A graph-based approach for positive and unlabeled learning

Julio César Carnevali; Rafael Geraldeli Rossi; Evangelos Milios; Alneu de Andrade Lopes

doi:10.1016/j.ins.2021.08.099

A graph-based approach for positive and unlabeled learning

Julio César Carnevali, Rafael Geraldeli Rossi, Evangelos Milios, Alneu de Andrade Lopes

Atelier Future

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Original language	English
Pages (from-to)	655-672
Number of pages	18
Journal	Information Sciences
Volume	580
DOIs	https://doi.org/10.1016/j.ins.2021.08.099
Publication status	Published - Nov 2021

ASJC Scopus Subject Areas

Software
Control and Systems Engineering
Theoretical Computer Science
Computer Science Applications
Information Systems and Management
Artificial Intelligence

Access to Document

10.1016/j.ins.2021.08.099

Cite this

@article{a47a2c05f2df450ca5b418468629eaf6,

title = "A graph-based approach for positive and unlabeled learning",

author = "Carnevali, {Julio C{\'e}sar} and {Geraldeli Rossi}, Rafael and Evangelos Milios and {de Andrade Lopes}, Alneu",

note = "Funding Information: This work was supported by Brazilian National Research Council (CNPq), Grant No. 132770/2018–0 (Julio Carnevali), 433082/2018–6 (Rafael Rossi), 304040/2019–3 (Alneu de Andrade Lopes), CALDO-FAPESP Grant No. 2017/50153–9 (Alneu de Andrade Lopes and Evangelos Milios), and in part by the Federal University of Mato Grosso do Sul - UFMS/MEC (Rafael Rossi). Evangelos Milios was also supported by the Natural Sciences and Engineering Research Council of Canada, and the Boeing Company. Publisher Copyright: {\textcopyright} 2021 Elsevier Inc.",

year = "2021",

month = nov,

doi = "10.1016/j.ins.2021.08.099",

language = "English",

volume = "580",

pages = "655--672",

journal = "Information Sciences",

issn = "0020-0255",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - A graph-based approach for positive and unlabeled learning

AU - Carnevali, Julio César

AU - Geraldeli Rossi, Rafael

AU - Milios, Evangelos

AU - de Andrade Lopes, Alneu

N1 - Funding Information: This work was supported by Brazilian National Research Council (CNPq), Grant No. 132770/2018–0 (Julio Carnevali), 433082/2018–6 (Rafael Rossi), 304040/2019–3 (Alneu de Andrade Lopes), CALDO-FAPESP Grant No. 2017/50153–9 (Alneu de Andrade Lopes and Evangelos Milios), and in part by the Federal University of Mato Grosso do Sul - UFMS/MEC (Rafael Rossi). Evangelos Milios was also supported by the Natural Sciences and Engineering Research Council of Canada, and the Boeing Company. Publisher Copyright: © 2021 Elsevier Inc.

PY - 2021/11

Y1 - 2021/11

UR - http://www.scopus.com/inward/record.url?scp=85114765434&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85114765434&partnerID=8YFLogxK

U2 - 10.1016/j.ins.2021.08.099

DO - 10.1016/j.ins.2021.08.099

M3 - Article

AN - SCOPUS:85114765434

SN - 0020-0255

VL - 580

SP - 655

EP - 672

JO - Information Sciences

JF - Information Sciences

ER -

A graph-based approach for positive and unlabeled learning

ASJC Scopus Subject Areas

Access to Document

Other files and links

Fingerprint

Cite this