Rodrigo Alves Randel
Student (Ph.D.), GERAD
Polytechnique Montréal, Canada
Education
since Jan 2017
Ph.D.
New methods in semi-supervised clustering
Polytechnique Montréal – Department of Computer Engineering,
Daniel Aloise,
director,
Alain Hertz,
co-director,
Pierre Hansen,
co-director
Jul 2014 – Dec 2016
Master's degree
Utilização do problema das p-medianas como critério para o agrupamento de dados semi-supervisionado
Universidade Federal do Rio Grande do Norte,
Daniel Aloise,
director
Cahiers du GERAD
Publications
Feb 2020
A Lagrangian-based score for assessing the quality of pairwise constraints in SSC
Rodrigo Alves Randel, Daniel Aloise, Simon Blanchard, and Alain Hertz
Submitted to: Data Mining and Knowledge Discovery, 20 pages, 2020
BibTeX reference
Mar 2019
Rodrigo Alves Randel, Daniel Aloise, Nenad Mladenović, and Pierre Hansen
Variable Neighborhood Search. ICVNS 2018, Lecture Notes in Computer Science, vol. 11328, Springer, Cham, Greece, 13–27, 2019
BibTeX reference
Events
10:00 AM–12:00 PMApr 20, 2018 10:00 AM
workshop
Room 4488, André-Aisenstadt Building, Université de Montréal Campus