Listar INIT_Articles por autoría "86b3c397-575e-467b-91c7-a87b873ff1e1"

Mostrando ítems 1-6 de 6

    • openAccess   A New Under-Sampling Method to Face Class Overlap and Imbalance 

      Guzmán-Ponce, Angélica; Valdovinos Rosas, Rosa María; Sánchez Garreta, Josep Salvador; Marcial-Romero, J. Raymundo MDPI (2020-07-07)
      Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance. Several solutions ...

    • openAccess   DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem 

      Guzmán-Ponce, Angélica; Sánchez Garreta, Josep Salvador; Valdovinos Rosas, Rosa María; Marcial-Romero, J. Raymundo Elsevier (2020-11-12)
      The class imbalance problem occurs when one class far outnumbers the other classes, causing most traditional classifiers perform poorly on the minority classes. To tackle this problem, a plethora of techniques have been ...

    • openAccess   Equilibrating the recognition of the minority Class in the imbalance context 

      Cleofás Sánchez, Laura; Camacho Nieto, Oscar; Sánchez Garreta, Josep Salvador; Yáñez Márquez, Cornelio; Valdovinos Rosas, Rosa María Naturals Publishing (2014-01)
      In pattern recognition, it is well known that the classifier performance depends on the classification rule and the complexities presented in the data sets (such as class overlapping, class imbalance, outliers, high-dimensional ...

    • openAccess   Estudio empírico del enfoque asociativo en el contexto de los problemas de clasificación 

      Cleofas Sánchez, Laura; Pineda Briseno, Anabel; Valdovinos Rosas, Rosa María; Sánchez Garreta, Josep Salvador; García, Vicente; Camacho Nieto, Oscar; Pérez Meana, Héctor; Nakano Miyatake, Mariko Centro de Investigacion en Computacion (CIC) del Instituto Politecnico Nacional (IPN) (2019)
      Research carried out by the scientific community has shown that the performance of the classifiers depends not only on the learning rule, if not also on the complexities inherent in the data sets. Some traditional classifiers ...

    • openAccess   Identification of Latent Topics in Patients Surviving COVID-19 in Mexico 

      Guzmán-Ponce, Angélica; Fernandez-Beltran, Ruben; Valdovinos Rosas, Rosa María; Romero, Marcelo; Marcial-Romero, J. Raymundo IEEE (2023-01-11)
      With the outbreak of the SARS-CoV-2 o COVID-19 pandemic, multiple studies of risk factors and their influence on patient deaths have been developed. However, little attention is often paid to analyzing patients in risk ...

    • openAccess   Weighted Complete Graphs for Condensing Data 

      Guzmán-Ponce, Angélica; Marcial-Romero, J. Raymundo; Valdovinos Rosas, Rosa María; Sánchez Garreta, Josep Salvador Elsevier B.V. (2020-12-01)
      In many real-world problems (such as industrial applications, chemistry models, social network analysis, among others), their solution can be obtained by transforming the problem in terms of vertices and edges, that is ...