Eduardo C. Simões

According to our database, Eduardo C. Simões authored at least 12 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Gaussian kernel fuzzy c-means with width parameter computation and regularization.

Eduardo C. Simões, Francisco de A. T. de Carvalho

Pattern Recognit., November, 2023

2021

Developing Framework for Healthy Coping Feedback Messages Evaluation from Diabetes Mobile Apps.

Ploypun Narindrarangkura, Qing Ye, Suzanne A. Boren, Uzma Z. Khan, Eduardo C. Simões, Min Kim

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

An Analysis of Diabetes Mobile Apps Feedback Messages Focused on the Healthy Coping Principle.

Qing Ye, Suzanne A. Boren, Uzma Z. Khan, Eduardo C. Simões, Min Kim

Proceedings of the AMIA 2020, 2020

A Comparison of DSME/S Documentation in Clinic Notes between Primary Care and Diabetes Care Specialist.

Min Soon Kim, Uzma Z. Khan, Suzanne A. Boren, Qing Ye, Eduardo C. Simões

Proceedings of the AMIA 2020, 2020

2019

A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data.

Eduardo C. Simões, Francisco de A. T. de Carvalho

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

Gaussian kernel c-means hard clustering algorithms with automated computation of the width hyper-parameters.

Francisco de A. T. de Carvalho, Eduardo C. Simões, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira

Pattern Recognit., 2018

Developing Healthy Coping Features Tailored for Seniors Older Than 70 Years with Diabetes: An Exercise List, an Activity List, and a Mood Scale.

Qing Ye, Uzma Z. Khan, Suzanne Austin Boren, Eduardo C. Simões, Min Kim

Proceedings of the AMIA 2018, 2018

2017

Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances.

Francisco de A. T. de Carvalho, Eduardo C. Simões

Neurocomputing, 2017

2016

Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho, Eduardo C. Simões

Pattern Recognit., 2016

Batch SOM algorithms for interval-valued data with automatic weighting of the variables.

Francisco de A. T. de Carvalho, Patrice Bertrand, Eduardo C. Simões

Neurocomputing, 2016

A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation.

Francisco de A. T. de Carvalho, Marcelo Rodrigo Portela Ferreira, Eduardo C. Simões

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

2015

A Set-Medoids Vector Batch SOM Algorithm Based on Multiple Dissimilarity Matrices.

Francisco de A. T. de Carvalho, Eduardo C. Simões

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015