Dec 3, 2025 路 8 min read 路 Brain Tumor Detection is one of the most popular deep learning problems. I had already worked on this task earlier using basic preprocessing and transfer learning. At that time, my pipeline was simple. I used contour detection to crop only the tumor ...
Join discussionMar 18, 2025 路 8 min read 路 7 min read | Published at IEEE ICAIQSA 2024 TL;DR 馃搵 Enhanced ResNet-50 model achieving 98.46% accuracy on breast tumor classification from ultrasound images Outperformed AlexNet, GoogleNet, and VGG by 6-16% Used Bayesian Optimization + Population-B...
Join discussionFeb 5, 2025 路 5 min read 路 5 min read | Published at IEEE ICAIQSA 2024 TL;DR 馃搵 Enhanced Xception model achieving 97.23% accuracy on tomato disease detection Outperformed CNN, DenseNet, and standard models by 2-8% Used Bayesian Optimization + Population-Based Training for ...
Join discussionNov 22, 2024 路 5 min read 路 Arxiv: https://arxiv.org/abs/2411.00390v1 PDF: https://arxiv.org/pdf/2411.00390v1.pdf Authors: Genta Indra Winata, Derry Tanti Wijaya, Lucky Susanto, Garry Kuwanto, David Anugraha Published: 2024-11-01 Understanding Machine Translation Evaluation: T...
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Nov 13, 2024 路 5 min read 路 Most of this is from my class notes for the session - DSCI 6653 - Bayesian Data Analysis at the University of New Haven. Bayesian optimization is a strategy for global optimization of black-box functions. In simpler terms, it is a smart way to find t...
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