Sentiment analysis for TikTok review using VADER sentiment and SVM model

M Isnan, GN Elwirehardja, B Pardamean - Procedia Computer Science, 2023 - Elsevier
TikTok, a social networking site for uploading short videos, has become one of the most
popular. Despite this, not all users are happy with the app; there are criticisms and …

A Systematic Literature Review of CNN Approaches in Classifying Brain Tumor

AY Paulindino, B Pardamean… - 2023 6th International …, 2023 - ieeexplore.ieee.org
The ability of Convolutional Neural Networks (CNNs) to accurately discriminate between
normal and tumorous brain tissues has been promising. The review focuses on the different …

Indonesian agricultural-crops classification using transfer learning model

M Isnan, AA Hidayat, B Pardamean - Procedia Computer Science, 2023 - Elsevier
Classification of Indonesian crops is a critical task in developing farming and getting more
understanding of agriculture. However, there is no clear task in classifying types of crops in …

[PDF][PDF] Evaluating Self-Supervised Pre-trained Vision Transformer on Imbalanced Data for Lung Disease Classification

E Selvano, AY Paulindino, G Elwirehardja… - ICIC Express Letters …, 2023 - researchgate.net
Lung disease has been known as one of the most prevalent medical disorders globally and
a leading cause of death and disability. Pneumonia, one of the most common lung diseases …

Pap Smear Medical Image Classification Using Deep Learning: A Systematic Review

E Selvano, GN Elwirehardja… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Cervical cancer has been known as one of the most prevalent medical disorders globally
and a leading cause of death. Early detection, particularly through Pap tests, plays a vital …

An Experimental Comparison of Transfer Learning against Self-supervised Learning

Z Zhao, L Alzubaidi, J Zhang, Y Duan… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, transfer learning and self-supervised learning have gained significant attention
within the medical field due to their ability to mitigate the challenges posed by limited data …

[PDF][PDF] Self-supervised model in multi-task learning for classifying pap smear cells

E Selvano, GN Elwirehardja… - 革新的コンピューティング …, 2024 - researchgate.net
Cervical cancer is recognized as a widespread global health issue and a primary contributor
to mortality. Timely identification, especially through Pap tests, plays a crucial role in …

LDA Topic Modeling for Bioinformatics Terms in arXiv Documents

AS Karnyoto, MM Henry, B Pardamean - Procedia Computer Science, 2024 - Elsevier
A wide variety of disciplines contribute to bioinformatics research, including computer
science, biology, chemistry, mathematics, and physics. This study determines the number of …

Semi-automated meningioma segmentation with bounding boxes

NA Heryanto, M Isnan, MM Henry… - Procedia Computer …, 2024 - Elsevier
Segmentation is manually performed by physicians, which takes considerable time and may
be subject to observers. Automating this task can increase efficiency and consistency …

A Hybrid CNN-SVM Approach for Malaria in Blood Cell Detection

AS Karnyoto, M Isnan… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
There is still a severe malaria problem worldwide, particularly in regions with limited access
to diagnostic tools. It is crucial to develop a system for detecting malaria in blood cells. This …