Research Lab

I'm a member of LIA (Artificial Intelligence Laboratory) at FACOM / UFMS. LIA currently has 9 faculty members as main researchers, working with more than 30 students and other associated researchers. Our projects are focused in Machine Learning, Data and Text Mining, Natural Language Processing, Robotics, among other related areas.

Teaching

Semesters Course (U)ndergraduate / (G)raduate
2019 / 2, 2018 / 2, 2017 / 2 Algorithms and Object-Oriented Programming II U
2019 / 1, 2018 / 1, 2016 / 1, 2015 / 2, 2015 / 1 Algorithms and Object-Oriented Programming I U
2019 / 1, 2017 / 2, 2016 / 2, 2015 / 1, 2014 / 2 Artificial Intelligence U
2016 / 2 Artificial Intelligence G
2017 / 1 Database Systems U
2019 / 2 Topics in Artificial Intelligence U

Students

Masters Students

Name Work title Start year
Leonardo Fuchs Alves Machine Learning for building search strings in systematic literature reviews 2018
Lucas Akayama Vilhagra Deep Siamese K-Means: a semi-supervised algorithm for text clustering 2017
Shih Ting Ju One-class classification using semi-supervised clustering 2019

Undergraduate Students

Name Work title Start year
Alison Iuri Oghino de Moura One-class classification for fake news detection 2019
Isabella Bicalho Frazetto Machine Learning for genomic prediction 2019
Jorge Luís Melgarejo Fake news detection through transductive learning 2018
Silas Augusto Fernandes do Carmo Recommending specialists for public positions using text mining 2019
Vinícios Faustino Carvalho Aplying HCAC-ML in document clustering 2018
Walter Souza Using K-Means based semi-supervised algorithms in semi-supervised clustering 2019

Former Students

Masters Students

Name Work title Period
Yuri Karan Benevides Tomas Metric learning for semi-supervised clustering 2015 - 2017
João Domingos Ferreira Mundim (co-advisor) Miltiview event learning for websensor construction 2015 - 2018
Lucas de Souza Rodrigues (co-advisor) FlexRank: a fast lexicographic ranker 2014 - 2016
Ronaldo de Oliveira Florence (co-advisor) Semi-supervised clustering for websensors generation 2015 - 2018

Undergraduate Students

Name Work title Period
Bruno Nazário Rodrigues Student profile mining in educational environments 2015 - 2016
Caíque de Paula Figueiredo Coelho Effort prediction in software development through Machine Learning 2017
Doglas Wendll Sorgatto Student profile mining in educational environments 2015 - 2016
Jordan Butkenicius Malheiros Analysing Brazilian laws using Text Mining 2017
Lucas Akayama Vilhagra Sentiment analysis in social networks using semi-supervised clustering 2017
Mateus Vieira Fidelis Sentiment analysis in publications about FIFA 2018 World Cup in social networks 2018
Pedro Henrique da Silva Souza Semi-supervised clustering for market segmentation 2016 - 2017
Sandys de Castro Nunes Recommending automobile parts using Machine Learning 2019
Victoria Serra de Lima Moraes Semi-supervised document clustering through distance metric learning 2014 - 2016
Vitor Hugo Pereira Ribeiro Exploring Machine Learning algorithms for students dropout prediction in higher education 2017 - 2018

Contact

  • +55 67 33457877
  • Faculty of Computing, Federal University of Mato Grosso do Sul, Av. Costa e Silva, s/nº | Bairro Universitário | 79070-900, Campo Grande - MS | Brazil