benjaminsainz

Data Science and AI at PepsiCo. Machine Learning Researcher.

Tecnológico de MonterreyMX

Pinned Repositories

AnomalyDetection
Benchmark of Bagging-Random Miner (BRM) against other semisupervised algorithms for anomaly detection.
Language:Jupyter Notebook0 1 00
covid-19-vaccine-tsa
Methodology for predicting the group of countries using certain vaccine with the less steep contagion rate. The paper related to this development is available at: https://link.springer.com/chapter/10.1007/978-3-030-89817-5_23
Language:Jupyter Notebook0 1 00
ecac
Source code of ECAC (Evolutionary Clustering Algorithm Using Classifiers) available at: https://ieeexplore.ieee.org/abstract/document/9504826
Language:Python0 0 00
ECAC-S
Source code of ECAC-S. The article related to this development is under preparation for submission.
Language:Python0 1 00
f1-ecac
Source code of F1-ECAC from the paper "F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers" available at https://ieeexplore.ieee.org/document/9551203
Language:Python0 1 00
mocle
Multi-objective Clustering Ensemble implementation following the method by Katti Faceli, Marcilio C.P. de Suoto, Daniel S.A. de Araújo, and André C.P.L.F. de Carvalho.
Language:Python4 1 01

benjaminsainz/mocle
Multi-objective Clustering Ensemble implementation following the method by Katti Faceli, Marcilio C.P. de Suoto, Daniel S.A. de Araújo, and André C.P.L.F. de Carvalho.
Language:Python4 1 01
benjaminsainz/AnomalyDetection
Benchmark of Bagging-Random Miner (BRM) against other semisupervised algorithms for anomaly detection.
Language:Jupyter Notebook0 1 00
benjaminsainz/covid-19-vaccine-tsa
Methodology for predicting the group of countries using certain vaccine with the less steep contagion rate. The paper related to this development is available at: https://link.springer.com/chapter/10.1007/978-3-030-89817-5_23
Language:Jupyter Notebook0 1 00
benjaminsainz/ecac
Source code of ECAC (Evolutionary Clustering Algorithm Using Classifiers) available at: https://ieeexplore.ieee.org/abstract/document/9504826
Language:Python0 0 00
benjaminsainz/ECAC-S
Source code of ECAC-S. The article related to this development is under preparation for submission.
Language:Python0 1 00
benjaminsainz/f1-ecac
Source code of F1-ECAC from the paper "F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers" available at https://ieeexplore.ieee.org/document/9551203
Language:Python0 1 00