted relational dependency networks

Machine Learning

Rodrigo Azevedo Santos

Aline Paes

Gerson Zaverucha

2020/7

See List of Professors in gerson zaverucha University(Universidade Federal do Rio de Janeiro)