Devvi Sarwinda

Orcid: 0000-0001-8644-2560

According to our database1, Devvi Sarwinda authored at least 12 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
Triclustering Discovery Using the δ-Trimax Method on Microarray Gene Expression Data.
Symmetry, 2021

Artificial intelligence paradigm for ligand-based virtual screening on the drug discovery of type 2 diabetes mellitus.
J. Big Data, 2021

2019
Average Restrain Divider of Evaluation Value (ARDEV) in data stream algorithm for big data prediction.
Knowl. Based Syst., 2019

Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream.
J. Big Data, 2019

Selecting Features Subsets Based on Support Vector Machine-Recursive Features Elimination and One Dimensional-Naïve Bayes Classifier using Support Vector Machines for Classification of Prostate and Breast Cancer.
Proceedings of the Enabling Collaboration to Escalate Impact of Research Results for Society: The 4th International Conference on Computer Science and Computational Intelligence, 2019

The Performance of One Dimensional Naïve Bayes Classifier for Feature Selection in Predicting Prospective Car Insurance Buyers.
Proceedings of the Data Mining and Big Data - 4th International Conference, 2019

2018
Texture and Gene Expression Analysis of the MRI Brain in Detection of Alzheimer's Disease.
J. Artif. Intell. Soft Comput. Res., 2018

Classification of Diabetic Retinopathy Stages using Histogram of Oriented Gradients and Shallow Learning.
Proceedings of the 2018 International Conference on Computer, 2018

3D-HOG Features -Based Classification using MRI Images to Early Diagnosis of Alzheimer's Disease.
Proceedings of the 17th IEEE/ACIS International Conference on Computer and Information Science, 2018

2017
Fundus image texture features analysis in diabetic retinopathy diagnosis.
Proceedings of the Eleventh International Conference on Sensing Technology, 2017

2016
Perceptron rule improvement on FIMT-DD for large traffic data stream.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Detection of Alzheimer's disease using advanced local binary pattern from hippocampus and whole brain of MR images.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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