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publications

Breast Cancer Histopathological Image Classification using Progressive Resizing Approach

Published in The 1st International Conference on Emerging Issues in Technology, Engineering, and Science (ICE-TES), 2021

This paper proposes a method that merges multiple breast cancer histopathological image datasets into a unified three-class dataset, applies Vahadane preprocessing and progressive resizing training, and achieves an \(F_1\) score of around 99%, comparable to other state-of-the-art models.

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Model Prediksi Harga Penutupan di Bursa Efek Indonesia dengan Menggunakan Bidirectional LSTM dan HIVE-COTE

Published in Jurnal Tekno Kompak, 2025

Penelitian ini membandingkan model Bi-LSTM dan HIVE-COTE 2.0 dalam memprediksi klasifikasi harga penutupan saham menggunakan fitur-fitur hasil feature engineering, dan menyimpulkan bahwa HIVE-COTE 2.0 lebih unggul dengan \(F_1\)-score 98,7% serta merekomendasikan persentase perubahan harga sebagai fitur paling berpengaruh.

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talks

Interpretable Machine Learning

Published:

This talk discusses machine learning concepts and the interpretability of machine learning models.

teaching