Ummi Athiyah, S.Kom., M.Kom.

NIDN : 0621129001
NIP : 22900012
ID Sinta : ouJBHJoAAAAJ
ID Scopus : 57225085286
Bidang Keahlian : Image Processing, Machine Learning
Kelompok Keilmuan : Informatika dan Komputer
Center of Excellence : Healthcare and well being technologies (HWBT)
Minat Penelitian : Image Processing, Machine Learning
S1 :
S2 :
  • Effectiveness of K-Means Clustering-Based Outlier Handling Techniques in Colonic Condition Endoscopy Image Classification Using CNN
  • Classification of Cavendish Banana Quality using Convolutional Neural Network
  • Comparison of naive bayes classifier and support vector machine methods for sentiment classification of responses to bullying cases on Twitter
  • Classification Taxonomies Genus of 90 Animals Using Transfer Learning Resnet-152
  • Product layout recommendations based on customer behavior and data mining