Results 21 to 30 of about 2,573 (145)

Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction. [PDF]

PLoS ONE
Cervical cancer remains a leading cause of female mortality, particularly in developing regions, underscoring the critical need for early detection and intervention guided by skilled medical professionals.
Raafat M Munshi
doaj   +2 more sources

Komparasi Metode SMOTE dan ADASYN dalam Meningkatkan Performa Klasifikasi Herregistrasi Mahasiswa Baru [PDF]

, 2022
Universities annually accept new students at the beginning of the new school year. In the acceptance of prospective students on the Seleksi Prestasi Akademik Nasional Perguruan Tinggi Keagamaan Islam Negeri (SPAN PTKIN) di State Islamic University Of ...
Mujib Ridwan, Ahmad Yusuf, Nurdian, Risky Agung   +2 more
core   +1 more source

BILSTM using SMOTE and ADASYN oversampling techniques.

, 2023
BILSTM using SMOTE and ADASYN oversampling techniques.
Alaa Alomari (17403786), Pedro A. Castillo (17403789), Hossam Faris (8111340)   +2 more
core   +1 more source

Classification results of machine learning models using BoW with ADASYN.

, 2022
Classification results of machine learning models using BoW with ADASYN.
Furqan Rustam (10196722), Arif Mehmood (9406486), Saima Sadiq (6238643), Ramish Jamil (12975463), Gyu Sang Choi (9406495), Eysha Saad (12975460), Imran Ashraf (7370771)   +6 more
core   +1 more source

Classification results of machine learning models using GloVe with ADASYN.

, 2022
Classification results of machine learning models using GloVe with ADASYN.
Furqan Rustam (10196722), Arif Mehmood (9406486), Saima Sadiq (6238643), Ramish Jamil (12975463), Gyu Sang Choi (9406495), Eysha Saad (12975460), Imran Ashraf (7370771)   +6 more
core   +1 more source

A Comparative Review of SMOTE and ADASYN in Imbalanced Data Classification

, 2021
In this thesis, the performance of two over-sampling techniques, SMOTE and ADASYN, is compared. The comparison is done on three imbalanced data sets using three different classification models and evaluation metrics, while varying the way the data is pre-
Brandt, Jakob, Lanzén, Emil
core   +2 more sources

Komparasi metode SMOTE dan ADASYN dalam meningkatkan performa klasifikasi herregistrasi mahasiswa baru [PDF]

, 2021
Perguruan tinggi setiap tahunnya melakukan penerimaan mahasiswa baru pada awal tahun ajaran baru. Dalam penerimaan calon mahasiswa baru jalur SPAN PTKIN di UINSA banyak calon mahasiswa yang tidak melakukan daftar ulang akan berdampak kepada pendapatan ...
Nurdian, Risky Agung
core   +1 more source

Implementasi Adasyn Untuk Imbalance Data Pada Dataset UNSW-NB15 Adasyn Implementation For Data Imbalance on UNSW-NB15 Dataset

, 2022
Di masa Machine Learning pada saat ini, para peneliti bekerja keras untuk mengembangkan algoritma yang meningkatkan kemungkinan prediksi yang benar dengan akurasi yang lebih baik. Data tidak seimbang adalah ketika ukuran sampel dari satu kelas jauh lebih
Mukhlis Ali Rahman Nasution, Amien, Januar Al, Rizki, Yoze   +2 more
core   +1 more source

Classification results of machine learning models using TF-IDF with ADASYN.

, 2022
Classification results of machine learning models using TF-IDF with ADASYN.
Furqan Rustam (10196722), Arif Mehmood (9406486), Saima Sadiq (6238643), Ramish Jamil (12975463), Gyu Sang Choi (9406495), Eysha Saad (12975460), Imran Ashraf (7370771)   +6 more
core   +1 more source

Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
This research aims to analyze the impact of the Adaptive Synthetic (ADASYN) oversampling technique on the performance of the Naïve Bayes classification algorithm on datasets with class imbalance.
Muhammad Khahfi Zuhanda, Lisya Permata, Hartono, Erianto Ongko, Desniarti   +4 more
doaj   +1 more source