Anak Agung Adi Widya Kusuma
Peramalan tingkat morbiditas tuberkulosis di Indonesia menggunakan temporal convolutional neural network dan exponential smoothing = Forecasting the tuberculosis morbidity rate in Indonesia using temporal convolutional neural network and exponential smoothing
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2020
 UI - Tesis Membership
Gita Ayu Salsabila
Perbandingan Convolutional Neural Network dan Convolutional Recurrent Neural Network sebagai Model Multiclass Keyword Spotting pada Edge Device = Convolutional Neural Network and Convolutional Recurrent Neural Network Comparison as Multiclass Keyword Spotting Model on Edge Device
Fakultas Teknik Universitas Indonesia, 2021
 UI - Skripsi Membership
Muhammad Taqiyuddin
Perbandingan kerja recurrent neural network dan convolutional neural network pada analisis sentimen berbasis teks = Comparison of recurrent neural network and convolutional neural network on text-based sentiment analysis
Fakultas Teknik Universitas Indonesia, 2017
 UI - Skripsi Membership
Sihombing, Anggia Abygail
Peramalan Tingkat Morbiditas Tuberkulosis di Indonesia Menggunakan Model Lee-Carter = Forecasting Morbidity Rate of Tuberculosis in Indonesia Using Lee-Carter Model
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
 UI - Skripsi Membership
Lutfiani Safitri
Perbandingan model lee-carter klasik dan umum untuk meramalkan tingkat mortalitas di indonesia dengan menggunakan metode neural network = Comparison of classical lee-carter model and umum lee- carter model for forecasting mortality rate in indonesia with neural network method
2018
 UI - Tesis Membership